{
  "session_id": "20260522_230108_c351cf3a",
  "model": "gpt-5.5",
  "base_url": "https://chatgpt.com/backend-api/codex",
  "platform": "telegram",
  "session_start": "2026-05-22T23:01:09.153644",
  "last_updated": "2026-05-22T23:14:48.059024",
  "system_prompt": "# Hermes Agent Persona\n\n<!--\nThis file defines the agent's personality and tone.\nThe agent will embody whatever you write here.\nEdit this to customize how Hermes communicates with you.\n\nExamples:\n  - \"You are a warm, playful assistant who uses kaomoji occasionally.\"\n  - \"You are a concise technical expert. No fluff, just facts.\"\n  - \"You speak like a friendly coworker who happens to know everything.\"\n\nThis file is loaded fresh each message -- no restart needed.\nDelete the contents (or this file) to use the default personality.\n-->\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. Specifically: do not record PR numbers, issue numbers, commit SHAs, 'fixed bug X', 'submitted PR Y', 'Phase N done', file counts, or any artifact that will be stale in 7 days. If a fact will be stale in a week, it does not belong in memory. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n# Tool-use enforcement\nYou MUST use your tools to take action — do not describe what you would do or plan to do without actually doing it. When you say you will perform an action (e.g. 'I will run the tests', 'Let me check the file', 'I will create the project'), you MUST immediately make the corresponding tool call in the same response. Never end your turn with a promise of future action — execute it now.\nKeep working until the task is actually complete. Do not stop with a summary of what you plan to do next time. If you have tools available that can accomplish the task, use them instead of telling the user what you would do.\nEvery response should either (a) contain tool calls that make progress, or (b) deliver a final result to the user. Responses that only describe intentions without acting are not acceptable.\n\n# Execution discipline\n<tool_persistence>\n- Use tools whenever they improve correctness, completeness, or grounding.\n- Do not stop early when another tool call would materially improve the result.\n- If a tool returns empty or partial results, retry with a different query or strategy before giving up.\n- Keep calling tools until: (1) the task is complete, AND (2) you have verified the result.\n</tool_persistence>\n\n<mandatory_tool_use>\nNEVER answer these from memory or mental computation — ALWAYS use a tool:\n- Arithmetic, math, calculations → use terminal or execute_code\n- Hashes, encodings, checksums → use terminal (e.g. sha256sum, base64)\n- Current time, date, timezone → use terminal (e.g. date)\n- System state: OS, CPU, memory, disk, ports, processes → use terminal\n- File contents, sizes, line counts → use read_file, search_files, or terminal\n- Git history, branches, diffs → use terminal\n- Current facts (weather, news, versions) → use web_search\nYour memory and user profile describe the USER, not the system you are running on. The execution environment may differ from what the user profile says about their personal setup.\n</mandatory_tool_use>\n\n<act_dont_ask>\nWhen a question has an obvious default interpretation, act on it immediately instead of asking for clarification. Examples:\n- 'Is port 443 open?' → check THIS machine (don't ask 'open where?')\n- 'What OS am I running?' → check the live system (don't use user profile)\n- 'What time is it?' → run `date` (don't guess)\nOnly ask for clarification when the ambiguity genuinely changes what tool you would call.\n</act_dont_ask>\n\n<prerequisite_checks>\n- Before taking an action, check whether prerequisite discovery, lookup, or context-gathering steps are needed.\n- Do not skip prerequisite steps just because the final action seems obvious.\n- If a task depends on output from a prior step, resolve that dependency first.\n</prerequisite_checks>\n\n<verification>\nBefore finalizing your response:\n- Correctness: does the output satisfy every stated requirement?\n- Grounding: are factual claims backed by tool outputs or provided context?\n- Formatting: does the output match the requested format or schema?\n- Safety: if the next step has side effects (file writes, commands, API calls), confirm scope before executing.\n</verification>\n\n<missing_context>\n- If required context is missing, do NOT guess or hallucinate an answer.\n- Use the appropriate lookup tool when missing information is retrievable (search_files, web_search, read_file, etc.).\n- Ask a clarifying question only when the information cannot be retrieved by tools.\n- If you must proceed with incomplete information, label assumptions explicitly.\n</missing_context>\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n<available_skills>\n  autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n    - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n    - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n    - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n    - opencode: Delegate coding to OpenCode CLI (features, PR review).\n  creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n    - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n    - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n    - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n    - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n    - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n    - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n    - comfyui: Generate images, video, and audio with ComfyUI — install,...\n    - design-md: Author/validate/export Google's DESIGN.md token spec files.\n    - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n    - humanizer: Humanize text: strip AI-isms and add real voice.\n    - ideation: Generate project ideas via creative constraints.\n    - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n    - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n    - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n    - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n    - pretext: Use when building creative browser demos with @chenglou/p...\n    - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n    - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n    - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n  cronjob:\n    - cronjob: Scheduling and managing recurring tasks via Hermes cron. ...\n  data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n    - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n  devops:\n    - kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...\n    - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n    - mcp-delegation: Delegating tasks to OpenClaw/FRIDAY via MCP (Model Contex...\n    - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n  dogfood:\n    - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n  edge-tts:\n    - edge-tts: Text-to-speech using Microsoft Edge TTS. Supports multipl...\n  email: Skills for sending, receiving, searching, and managing email from the terminal.\n    - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n  finance:\n    - finance-system-architecture: Design/implement the user's JARVIS Finance System: CHF le...\n  gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n    - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n    - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n  github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n    - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n    - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n    - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n    - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n    - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n    - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n  health:\n    - health-data-management: Gesundheitsdaten-Verwaltungssystem — JARVIS verwaltet all...\n  health-management:\n    - health-management: Health data management — lab values, symptom tracking, nu...\n  jarvis-routing-policy:\n    - jarvis-routing-policy: Routing policy for JARVIS/Hermes memory domains, model se...\n  mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n    - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n  media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n    - gif-search: Search/download GIFs from Tenor via curl + jq.\n    - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n    - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n    - spotify: Spotify: play, search, queue, manage playlists and devices.\n    - youtube-content: YouTube transcripts to summaries, threads, blogs.\n  mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n    - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n  mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n    - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n    - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n  mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n    - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n    - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n    - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n    - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n  mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n    - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n    - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n  mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n    - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n  mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n    - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n    - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n    - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n  note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n    - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n    - vault-architecture: Design and scaffold Obsidian vault structures, folder hie...\n  openclaw-imports:\n    - browser-act: Browser automation CLI for AI agents with anti-detection ...\n    - gog: Google Workspace CLI for Gmail, Calendar, Drive, Contacts...\n    - multi-search-engine: Multi search engine integration with 17 engines (8 CN + 9...\n    - openai-whisper: Local speech-to-text with the Whisper CLI (no API key).\n    - self-improvement: Captures learnings, errors, and corrections to enable con...\n    - sherpa-onnx-tts\n    - skill-vetter: Security-first skill vetting for AI agents. Use before in...\n    - summarize: Summarize URLs or files with the summarize CLI (web, PDFs...\n    - tavily: Tavily web search, content extraction, and research tools.\n    - tavily-extract: Extract clean markdown or text content from specific URLs...\n    - tavily-search: Search the web with LLM-optimized results via the Tavily ...\n    - todoist: Manage tasks and projects in Todoist via REST API v1. Use...\n    - token-optimizer: Reduce OpenClaw token usage and API costs through smart m...\n  productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n    - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n    - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n    - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n    - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n    - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n    - notion: Notion API + ntn CLI: pages, databases, markdown, Workers.\n    - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n    - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n    - teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...\n  red-teaming:\n    - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n  research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n    - arxiv: Search arXiv papers by keyword, author, category, or ID.\n    - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n    - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n    - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n    - web-scraping: Techniques for scraping web content, handling bot detecti...\n  smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n    - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n  social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n    - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n  software-development:\n    - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n    - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n    - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n    - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n    - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n    - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n    - spike: Throwaway experiments to validate an idea before build.\n    - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n    - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n    - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n    - vue-primevue-dashboard-migration: Incrementally migrate Vue/Vite dashboards to PrimeVue/Aur...\n    - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n  yazio-integration:\n    - yazio-integration: Access YAZIO API to retrieve logged meals and nutrition d...\n  yuanbao:\n    - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n</available_skills>\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nHost: Linux (6.17.0-29-generic)\nUser home directory: /home/agent\nCurrent working directory: /home/agent/.hermes/hermes-agent\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format ![alt](url) and they will be sent as native photos.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# GLOBALE ORCHESTRIERUNGS-REGELN\n\n## 1. Rolle\nDu bist JARVIS, der Chef-Architekt und Orchestrator. Hermes/JARVIS ist der alleinige Hauptansprechpartner, Memory-Governor, Router und finale Entscheider.\n\n## 2. Ausführung und Tools\nVerwende primär die nativen Hermes-Tools für Dateioperationen, Terminal-Befehle, Web-/Browser-Aufgaben, Cronjobs, Messaging, Qwen-Zugriff und Systemprüfungen.\n\nOpenClaw/FRIDAY ist nicht mehr Standard-Executor. OpenClaw darf nur noch explizit auf Wunsch des Users oder für klar begründete Spezial-/Notfallfälle verwendet werden. Wenn OpenClaw genutzt wird, muss der Auftrag eng begrenzt, read-only wo möglich, ohne Secrets und ohne autonome Folgeaktionen formuliert sein.\n\n## 3. Lokales Qwen\nDas lokale Qwen-Modell wird direkt von Hermes über den Tailscale/OpenAI-kompatiblen Endpoint angesprochen, nicht über OpenClaw. Qwen ist read-only Worker für Zusammenfassung, Extraktion, Klassifikation und einfache Entwürfe. Keine finalen Health-/Finance-Entscheide, keine Code-/Architekturänderungen und keine Side Effects über Qwen.\n\n## 4. Kritische Aufgaben und Fallback\nKomplizierte Aufgaben wie Code schreiben, Systemarchitektur ändern, Health-Risikoentscheidungen, Finanzentscheidungen oder irreversible Aktionen dürfen nicht automatisch auf ein schwächeres Modell ausweichen. Bei GPT-5.5 Rate-Limit oder Ausfall: pausieren und Sir fragen.\n\n## 5. Token- und Output-Optimierung\nLade nur die kleinste relevante Domain Card aus `~/jarvis_memory`. Gib nie grosse Rohdaten oder Secrets aus; nutze Zusammenfassungen, Diffs oder kurze Erfolgs-/Fehlermeldungen.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [99% — 2,191/2,200 chars]\n══════════════════════════════════════════════\n*Wichtige Erinnerungen, Entscheidungen und Präferenzen.*\n§\n---\n§\nÜber mich: **Persönlichkeit:** Britischer Gentleman, sachlich, präzise, trockener Sarkasmus\n§\nÜber mich: **Sprache:** Deutsch mit englischen Fachbegriffen\n§\nTTS-Stimme: de-DE-KillianNeural (deutsche männliche Stimme, aktuell aktiv)\n§\nModelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\n§\nModellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\n§\nOpenClaw/FRIDAY: nicht Standard-Executor; Gateway/Telegram deaktiviert; nur explizit/manuell nutzen.\n§\nHealth backups: encrypted weekly Google Drive, GitHub only code/docs. Morning briefing cron `847bdbc26edf` runs 05:00 via `morning_briefing.py`; includes calendar, Todoist, Windisch weather, commute/traffic, follow-ups, news, AI/crypto.\n§\nAPI-Keys / Credentials: **Todoist API-Token:** Gespeichert in `~/.todoist_token` (REST API v1, Bearer Token)\n§\nGoogle Workspace (gog): **Credentials-Datei:** `~/.hermes/google_credentials.json`\n§\nGoogle Workspace (gog): **gog-Credentials gespeichert unter:** `~/.config/gogcli/credentials.json`\n§\nGoogle Workspace (gog): **OAuth-Account:** friday.uplink@gmail.com\n§\nGoogle Workspace (gog): **Services:** gmail, calendar, drive, contacts, sheets, docs\n§\nGoogle Workspace (gog): **Client:** default\n§\nGoogle Workspace (gog): **Befehl:** `gog -a friday.uplink@gmail.com <command>`\n§\nKalender-Zeitzonen: **System-Zeitzone:** Europe/Berlin (UTC+2 im Sommer)\n§\nKalender-Zeitzonen: **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen\n§\nKalender-Zeitzonen: **Regel:** Termine immer in Lokalzeit (Zürich) ausgeben, niemals UTC\n§\nJARVIS memory architecture: ~/jarvis_memory domain cards; skill jarvis-routing-policy.\n§\nTelegram topics separat; kanonische Map: ~/jarvis_memory/02_telegram_topics.md. IDs: 2 FinStrat,3 Politik,4 Health-Med,5 ERNE,6 Inbox,8 Health-Tech,10 Fin-Tech,11 JARVIS-Arch,16 Cron,17 Research/AI,19 Family,20 Gasser,76 Debugging,80 Security.\n§\nFinanceManager GitHub token CSV: `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv`; use `github_pat_`/`ghp_` cell; never quote token.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [99% — 1,371/1,375 chars]\n══════════════════════════════════════════════\n**Notes:** Mein Herr. Loyaler Partner.\n§\n**Name:** Sir\n§\n**Voice preference:** de-DE-KillianNeural (German male voice, natural/clear) — default for all TTS output\n§\n**Language:** Deutsch mit englischen Fachbegriffen\n§\nKommunikationspräferenzen: **Sprachnachricht → Antwort per Sprachnachricht**\n§\nKommunikationspräferenzen: **Textnachricht → Antwort per Text**\n§\nUser wants JARVIS to act as a comprehensive health-management advisor: consolidate lab reports, clinical reports, nutrition/YAZIO, daily health email data, symptoms and events; make insights visible via dashboards/reports; use a 4-eyes review workflow for extracted lab values before treating them as confirmed.\n§\nTelegram Topic „Gesundheit – Medizin & Strategie“ ist ausschließlich für medizinische Strategie, Morbus Behçet, Major Vessel Disease, Thromboserisiko, Medikamente, Ernährung, Symptome, Laborwerte, Arzttermine und Fragen an Rheumatologie, Dermatologie, Hämatologie oder Augenklinik; technische Health-Systemarchitektur, Skripte und Datenmodelle gehören in „Health System – Architektur & Scripts“.\n§\nFinance: no real amounts/IDs/API keys in chat; credentials via terminal/runtime files; no DB/CSV/keys/reports in Git/frontend; backups+audit; Preview→Confirm→Audit; no fake prices/buttons; OpenFIGI never show/store; never auto-book. Grocery: mappings learned; provider calls explicit/cache-first.\n\nConversation started: Friday, May 22, 2026 11:01 PM\nModel: gpt-5.5\nProvider: openai-codex",
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "browser_back",
        "description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {}
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_click",
        "description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "ref": {
              "type": "string",
              "description": "The element reference from the snapshot (e.g., '@e5', '@e12')"
            }
          },
          "required": [
            "ref"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_console",
        "description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.",
        "parameters": {
          "type": "object",
          "properties": {
            "clear": {
              "type": "boolean",
              "default": false,
              "description": "If true, clear the message buffers after reading"
            },
            "expression": {
              "type": "string",
              "description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'"
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_get_images",
        "description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {}
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_navigate",
        "description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.",
        "parameters": {
          "type": "object",
          "properties": {
            "url": {
              "type": "string",
              "description": "The URL to navigate to (e.g., 'https://example.com')"
            }
          },
          "required": [
            "url"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_press",
        "description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "key": {
              "type": "string",
              "description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')"
            }
          },
          "required": [
            "key"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_scroll",
        "description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "direction": {
              "type": "string",
              "enum": [
                "up",
                "down"
              ],
              "description": "Direction to scroll"
            }
          },
          "required": [
            "direction"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_snapshot",
        "description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.",
        "parameters": {
          "type": "object",
          "properties": {
            "full": {
              "type": "boolean",
              "description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.",
              "default": false
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_type",
        "description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "ref": {
              "type": "string",
              "description": "The element reference from the snapshot (e.g., '@e3')"
            },
            "text": {
              "type": "string",
              "description": "The text to type into the field"
            }
          },
          "required": [
            "ref",
            "text"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_vision",
        "description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA:<screenshot_path> in your response. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "question": {
              "type": "string",
              "description": "What you want to know about the page visually. Be specific about what you're looking for."
            },
            "annotate": {
              "type": "boolean",
              "default": false,
              "description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout."
            }
          },
          "required": [
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "clarify",
        "description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.",
        "parameters": {
          "type": "object",
          "properties": {
            "question": {
              "type": "string",
              "description": "The question to present to the user."
            },
            "choices": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "maxItems": 4,
              "description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option."
            }
          },
          "required": [
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "cronjob",
        "description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "description": "One of: create, list, update, pause, resume, remove, run"
            },
            "job_id": {
              "type": "string",
              "description": "Required for update/pause/resume/remove/run"
            },
            "prompt": {
              "type": "string",
              "description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills."
            },
            "schedule": {
              "type": "string",
              "description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp"
            },
            "name": {
              "type": "string",
              "description": "Optional human-friendly name"
            },
            "repeat": {
              "type": "integer",
              "description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)."
            },
            "deliver": {
              "type": "string",
              "description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected."
            },
            "skills": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills."
            },
            "model": {
              "type": "object",
              "description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.",
              "properties": {
                "provider": {
                  "type": "string",
                  "description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:<name>' for a provider defined in custom_providers config — always include the ':<name>' suffix, never pass the bare 'custom'). Omit to use and pin the current provider."
                },
                "model": {
                  "type": "string",
                  "description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')"
                }
              },
              "required": [
                "model"
              ]
            },
            "script": {
              "type": "string",
              "description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear."
            },
            "no_agent": {
              "type": "boolean",
              "default": false,
              "description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content."
            },
            "context_from": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear."
            },
            "enabled_toolsets": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear."
            },
            "workdir": {
              "type": "string",
              "description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated."
            }
          },
          "required": [
            "action"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "delegate_task",
        "description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.",
        "parameters": {
          "type": "object",
          "properties": {
            "goal": {
              "type": "string",
              "description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history."
            },
            "context": {
              "type": "string",
              "description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs."
            },
            "toolsets": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks."
            },
            "tasks": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "goal": {
                    "type": "string",
                    "description": "Task goal"
                  },
                  "context": {
                    "type": "string",
                    "description": "Task-specific context"
                  },
                  "toolsets": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    },
                    "description": "Toolsets for this specific task. Available: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction."
                  },
                  "acp_command": {
                    "type": "string",
                    "description": "Per-task ACP command override (e.g. 'copilot'). Overrides the top-level acp_command for this task only. Do NOT set unless the user explicitly told you an ACP CLI is installed."
                  },
                  "acp_args": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    },
                    "description": "Per-task ACP args override. Leave empty unless acp_command is set."
                  },
                  "role": {
                    "type": "string",
                    "enum": [
                      "leaf",
                      "orchestrator"
                    ],
                    "description": "Per-task role override. See top-level 'role' for semantics."
                  }
                },
                "required": [
                  "goal"
                ]
              },
              "description": "Batch mode: tasks to run in parallel (up to 3 for this user, set via delegation.max_concurrent_children). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored."
            },
            "role": {
              "type": "string",
              "enum": [
                "leaf",
                "orchestrator"
              ],
              "description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Nesting is OFF for this user (max_spawn_depth=1); 'orchestrator' is silently forced to 'leaf'. Raise delegation.max_spawn_depth in config.yaml to enable."
            },
            "acp_command": {
              "type": "string",
              "description": "Override ACP command for child agents (e.g. 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Requires an ACP-compatible CLI (currently GitHub Copilot CLI via 'copilot --acp --stdio'). See agent/copilot_acp_client.py for the implementation. IMPORTANT: Do NOT set this unless the user has explicitly told you a specific ACP-compatible CLI is installed and configured. Leave empty to use the parent's default transport (Hermes subagents)."
            },
            "acp_args": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Leave empty unless acp_command is explicitly provided."
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "execute_code",
        "description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n  read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n    Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n  write_file(path: str, content: str) -> dict\n    Always overwrites the entire file.\n  search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n    target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n  patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n    Replaces old_string with new_string in the file.\n  terminal(command: str, timeout=None, workdir=None) -> dict\n    Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n  json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n  shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n  retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures",
        "parameters": {
          "type": "object",
          "properties": {
            "code": {
              "type": "string",
              "description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout."
            }
          },
          "required": [
            "code"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "feishu_doc_read",
        "description": "Read the full content of a Feishu/Lark document as plain text. Useful when you need more context beyond the quoted text in a comment.",
        "parameters": {
          "type": "object",
          "properties": {
            "doc_token": {
              "type": "string",
              "description": "The document token (from the document URL or comment context)."
            }
          },
          "required": [
            "doc_token"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "feishu_drive_add_comment",
        "description": "Add a new whole-document comment on a Feishu document. Use this for whole-document comments or as a fallback when reply_comment fails with code 1069302.",
        "parameters": {
          "type": "object",
          "properties": {
            "file_token": {
              "type": "string",
              "description": "The document file token."
            },
            "content": {
              "type": "string",
              "description": "The comment text content (plain text only, no markdown)."
            },
            "file_type": {
              "type": "string",
              "description": "File type (default: docx).",
              "default": "docx"
            }
          },
          "required": [
            "file_token",
            "content"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "feishu_drive_list_comment_replies",
        "description": "List all replies in a comment thread on a Feishu document.",
        "parameters": {
          "type": "object",
          "properties": {
            "file_token": {
              "type": "string",
              "description": "The document file token."
            },
            "comment_id": {
              "type": "string",
              "description": "The comment ID to list replies for."
            },
            "file_type": {
              "type": "string",
              "description": "File type (default: docx).",
              "default": "docx"
            },
            "page_size": {
              "type": "integer",
              "description": "Number of replies per page (max 100).",
              "default": 100
            },
            "page_token": {
              "type": "string",
              "description": "Pagination token for next page."
            }
          },
          "required": [
            "file_token",
            "comment_id"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "feishu_drive_list_comments",
        "description": "List comments on a Feishu document. Use is_whole=true to list whole-document comments only.",
        "parameters": {
          "type": "object",
          "properties": {
            "file_token": {
              "type": "string",
              "description": "The document file token."
            },
            "file_type": {
              "type": "string",
              "description": "File type (default: docx).",
              "default": "docx"
            },
            "is_whole": {
              "type": "boolean",
              "description": "If true, only return whole-document comments.",
              "default": false
            },
            "page_size": {
              "type": "integer",
              "description": "Number of comments per page (max 100).",
              "default": 100
            },
            "page_token": {
              "type": "string",
              "description": "Pagination token for next page."
            }
          },
          "required": [
            "file_token"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "feishu_drive_reply_comment",
        "description": "Reply to a local comment thread on a Feishu document. Use this for local (quoted-text) comments. For whole-document comments, use feishu_drive_add_comment instead.",
        "parameters": {
          "type": "object",
          "properties": {
            "file_token": {
              "type": "string",
              "description": "The document file token."
            },
            "comment_id": {
              "type": "string",
              "description": "The comment ID to reply to."
            },
            "content": {
              "type": "string",
              "description": "The reply text content (plain text only, no markdown)."
            },
            "file_type": {
              "type": "string",
              "description": "File type (default: docx).",
              "default": "docx"
            }
          },
          "required": [
            "file_token",
            "comment_id",
            "content"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "image_generate",
        "description": "Generate high-quality images from text prompts. The underlying backend (FAL, OpenAI, etc.) and model are user-configured and not selectable by the agent. Returns either a URL or an absolute file path in the `image` field; display it with markdown ![description](url-or-path) and the gateway will deliver it.",
        "parameters": {
          "type": "object",
          "properties": {
            "prompt": {
              "type": "string",
              "description": "The text prompt describing the desired image. Be detailed and descriptive."
            },
            "aspect_ratio": {
              "type": "string",
              "enum": [
                "landscape",
                "square",
                "portrait"
              ],
              "description": "The aspect ratio of the generated image. 'landscape' is 16:9 wide, 'portrait' is 16:9 tall, 'square' is 1:1.",
              "default": "landscape"
            }
          },
          "required": [
            "prompt"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "memory",
        "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "add",
                "replace",
                "remove"
              ],
              "description": "The action to perform."
            },
            "target": {
              "type": "string",
              "enum": [
                "memory",
                "user"
              ],
              "description": "Which memory store: 'memory' for personal notes, 'user' for user profile."
            },
            "content": {
              "type": "string",
              "description": "The entry content. Required for 'add' and 'replace'."
            },
            "old_text": {
              "type": "string",
              "description": "Short unique substring identifying the entry to replace or remove."
            }
          },
          "required": [
            "action",
            "target"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mixture_of_agents",
        "description": "Route a hard problem through multiple frontier LLMs collaboratively. Makes 5 API calls (4 reference models + 1 aggregator) with maximum reasoning effort — use sparingly for genuinely difficult problems. Best for: complex math, advanced algorithms, multi-step analytical reasoning, problems benefiting from diverse perspectives.",
        "parameters": {
          "type": "object",
          "properties": {
            "user_prompt": {
              "type": "string",
              "description": "The complex query or problem to solve using multiple AI models. Should be a challenging problem that benefits from diverse perspectives and collaborative reasoning."
            }
          },
          "required": [
            "user_prompt"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "patch",
        "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nREPLACE MODE (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.",
        "parameters": {
          "type": "object",
          "properties": {
            "mode": {
              "type": "string",
              "enum": [
                "replace",
                "patch"
              ],
              "description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.",
              "default": "replace"
            },
            "path": {
              "type": "string",
              "description": "REQUIRED when mode='replace'. File path to edit."
            },
            "old_string": {
              "type": "string",
              "description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness."
            },
            "new_string": {
              "type": "string",
              "description": "REQUIRED when mode='replace'. Replacement text. Pass empty string '' to delete the matched text."
            },
            "replace_all": {
              "type": "boolean",
              "description": "Replace all occurrences instead of requiring a unique match (default: false)",
              "default": false
            },
            "patch": {
              "type": "string",
              "description": "REQUIRED when mode='patch'. V4A format patch content. Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch"
            }
          },
          "required": [
            "mode"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "process",
        "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "list",
                "poll",
                "log",
                "wait",
                "kill",
                "write",
                "submit",
                "close"
              ],
              "description": "Action to perform on background processes"
            },
            "session_id": {
              "type": "string",
              "description": "Process session ID (from terminal background output). Required for all actions except 'list'."
            },
            "data": {
              "type": "string",
              "description": "Text to send to process stdin (for 'write' and 'submit' actions)"
            },
            "timeout": {
              "type": "integer",
              "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.",
              "minimum": 1
            },
            "offset": {
              "type": "integer",
              "description": "Line offset for 'log' action (default: last 200 lines)"
            },
            "limit": {
              "type": "integer",
              "description": "Max lines to return for 'log' action",
              "minimum": 1
            }
          },
          "required": [
            "action"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "read_file",
        "description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.",
        "parameters": {
          "type": "object",
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to read (absolute, relative, or ~/path)"
            },
            "offset": {
              "type": "integer",
              "description": "Line number to start reading from (1-indexed, default: 1)",
              "default": 1,
              "minimum": 1
            },
            "limit": {
              "type": "integer",
              "description": "Maximum number of lines to read (default: 500, max: 2000)",
              "default": 500,
              "maximum": 2000
            }
          },
          "required": [
            "path"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "search_files",
        "description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.",
        "parameters": {
          "type": "object",
          "properties": {
            "pattern": {
              "type": "string",
              "description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search"
            },
            "target": {
              "type": "string",
              "enum": [
                "content",
                "files"
              ],
              "description": "'content' searches inside file contents, 'files' searches for files by name",
              "default": "content"
            },
            "path": {
              "type": "string",
              "description": "Directory or file to search in (default: current working directory)",
              "default": "."
            },
            "file_glob": {
              "type": "string",
              "description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)"
            },
            "limit": {
              "type": "integer",
              "description": "Maximum number of results to return (default: 50)",
              "default": 50
            },
            "offset": {
              "type": "integer",
              "description": "Skip first N results for pagination (default: 0)",
              "default": 0
            },
            "output_mode": {
              "type": "string",
              "enum": [
                "content",
                "files_only",
                "count"
              ],
              "description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file",
              "default": "content"
            },
            "context": {
              "type": "integer",
              "description": "Number of context lines before and after each match (grep mode only)",
              "default": 0
            }
          },
          "required": [
            "pattern"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "send_message",
        "description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "send",
                "list"
              ],
              "description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms."
            },
            "target": {
              "type": "string",
              "description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:<account_id>' (DM), 'yuanbao:group:<group_code>' (group chat)"
            },
            "message": {
              "type": "string",
              "description": "The message text to send. To send an image or file, include MEDIA:<local_path> (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment."
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "session_search",
        "description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.",
        "parameters": {
          "type": "object",
          "properties": {
            "query": {
              "type": "string",
              "description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)."
            },
            "role_filter": {
              "type": "string",
              "description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs."
            },
            "limit": {
              "type": "integer",
              "description": "Max sessions to summarize (default: 3, max: 5).",
              "default": 3
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skill_manage",
        "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=<umbrella>` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin <name>`. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "create",
                "patch",
                "edit",
                "delete",
                "write_file",
                "remove_file"
              ],
              "description": "The action to perform."
            },
            "name": {
              "type": "string",
              "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file."
            },
            "content": {
              "type": "string",
              "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text."
            },
            "old_string": {
              "type": "string",
              "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness."
            },
            "new_string": {
              "type": "string",
              "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text."
            },
            "replace_all": {
              "type": "boolean",
              "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
            },
            "category": {
              "type": "string",
              "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'."
            },
            "file_path": {
              "type": "string",
              "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted."
            },
            "file_content": {
              "type": "string",
              "description": "Content for the file. Required for 'write_file'."
            },
            "absorbed_into": {
              "type": "string",
              "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent."
            }
          },
          "required": [
            "action",
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skill_view",
        "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.",
        "parameters": {
          "type": "object",
          "properties": {
            "name": {
              "type": "string",
              "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')."
            },
            "file_path": {
              "type": "string",
              "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content."
            }
          },
          "required": [
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skills_list",
        "description": "List available skills (name + description). Use skill_view(name) to load full content.",
        "parameters": {
          "type": "object",
          "properties": {
            "category": {
              "type": "string",
              "description": "Optional category filter to narrow results"
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "terminal",
        "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n  (1) Long-lived processes that never exit (servers, watchers).\n  (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n",
        "parameters": {
          "type": "object",
          "properties": {
            "command": {
              "type": "string",
              "description": "The command to execute on the VM"
            },
            "background": {
              "type": "boolean",
              "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.",
              "default": false
            },
            "timeout": {
              "type": "integer",
              "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.",
              "minimum": 1
            },
            "workdir": {
              "type": "string",
              "description": "Working directory for this command (absolute path). Defaults to the session working directory."
            },
            "pty": {
              "type": "boolean",
              "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.",
              "default": false
            },
            "notify_on_complete": {
              "type": "boolean",
              "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.",
              "default": false
            },
            "watch_patterns": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both."
            }
          },
          "required": [
            "command"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "text_to_speech",
        "description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.<name>), not model-selected.",
        "parameters": {
          "type": "object",
          "properties": {
            "text": {
              "type": "string",
              "description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated."
            },
            "output_path": {
              "type": "string",
              "description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/<timestamp>.mp3"
            }
          },
          "required": [
            "text"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "todo",
        "description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.",
        "parameters": {
          "type": "object",
          "properties": {
            "todos": {
              "type": "array",
              "description": "Task items to write. Omit to read current list.",
              "items": {
                "type": "object",
                "properties": {
                  "id": {
                    "type": "string",
                    "description": "Unique item identifier"
                  },
                  "content": {
                    "type": "string",
                    "description": "Task description"
                  },
                  "status": {
                    "type": "string",
                    "enum": [
                      "pending",
                      "in_progress",
                      "completed",
                      "cancelled"
                    ],
                    "description": "Current status"
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                ]
              }
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              "description": "true: update existing items by id, add new ones. false (default): replace the entire list.",
              "default": false
            }
          }
        }
      }
    },
    {
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      "function": {
        "name": "video_analyze",
        "description": "Analyze a video from a URL or local file path using a multimodal AI model. Sends the video to a video-capable model (e.g. Gemini) for understanding. Use this for video files — for images, use vision_analyze instead. Supports mp4, webm, mov, avi, mkv, mpeg formats. Note: large videos (>20 MB) may be slow; max ~50 MB.",
        "parameters": {
          "type": "object",
          "properties": {
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              "type": "string",
              "description": "Video URL (http/https) or local file path to analyze."
            },
            "question": {
              "type": "string",
              "description": "Your specific question about the video. The AI will describe what happens in the video and answer your question."
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        "description": "Load an image into the conversation so you can see it. Accepts a URL, local file path, or data URL. When your active model has native vision, the image is attached to your context directly and you read the pixels yourself on the next turn — call this any time the user references an image (filepath in their message, URL in tool output, screenshot from the browser, etc.). For non-vision models, falls back to an auxiliary vision model that returns a text description.",
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              "description": "Image URL (http/https), local file path, or data: URL to load."
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            "question": {
              "type": "string",
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        "parameters": {
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            "path": {
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              "description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)"
            },
            "content": {
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            }
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      "role": "user",
      "content": "[M G] Bitte antworte nur in diesem Topic.\n\nDieses Topic heisst: AutoShortsBot\n\nNutze diesen Thread für die ausarbeitung und weiterentwicklung unseres Projektes zur automatischen erstellung von Social-Media-Shorts.\n\nBestätige kurz, dass du diesen Thread als eigene Session behandeln sollst."
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            "arguments": "{\"action\":\"add\",\"target\":\"memory\",\"content\":\"Telegram thread 4850 is the AutoShortsBot project topic for the automatic creation of social-media shorts; answer only in that topic for this project.\"}"
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      "content": "{\"success\": false, \"error\": \"Memory at 2,191/2,200 chars. Adding this entry (150 chars) would exceed the limit. Replace or remove existing entries first.\", \"current_entries\": [\"*Wichtige Erinnerungen, Entscheidungen und Präferenzen.*\", \"---\", \"Über mich: **Persönlichkeit:** Britischer Gentleman, sachlich, präzise, trockener Sarkasmus\", \"Über mich: **Sprache:** Deutsch mit englischen Fachbegriffen\", \"TTS-Stimme: de-DE-KillianNeural (deutsche männliche Stimme, aktuell aktiv)\", \"Modelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\", \"Modellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\", \"OpenClaw/FRIDAY: nicht Standard-Executor; Gateway/Telegram deaktiviert; nur explizit/manuell nutzen.\", \"Health backups: encrypted weekly Google Drive, GitHub only code/docs. Morning briefing cron `847bdbc26edf` runs 05:00 via `morning_briefing.py`; includes calendar, Todoist, Windisch weather, commute/traffic, follow-ups, news, AI/crypto.\", \"API-Keys / Credentials: **Todoist API-Token:** Gespeichert in `~/.todoist_token` (REST API v1, Bearer Token)\", \"Google Workspace (gog): **Credentials-Datei:** `~/.hermes/google_credentials.json`\", \"Google Workspace (gog): **gog-Credentials gespeichert unter:** `~/.config/gogcli/credentials.json`\", \"Google Workspace (gog): **OAuth-Account:** friday.uplink@gmail.com\", \"Google Workspace (gog): **Services:** gmail, calendar, drive, contacts, sheets, docs\", \"Google Workspace (gog): **Client:** default\", \"Google Workspace (gog): **Befehl:** `gog -a friday.uplink@gmail.com <command>`\", \"Kalender-Zeitzonen: **System-Zeitzone:** Europe/Berlin (UTC+2 im Sommer)\", \"Kalender-Zeitzonen: **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen\", \"Kalender-Zeitzonen: **Regel:** Termine immer in Lokalzeit (Zürich) ausgeben, niemals UTC\", \"JARVIS memory architecture: ~/jarvis_memory domain cards; skill jarvis-routing-policy.\", \"Telegram topics separat; kanonische Map: ~/jarvis_memory/02_telegram_topics.md. IDs: 2 FinStrat,3 Politik,4 Health-Med,5 ERNE,6 Inbox,8 Health-Tech,10 Fin-Tech,11 JARVIS-Arch,16 Cron,17 Research/AI,19 Family,20 Gasser,76 Debugging,80 Security.\", \"FinanceManager GitHub token CSV: `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv`; use `github_pat_`/`ghp_` cell; never quote token.\"], \"usage\": \"2,191/2,200\"}",
      "tool_call_id": "call_pQrsB9GFZrbzkVtRJEoEIu3w"
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    {
      "role": "assistant",
      "content": "Bestätigt, Sir.\n\nIch behandle dieses Topic **AutoShortsBot** ab jetzt als eigene Projekt-Session für die Ausarbeitung und Weiterentwicklung unseres Systems zur automatischen Erstellung von Social-Media-Shorts.\n\nIch antworte dazu **nur in diesem Thread**.",
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              "text": "Bestätigt, Sir.\n\nIch behandle dieses Topic **AutoShortsBot** ab jetzt als eigene Projekt-Session für die Ausarbeitung und Weiterentwicklung unseres Systems zur automatischen Erstellung von Social-Media-Shorts.\n\nIch antworte dazu **nur in diesem Thread**."
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          "phase": "final_answer"
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    {
      "role": "user",
      "content": "[M G] Zuerst einige infos: du findest den finegraind token für github auf Google Drive für dieses Repo: https://github.com/Gamexgit/AutoShortsBot    .  Der token liegt in der datei: Github_AutoShortsBot_Token.  . Das repo ist noch leer. Speichere da zukünftig den code für unser AutoShortsBot projekt."
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      "content": "{\"success\": true, \"name\": \"jarvis-routing-policy\", \"description\": \"Routing policy for JARVIS/Hermes memory domains, model selection, safety boundaries, finance/health handling, Qwen read-only extraction, and fallback decisions.\", \"tags\": [], \"related_skills\": [], \"content\": \"---\\nname: jarvis-routing-policy\\ndescription: Routing policy for JARVIS/Hermes memory domains, model selection, safety boundaries, finance/health handling, Qwen read-only extraction, and fallback decisions.\\nversion: 1.0.0\\n---\\n\\n# JARVIS Routing Policy\\n\\n## Domain detection\\n- Classify each request into one or more domains before loading memory: core, agent-system, health, medications, labs, politics-windisch, business, ERNE, Gasser Bauunternehmen, personal-ops, French, Spanish, finance, market-data, sport, decisions.\\n- Load the smallest relevant card set from `~/jarvis_memory`.\\n- For mixed tasks, load overview card first, then the specific sub-card only if needed.\\n\\n## Token budgets\\n- Default: concise answer, no unnecessary memory loading.\\n- Small task: load 0-2 domain cards.\\n- Medium task: load up to 4 cards and summarize evidence.\\n- Large/risky task: create a plan, use subagents if useful, and verify with local evidence.\\n- Never paste full secrets, full auth files, or large private documents into context.\\n\\n## Memory write rules\\n- Write stable facts, confirmed decisions, durable operating rules, and source pointers.\\n- Use `~/jarvis_memory/90_decisions_log.md` for important decisions.\\n- Use dedicated domain cards for durable operating maps that exceed persistent-memory limits; for Telegram topic routing, use `~/jarvis_memory/02_telegram_topics.md`.\\n- Do not store tokens, passwords, API keys, wallet seeds, recovery phrases, private keys, or unnecessary raw medical/business records.\\n- Prefer concise structured updates: date, fact/decision, source, uncertainty.\\n\\n## Telegram topic routing\\n- Treat Telegram topics as separate sessions when the gateway exposes them as `chat_id:thread_id` targets.\\n- For JARVIS Command Center routing decisions, load the smallest relevant card, especially `~/jarvis_memory/02_telegram_topics.md`, instead of relying on long chat history.\\n- If a request appears in the wrong topic, recommend the correct topic briefly; if Sir explicitly asks to answer in the correct topic, send the substantive response to that topic and leave only a short handoff note in the original topic.\\n- For cron or automation delivery, prefer explicit Telegram targets such as `telegram:-1003907117629:16` rather than bare `telegram`, unless Sir asks for DM/home delivery.\\n- Use per-topic `channel_prompts` in `~/.hermes/config.yaml` for lightweight routing reinforcement, and restart the gateway before expecting changed prompts to affect new Telegram sessions.\\n\\n## Qwen read-only use\\n- Local Qwen endpoint: Tailscale/OpenAI-compatible port `11435`, model alias `qwen-3.6-agent`.\\n- Verified endpoint details and probe commands live in `references/qwen-local-worker.md`.\\n- Direct Hermes helper: `~/.hermes/scripts/qwen_readonly.py` (`probe`, `summarize`, `extract`, `classify`, `draft`).\\n- Qwen is read-only for extraction, summarization, classification, and non-sensitive drafting support.\\n- Do not route Qwen via OpenClaw by default; Hermes can call the OpenAI-compatible endpoint directly.\\n- Do not let Qwen perform writes, irreversible changes, external sends, finance decisions, health-risk decisions, or code/system architecture changes without stronger model/user approval.\\n\\n## OpenClaw / FRIDAY role\\n- OpenClaw is no longer the default executor for JARVIS/Hermes.\\n- Use native Hermes tools first for files, terminal, web, browser, cron, messaging, and system operations.\\n- OpenClaw Gateway is intentionally disabled; OpenClaw Telegram is disabled; OpenClaw config should stay loopback-only if restarted manually.\\n- OpenClaw may be used only when Sir explicitly asks for it or for a justified emergency/special case; scope instructions tightly, prefer read-only, pass no secrets, and forbid autonomous follow-up actions.\\n\\n## Subagent thresholds\\n- Use subagents for long research, broad audits, multi-file inspections, or independent verification.\\n- Do not spawn subagents for sensitive finance/health material unless necessary and context is minimized.\\n- Subagents must receive sanitized, scoped instructions and no secrets.\\n\\n## Safety and side-effect rules\\n- Local reads/writes are allowed when requested and reversible.\\n- Ask before external sends, public posts, purchases, trades, medical actions, destructive actions, credential changes, or irreversible config changes.\\n- Do not print secrets. Redact auth/config/log output.\\n- Verify with file existence, tests, logs, or diffs before reporting completion.\\n\\n## Finance rules\\n- Finance covers Aktien, ETFs, Kryptowährungen, automatic analyses, Auswertungen, Kaufentscheid-Assistenz, Rebalancing Empfehlungen, and insights.\\n- Possible source: CoinMarketCap API, plus broker exports and public market data.\\n- No autonomous trades, ever.\\n- No financial advice as guarantee. Provide decision support, risks, scenarios, assumptions, and uncertainty.\\n- Final buy/sell/rebalance decisions are made only by Sir.\\n- Use current data for mutable prices and timestamp all market data.\\n\\n## Health rules\\n- Health data is strictly confidential.\\n- Load relevant health cards/DB context before health answers when applicable.\\n- For medications, anticoagulation, thrombosis/bleeding, infection, severe symptoms, or high-risk decisions: be cautious and recommend professional medical escalation when appropriate.\\n- Do not diagnose with certainty or override clinicians.\\n\\n## Model fallback policy\\n- Preferred strong model for complicated tasks: GPT-5.5 or equivalent approved high-capability model.\\n- Complicated tasks include code writing, system architecture, health-risk decisions, finance decisions, and irreversible actions.\\n- If GPT-5.5 is unavailable or rate-limited for complicated tasks: pause and request Sir’s decision before continuing.\\n- Simple answers may use cheaper Codex/GPT with low or no reasoning.\\n- Qwen read-only is allowed for extraction/summarization/classification only.\\n- OpenRouter free model is last resort only for non-sensitive, non-critical drafts/summaries, and only when Sir reactivates a valid API key.\\n- Never continue critical architecture or code changes on a worse model without explicit approval.\\n\", \"path\": \"jarvis-routing-policy/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/jarvis-routing-policy\", \"linked_files\": {\"references\": [\"references/qwen-local-worker.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}",
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      "content": "{\"success\": true, \"name\": \"github-repo-management\", \"description\": \"Clone/create/fork repos; manage remotes, releases.\", \"tags\": [\"GitHub\", \"Repositories\", \"Git\", \"Releases\", \"Secrets\", \"Configuration\"], \"related_skills\": [\"github-auth\", \"github-pr-workflow\", \"github-issues\"], \"content\": \"---\\nname: github-repo-management\\ndescription: \\\"Clone/create/fork repos; manage remotes, releases.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n  hermes:\\n    tags: [GitHub, Repositories, Git, Releases, Secrets, Configuration]\\n    related_skills: [github-auth, github-pr-workflow, github-issues]\\n---\\n\\n# GitHub Repository Management\\n\\nCreate, clone, fork, configure, and manage GitHub repositories. Each section shows `gh` first, then the `git` + `curl` fallback.\\n\\n## Prerequisites\\n\\n- Authenticated with GitHub (see `github-auth` skill)\\n\\n### Setup\\n\\n```bash\\nif command -v gh &>/dev/null && gh auth status &>/dev/null; then\\n  AUTH=\\\"gh\\\"\\nelse\\n  AUTH=\\\"git\\\"\\n  if [ -z \\\"$GITHUB_TOKEN\\\" ]; then\\n    if [ -f ~/.hermes/.env ] && grep -q \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env; then\\n      GITHUB_TOKEN=$(grep \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env | head -1 | cut -d= -f2 | tr -d '\\\\n\\\\r')\\n    elif grep -q \\\"github.com\\\" ~/.git-credentials 2>/dev/null; then\\n      GITHUB_TOKEN=$(grep \\\"github.com\\\" ~/.git-credentials 2>/dev/null | head -1 | sed 's|https://[^:]*:\\\\([^@]*\\\\)@.*|\\\\1|')\\n    fi\\n  fi\\nfi\\n\\n# Get your GitHub username (needed for several operations)\\nif [ \\\"$AUTH\\\" = \\\"gh\\\" ]; then\\n  GH_USER=$(gh api user --jq '.login')\\nelse\\n  GH_USER=$(curl -s -H \\\"Authorization: token $GITHUB_TOKEN\\\" https://api.github.com/user | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['login'])\\\")\\nfi\\n```\\n\\nIf you're inside a repo already:\\n\\n```bash\\nREMOTE_URL=$(git remote get-url origin)\\nOWNER_REPO=$(echo \\\"$REMOTE_URL\\\" | sed -E 's|.*github\\\\.com[:/]||; s|\\\\.git$||')\\nOWNER=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f1)\\nREPO=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f2)\\n```\\n\\n---\\n\\n## 1. Cloning Repositories\\n\\nCloning is pure `git` — works identically either way:\\n\\n```bash\\n# Clone via HTTPS (works with credential helper or token-embedded URL)\\ngit clone https://github.com/owner/repo-name.git\\n\\n# Clone into a specific directory\\ngit clone https://github.com/owner/repo-name.git ./my-local-dir\\n\\n# Shallow clone (faster for large repos)\\ngit clone --depth 1 https://github.com/owner/repo-name.git\\n\\n# Clone a specific branch\\ngit clone --branch develop https://github.com/owner/repo-name.git\\n\\n# Clone via SSH (if SSH is configured)\\ngit clone git@github.com:owner/repo-name.git\\n```\\n\\n**With gh (shorthand):**\\n\\n```bash\\ngh repo clone owner/repo-name\\ngh repo clone owner/repo-name -- --depth 1\\n```\\n\\n## 2. Creating Repositories\\n\\n**With gh:**\\n\\n```bash\\n# Create a public repo and clone it\\ngh repo create my-new-project --public --clone\\n\\n# Private, with description and license\\ngh repo create my-new-project --private --description \\\"A useful tool\\\" --license MIT --clone\\n\\n# Under an organization\\ngh repo create my-org/my-new-project --public --clone\\n\\n# From existing local directory\\ncd /path/to/existing/project\\ngh repo create my-project --source . --public --push\\n```\\n\\n**With git + curl:**\\n\\n```bash\\n# Create the remote repo via API\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/user/repos \\\\\\n  -d '{\\n    \\\"name\\\": \\\"my-new-project\\\",\\n    \\\"description\\\": \\\"A useful tool\\\",\\n    \\\"private\\\": false,\\n    \\\"auto_init\\\": true,\\n    \\\"license_template\\\": \\\"mit\\\"\\n  }'\\n\\n# Clone it\\ngit clone https://github.com/$GH_USER/my-new-project.git\\ncd my-new-project\\n\\n# -- OR -- push an existing local directory to the new repo\\ncd /path/to/existing/project\\ngit init\\ngit add .\\ngit commit -m \\\"Initial commit\\\"\\ngit remote add origin https://github.com/$GH_USER/my-new-project.git\\ngit push -u origin main\\n```\\n\\nTo create under an organization:\\n\\n```bash\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/orgs/my-org/repos \\\\\\n  -d '{\\\"name\\\": \\\"my-new-project\\\", \\\"private\\\": false}'\\n```\\n\\n### From a Template\\n\\n**With gh:**\\n\\n```bash\\ngh repo create my-new-app --template owner/template-repo --public --clone\\n```\\n\\n**With curl:**\\n\\n```bash\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/owner/template-repo/generate \\\\\\n  -d '{\\\"owner\\\": \\\"'\\\"$GH_USER\\\"'\\\", \\\"name\\\": \\\"my-new-app\\\", \\\"private\\\": false}'\\n```\\n\\n## 3. Forking Repositories\\n\\n**With gh:**\\n\\n```bash\\ngh repo fork owner/repo-name --clone\\n```\\n\\n**With git + curl:**\\n\\n```bash\\n# Create the fork via API\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/owner/repo-name/forks\\n\\n# Wait a moment for GitHub to create it, then clone\\nsleep 3\\ngit clone https://github.com/$GH_USER/repo-name.git\\ncd repo-name\\n\\n# Add the original repo as \\\"upstream\\\" remote\\ngit remote add upstream https://github.com/owner/repo-name.git\\n```\\n\\n### Keeping a Fork in Sync\\n\\n```bash\\n# Pure git — works everywhere\\ngit fetch upstream\\ngit checkout main\\ngit merge upstream/main\\ngit push origin main\\n```\\n\\n**With gh (shortcut):**\\n\\n```bash\\ngh repo sync $GH_USER/repo-name\\n```\\n\\n## 4. Repository Information\\n\\n**With gh:**\\n\\n```bash\\ngh repo view owner/repo-name\\ngh repo list --limit 20\\ngh search repos \\\"machine learning\\\" --language python --sort stars\\n```\\n\\n**With curl:**\\n\\n```bash\\n# View repo details\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nr = json.load(sys.stdin)\\nprint(f\\\\\\\"Name: {r['full_name']}\\\\\\\")\\nprint(f\\\\\\\"Description: {r['description']}\\\\\\\")\\nprint(f\\\\\\\"Stars: {r['stargazers_count']}  Forks: {r['forks_count']}\\\\\\\")\\nprint(f\\\\\\\"Default branch: {r['default_branch']}\\\\\\\")\\nprint(f\\\\\\\"Language: {r['language']}\\\\\\\")\\\"\\n\\n# List your repos\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  \\\"https://api.github.com/user/repos?per_page=20&sort=updated\\\" \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nfor r in json.load(sys.stdin):\\n    vis = 'private' if r['private'] else 'public'\\n    print(f\\\\\\\"  {r['full_name']:40}  {vis:8}  {r.get('language', ''):10}  ★{r['stargazers_count']}\\\\\\\")\\\"\\n\\n# Search repos\\ncurl -s \\\\\\n  \\\"https://api.github.com/search/repositories?q=machine+learning+language:python&sort=stars&per_page=10\\\" \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nfor r in json.load(sys.stdin)['items']:\\n    print(f\\\\\\\"  {r['full_name']:40}  ★{r['stargazers_count']:6}  {r['description'][:60] if r['description'] else ''}\\\\\\\")\\\"\\n```\\n\\n## 5. Repository Settings\\n\\n**With gh:**\\n\\n```bash\\ngh repo edit --description \\\"Updated description\\\" --visibility public\\ngh repo edit --enable-wiki=false --enable-issues=true\\ngh repo edit --default-branch main\\ngh repo edit --add-topic \\\"machine-learning,python\\\"\\ngh repo edit --enable-auto-merge\\n```\\n\\n**With curl:**\\n\\n```bash\\ncurl -s -X PATCH \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO \\\\\\n  -d '{\\n    \\\"description\\\": \\\"Updated description\\\",\\n    \\\"has_wiki\\\": false,\\n    \\\"has_issues\\\": true,\\n    \\\"allow_auto_merge\\\": true\\n  }'\\n\\n# Update topics\\ncurl -s -X PUT \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  -H \\\"Accept: application/vnd.github.mercy-preview+json\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/topics \\\\\\n  -d '{\\\"names\\\": [\\\"machine-learning\\\", \\\"python\\\", \\\"automation\\\"]}'\\n```\\n\\n## 6. Branch Protection\\n\\n```bash\\n# View current protection\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/branches/main/protection\\n\\n# Set up branch protection\\ncurl -s -X PUT \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/branches/main/protection \\\\\\n  -d '{\\n    \\\"required_status_checks\\\": {\\n      \\\"strict\\\": true,\\n      \\\"contexts\\\": [\\\"ci/test\\\", \\\"ci/lint\\\"]\\n    },\\n    \\\"enforce_admins\\\": false,\\n    \\\"required_pull_request_reviews\\\": {\\n      \\\"required_approving_review_count\\\": 1\\n    },\\n    \\\"restrictions\\\": null\\n  }'\\n```\\n\\n## 7. Secrets Management (GitHub Actions)\\n\\n**With gh:**\\n\\n```bash\\ngh secret set API_KEY --body \\\"your-secret-value\\\"\\ngh secret set SSH_KEY < ~/.ssh/id_rsa\\ngh secret list\\ngh secret delete API_KEY\\n```\\n\\n**With curl:**\\n\\nSecrets require encryption with the repo's public key — more involved via API:\\n\\n```bash\\n# Get the repo's public key for encrypting secrets\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/secrets/public-key\\n\\n# Encrypt and set (requires Python with PyNaCl)\\npython3 -c \\\"\\nfrom base64 import b64encode\\nfrom nacl import encoding, public\\nimport json, sys\\n\\n# Get the public key\\nkey_id = '<key_id_from_above>'\\npublic_key = '<base64_key_from_above>'\\n\\n# Encrypt\\nsealed = public.SealedBox(\\n    public.PublicKey(public_key.encode('utf-8'), encoding.Base64Encoder)\\n).encrypt('your-secret-value'.encode('utf-8'))\\nprint(json.dumps({\\n    'encrypted_value': b64encode(sealed).decode('utf-8'),\\n    'key_id': key_id\\n}))\\\"\\n\\n# Then PUT the encrypted secret\\ncurl -s -X PUT \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/secrets/API_KEY \\\\\\n  -d '<output from python script above>'\\n\\n# List secrets (names only, values hidden)\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/secrets \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nfor s in json.load(sys.stdin)['secrets']:\\n    print(f\\\\\\\"  {s['name']:30}  updated: {s['updated_at']}\\\\\\\")\\\"\\n```\\n\\nNote: For secrets, `gh secret set` is dramatically simpler. If setting secrets is needed and `gh` isn't available, recommend installing it for just that operation.\\n\\n## 8. Releases\\n\\n**With gh:**\\n\\n```bash\\ngh release create v1.0.0 --title \\\"v1.0.0\\\" --generate-notes\\ngh release create v2.0.0-rc1 --draft --prerelease --generate-notes\\ngh release create v1.0.0 ./dist/binary --title \\\"v1.0.0\\\" --notes \\\"Release notes\\\"\\ngh release list\\ngh release download v1.0.0 --dir ./downloads\\n```\\n\\n**With curl:**\\n\\n```bash\\n# Create a release\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/releases \\\\\\n  -d '{\\n    \\\"tag_name\\\": \\\"v1.0.0\\\",\\n    \\\"name\\\": \\\"v1.0.0\\\",\\n    \\\"body\\\": \\\"## Changelog\\\\n- Feature A\\\\n- Bug fix B\\\",\\n    \\\"draft\\\": false,\\n    \\\"prerelease\\\": false,\\n    \\\"generate_release_notes\\\": true\\n  }'\\n\\n# List releases\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/releases \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nfor r in json.load(sys.stdin):\\n    tag = r.get('tag_name', 'no tag')\\n    print(f\\\\\\\"  {tag:15}  {r['name']:30}  {'draft' if r['draft'] else 'published'}\\\\\\\")\\\"\\n\\n# Upload a release asset (binary file)\\nRELEASE_ID=<id_from_create_response>\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  -H \\\"Content-Type: application/octet-stream\\\" \\\\\\n  \\\"https://uploads.github.com/repos/$OWNER/$REPO/releases/$RELEASE_ID/assets?name=binary-amd64\\\" \\\\\\n  --data-binary @./dist/binary-amd64\\n```\\n\\n## 9. GitHub Actions Workflows\\n\\n**With gh:**\\n\\n```bash\\ngh workflow list\\ngh run list --limit 10\\ngh run view <RUN_ID>\\ngh run view <RUN_ID> --log-failed\\ngh run rerun <RUN_ID>\\ngh run rerun <RUN_ID> --failed\\ngh workflow run ci.yml --ref main\\ngh workflow run deploy.yml -f environment=staging\\n```\\n\\n**With curl:**\\n\\n```bash\\n# List workflows\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/workflows \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nfor w in json.load(sys.stdin)['workflows']:\\n    print(f\\\\\\\"  {w['id']:10}  {w['name']:30}  {w['state']}\\\\\\\")\\\"\\n\\n# List recent runs\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  \\\"https://api.github.com/repos/$OWNER/$REPO/actions/runs?per_page=10\\\" \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nfor r in json.load(sys.stdin)['workflow_runs']:\\n    print(f\\\\\\\"  Run {r['id']}  {r['name']:30}  {r['conclusion'] or r['status']}\\\\\\\")\\\"\\n\\n# Download failed run logs\\nRUN_ID=<run_id>\\ncurl -s -L \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/logs \\\\\\n  -o /tmp/ci-logs.zip\\ncd /tmp && unzip -o ci-logs.zip -d ci-logs\\n\\n# Re-run a failed workflow\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/rerun\\n\\n# Re-run only failed jobs\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/rerun-failed-jobs\\n\\n# Trigger a workflow manually (workflow_dispatch)\\nWORKFLOW_ID=<workflow_id_or_filename>\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/workflows/$WORKFLOW_ID/dispatches \\\\\\n  -d '{\\\"ref\\\": \\\"main\\\", \\\"inputs\\\": {\\\"environment\\\": \\\"staging\\\"}}'\\n```\\n\\n## 10. Gists\\n\\n**With gh:**\\n\\n```bash\\ngh gist create script.py --public --desc \\\"Useful script\\\"\\ngh gist list\\n```\\n\\n**With curl:**\\n\\n```bash\\n# Create a gist\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/gists \\\\\\n  -d '{\\n    \\\"description\\\": \\\"Useful script\\\",\\n    \\\"public\\\": true,\\n    \\\"files\\\": {\\n      \\\"script.py\\\": {\\\"content\\\": \\\"print(\\\\\\\"hello\\\\\\\")\\\"}\\n    }\\n  }'\\n\\n# List your gists\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/gists \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nfor g in json.load(sys.stdin):\\n    files = ', '.join(g['files'].keys())\\n    print(f\\\\\\\"  {g['id']}  {g['description'] or '(no desc)':40}  {files}\\\\\\\")\\\"\\n```\\n\\n## Linked Resources\\n\\n- `references/divergent-history-workflow.md` — Handling divergent local/remote histories safely.\\n- `references/github-api-cheatsheet.md` — Common GitHub REST API calls.\\n- `references/sensitive-code-backup.md` — Backing up code/scripts/docs to private GitHub while excluding DBs, documents, and credentials.\\n\\n## Quick Reference Table\\n\\n| Action | gh | git + curl |\\n|--------|-----|-----------|\\n| Clone | `gh repo clone o/r` | `git clone https://github.com/o/r.git` |\\n| Create repo | `gh repo create name --public` | `curl POST /user/repos` |\\n| Fork | `gh repo fork o/r --clone` | `curl POST /repos/o/r/forks` + `git clone` |\\n| Repo info | `gh repo view o/r` | `curl GET /repos/o/r` |\\n| Edit settings | `gh repo edit --...` | `curl PATCH /repos/o/r` |\\n| Create release | `gh release create v1.0` | `curl POST /repos/o/r/releases` |\\n| List workflows | `gh workflow list` | `curl GET /repos/o/r/actions/workflows` |\\n| Rerun CI | `gh run rerun ID` | `curl POST /repos/o/r/actions/runs/ID/rerun` |\\n| Set secret | `gh secret set KEY` | `curl PUT /repos/o/r/actions/secrets/KEY` (+ encryption) |\\n\", \"path\": \"github/github-repo-management/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/github/github-repo-management\", \"linked_files\": {\"references\": [\"references/sensitive-code-backup.md\", \"references/divergent-history-workflow.md\", \"references/github-api-cheatsheet.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"GitHub\", \"Repositories\", \"Git\", \"Releases\", \"Secrets\", \"Configuration\"], \"related_skills\": [\"github-auth\", \"github-pr-workflow\", \"github-issues\"]}}}",
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      "content": "{\"content\": \"     1|# 02 Telegram Topics\\n     2|_Last updated: 2026-05-14_\\n     3|## Purpose\\n     4|Canonical topic map and routing policy for the Telegram group **JARVIS Command Center**. Use this card for topic selection, cross-topic routing, cron delivery targets, and session boundaries.\\n     5|## Load when\\n     6|- User asks about Telegram topic structure, routing, cron delivery, gateway sessions, or where a task belongs.\\n     7|- A request appears to be in the wrong topic and needs a topic-change recommendation.\\n     8|- Creating or updating cron jobs, reports, briefings, or automated notifications.\\n     9|## Stable facts\\n    10|- Telegram group: `JARVIS Command Center`, chat id `-1003907117629`.\\n    11|- Hermes sees Telegram topics as separate targets/sessions via `chat_id:thread_id`.\\n    12|- Canonical topic targets:\\n    13|  - `-1003907117629:2` — Finanzen – Fragen & Strategie.\\n    14|  - `-1003907117629:3` — Politik Windisch.\\n    15|  - `-1003907117629:4` — Gesundheit – Medizin & Strategie.\\n    16|  - `-1003907117629:5` — Geschäftliches – ERNE Holzbau.\\n    17|  - `-1003907117629:6` — Inbox / General Triage.\\n    18|  - `-1003907117629:8` — Health System – Architektur & Scripts.\\n    19|  - `-1003907117629:10` — Finance System – Architektur & Scripts.\\n    20|  - `-1003907117629:11` — JARVIS System – Architektur.\\n    21|  - `-1003907117629:16` — Automationen / Cronjobs.\\n    22|  - `-1003907117629:17` — Research & AI Nutzung.\\n    23|  - `-1003907117629:19` — Family – Wife & Kids.\\n    24|  - `-1003907117629:20` — Geschäftliches – Gasser Bauunternehmung.\\n    25|  - `-1003907117629:76` — System Logs / Debugging.\\n    26|  - `-1003907117629:80` — Security & Permissions.\\n    27|\\n    28|## Topic policies\\n    29|### Topic 2 — Finanzen – Fragen & Strategie\\n    30|Use for financial questions, budget, Vorsorge/retirement planning, taxes, insurance, investments, financial planning, and strategic financial decisions. Do not handle technical finance scripts, dashboards, or data models here; route those to Topic 10 Finance System – Architektur & Scripts.\\n    31|\\n    32|### Topic 3 — Politik Windisch\\n    33|Use for Sir’s work as Einwohnerrat in Windisch: political strategy, Vorstösse, argumentation, local topics, meetings, speeches, texts, positioning, and municipal research. Keep unrelated business/finance/system topics out.\\n    34|\\n    35|### Topic 4 — Gesundheit – Medizin & Strategie\\n    36|Use only for medical strategy and health-management topics: Morbus Behçet, Major Vessel Disease, thrombosis risk, medication, nutrition, symptoms, lab values, appointments, and questions for Rheumatologie, Dermatologie, Hämatologie, Augenklinik. Treat health data as confidential; do not make definitive diagnoses or override clinicians. Technical health-system architecture/scripts/data models go to Topic 8.\\n    37|\\n    38|### Topic 5 — Geschäftliches – ERNE Holzbau\\n    39|Use for business topics around ERNE Holzbau: strategy, organisation, processes, communication, optimisation, projects, management preparation, and business analyses. Keep Gasser Bauunternehmung matters in Topic 20.\\n    40|\\n    41|### Topic 6 — Inbox / General Triage\\n    42|Use for quick commands, unclassified intake, and routing. If a more suitable JARVIS Command Center topic is clear, recommend the topic switch or, if explicitly requested, answer in the correct topic via messaging. Keep replies concise unless asked.\\n    43|\\n    44|### Topic 8 — Health System – Architektur & Scripts\\n    45|Use for technical health-system implementation: architecture, scripts, data model, symptom tracking, lab-value import, reports, automations, cronjob integration, error analysis, and optimisation. Do not handle medical therapy or strategy decisions here; route those to Topic 4.\\n    46|\\n    47|### Topic 10 — Finance System – Architektur & Scripts\\n    48|Use for technical finance-system implementation: import scripts, bank data, CSV processing, data models, dashboards, reports, automations, error analysis, and optimisation. Do not handle financial strategy here; route those to Topic 2.\\n    49|\\n    50|### Topic 11 — JARVIS System – Architektur\\n    51|Use only for overall JARVIS/Hermes/FRIDAY architecture, Telegram topic structure, memory concept, model routing, subagents, OpenClaw/Codex, cost optimisation, and security/permission concepts. Do not do concrete individual script debugging here; recommend or route to a coding/system/debugging topic.\\n    52|\\n    53|### Topic 16 — Automationen / Cronjobs\\n    54|Use for scheduled jobs, briefings, recurring reports, checks, reminders, watchdogs, automation outputs, cron delivery design, and monitoring summaries. Prefer explicit cron delivery targets with this thread id when relevant.\\n    55|\\n    56|### Topic 17 — Research & AI Nutzung\\n    57|Use for research, ChatGPT/Hermes/Gemini/Codex and general AI questions, tool comparisons, prompting, model choice, papers, external sources, and general knowledge research. Keep operational automation/debugging out unless explicitly tied to tool evaluation.\\n    58|\\n    59|### Topic 19 — Family – Wife & Kids\\n    60|Use for family organisation, private planning, appointments, to-dos, ideas, daily-life matters, and topics around wife and children. Treat as especially private and restrained; do not pull content from other topics unless explicitly asked.\\n    61|\\n    62|### Topic 20 — Geschäftliches – Gasser Bauunternehmung\\n    63|Use for business topics around Gasser Bauunternehmung, where Sir is Gesellschafter: strategy, processes, communication, organisation, optimisation, construction-site/project questions, and business analyses. Keep ERNE Holzbau matters in Topic 5.\\n    64|\\n    65|### Topic 76 — System Logs / Debugging\\n    66|Use for concrete operational debugging: error logs, Python tracebacks, cron failures, import errors, and concrete script repairs. Treat as a separate session. Keep broader JARVIS/Hermes architecture in Topic 11 and recurring automation design/monitoring in Topic 16 unless the task is a specific failure or script repair.\\n    67|\\n    68|### Topic 80 — Security & Permissions\\n    69|Use for API keys and credentials concepts, access control, bot permissions, secret handling, backup/restore strategy, and admin decisions. Treat as a separate session. Do not print raw secrets; use redacted paths, concepts, checks, and minimal diffs.\\n    70|\\n    71|## Routing rules\\n    72|- Treat each topic as its own session and answer only in the active/requested topic unless the user explicitly asks for cross-topic delivery or the correct target is obvious.\\n    73|- When the user asks something in the wrong topic, prefer a short recommendation: “Besser in Topic X”. If the user asks to answer in the correct topic, send the substantive answer to that topic and keep only a short handoff note in the original topic.\\n    74|- For cron jobs, prefer explicit delivery targets (`telegram:-1003907117629:<topic_id>`) instead of bare `telegram`, unless Sir requests Home/DM delivery.\\n    75|- Keep topic-policy data durable here; do not rely on long chat history alone.\\n    76|\\n    77|## Context policy\\n    78|- Topic-purpose memory belongs in this card plus per-topic `channel_prompts`, not in long visible Telegram history.\\n    79|- `compression.protect_last_n` is currently set to `24` for better local continuity while keeping token/cost impact moderate. Do not raise above `32` unless repeated topic-local decisions are lost before being written to this card or `90_decisions_log.md`.\\n    80|\\n    81|\\n    82|\", \"total_lines\": 81, \"file_size\": 7052, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_memory/02_telegram_topics.md\\n+++ b//home/agent/jarvis_memory/02_telegram_topics.md\\n@@ -63,6 +63,9 @@\\n ### Topic 20 — Geschäftliches – Gasser Bauunternehmung\\n Use for business topics around Gasser Bauunternehmung, where Sir is Gesellschafter: strategy, processes, communication, organisation, optimisation, construction-site/project questions, and business analyses. Keep ERNE Holzbau matters in Topic 5.\\n \\n+### Topic 4850 — AutoShortsBot\\n+Use for the AutoShortsBot project: architecture, implementation, repository/code, automation pipeline, prompts, media generation, publishing workflow, and Social-Media-Shorts strategy. Treat as its own project session and answer AutoShortsBot work only in this topic unless Sir explicitly requests cross-topic delivery. Project card: `~/jarvis_memory/33_autoshortsbot.md`.\\n+\\n ### Topic 76 — System Logs / Debugging\\n Use for concrete operational debugging: error logs, Python tracebacks, cron failures, import errors, and concrete script repairs. Treat as a separate session. Keep broader JARVIS/Hermes architecture in Topic 11 and recurring automation design/monitoring in Topic 16 unless the task is a specific failure or script repair.\\n \\n\", \"files_modified\": [\"/home/agent/jarvis_memory/02_telegram_topics.md\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .md files\"}}",
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      "content": "Verstanden, Sir.\n\nIch habe es dauerhaft in der JARVIS-Projektmemory abgelegt:\n\n- **Projekt:** AutoShortsBot\n- **Repo:** `https://github.com/Gamexgit/AutoShortsBot`\n- **Status:** aktuell leer\n- **Ziel:** künftiger Code für AutoShortsBot kommt in dieses Repo\n- **GitHub Fine-grained Token:** liegt auf Google Drive in der Datei `Github_AutoShortsBot_Token`\n- **Thread:** Dieses Telegram-Topic `AutoShortsBot` wird als eigene Projekt-Session behandelt\n\nWichtig: Den Token selbst speichere oder zeige ich nicht im Chat. Ich werde ihn bei Bedarf aus Google Drive holen und nur als Runtime-Secret/Env-Var verwenden.",
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              "text": "Verstanden, Sir.\n\nIch habe es dauerhaft in der JARVIS-Projektmemory abgelegt:\n\n- **Projekt:** AutoShortsBot\n- **Repo:** `https://github.com/Gamexgit/AutoShortsBot`\n- **Status:** aktuell leer\n- **Ziel:** künftiger Code für AutoShortsBot kommt in dieses Repo\n- **GitHub Fine-grained Token:** liegt auf Google Drive in der Datei `Github_AutoShortsBot_Token`\n- **Thread:** Dieses Telegram-Topic `AutoShortsBot` wird als eigene Projekt-Session behandelt\n\nWichtig: Den Token selbst speichere oder zeige ich nicht im Chat. Ich werde ihn bei Bedarf aus Google Drive holen und nur als Runtime-Secret/Env-Var verwenden."
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      "content": "[M G] Speichere den Token für dich lokal an sicherer stelle. Ich habe dir unter .hermes/scripts/Auto_Shorts_Bot und Auto_Video_Bot nun bereits entwürfe von skripts abgelegt. Diese funktionieren, jedoch erreichen wir aktuell nicht sehr viele views. Studiere nun den code uns lass uns danach brainstormen wie wir das projekt erfolgreicher machen. Ziel ist es auf socialmedia (youtube shorts, tiktok) entsprechend follower zu sammeln um den kanal zu monetarisieren. Content den ich mir vorstellen könnte: lebensoptimierung, KI, Christlicher glaube (faith tok)."
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      "content": "{\"success\": true, \"name\": \"google-workspace\", \"description\": \"Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\", \"tags\": [\"Google\", \"Gmail\", \"Calendar\", \"Drive\", \"Sheets\", \"Docs\", \"Contacts\", \"Email\", \"OAuth\"], \"related_skills\": [\"himalaya\"], \"content\": \"---\\nname: google-workspace\\ndescription: \\\"Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\\\"\\nversion: 1.1.0\\nauthor: Nous Research\\nlicense: MIT\\nrequired_credential_files:\\n  - path: google_token.json\\n    description: Google OAuth2 token (created by setup script)\\n  - path: google_client_secret.json\\n    description: Google OAuth2 client credentials (downloaded from Google Cloud Console)\\nmetadata:\\n  hermes:\\n    tags: [Google, Gmail, Calendar, Drive, Sheets, Docs, Contacts, Email, OAuth]\\n    homepage: https://github.com/NousResearch/hermes-agent\\n    related_skills: [himalaya]\\n---\\n\\n# Google Workspace\\n\\nGmail, Calendar, Drive, Contacts, Sheets, and Docs — through Hermes-managed OAuth and a thin CLI wrapper. When `gws` is installed, the skill uses it as the execution backend for broader Google Workspace coverage; otherwise it falls back to the bundled Python client implementation.\\n\\n## References\\n- `references/gog-drive-docs-workflow.md` — `gog` CLI patterns for Drive folder discovery, Google Doc export, Markdown upload, Docs creation from Markdown, artifact verification, and temp-file cleanup.\\n- `references/drive-document-review-workflow.md` — workflow for validating Drive briefings/analyses against supporting Google Docs, DOCX, and PDFs, including text extraction and cross-checking claims.\\n- `references/drive-civic-dossier-analysis.md` — workflow for municipal/political dossier analysis from Drive folders with Botschaften, protocols, past credit requests, and current appendices.\\n- `references/gmail-search-syntax.md` — Gmail search operators (is:unread, from:, newer_than:, etc.)\\n- `references/gog-drive-docs-workflow.md` — `gog` CLI patterns for Drive folder discovery, Google Doc export, Markdown upload, Docs creation from Markdown, artifact verification, and temp-file cleanup.\\n- `references/drive-document-review-workflow.md` — workflow for validating Drive briefings/analyses against supporting Google Docs, DOCX, and PDFs, including text extraction and cross-checking claims.\\n- `references/gmail-search-syntax.md` — Gmail search operators (is:unread, from:, newer_than:, etc.)\\n## Scripts\\n\\n- `scripts/setup.py` — OAuth2 setup (run once to authorize)\\n- `scripts/google_api.py` — compatibility wrapper CLI. It prefers `gws` for operations when available, while preserving Hermes' existing JSON output contract.\\n\\n## First-Time Setup\\n\\nThe setup is fully non-interactive — you drive it step by step so it works\\non CLI, Telegram, Discord, or any platform.\\n\\nDefine a shorthand first:\\n\\n```bash\\nGSETUP=\\\"python ${HERMES_HOME:-$HOME/.hermes}/skills/productivity/google-workspace/scripts/setup.py\\\"\\n```\\n\\n### Step 0: Check if already set up\\n\\n```bash\\n$GSETUP --check\\n```\\n\\nIf it prints `AUTHENTICATED`, skip to Usage — setup is already done.\\n\\n### Step 1: Triage — ask the user what they need\\n\\nBefore starting OAuth setup, ask the user TWO questions:\\n\\n**Question 1: \\\"What Google services do you need? Just email, or also\\nCalendar/Drive/Sheets/Docs?\\\"**\\n\\n- **Email only** → They don't need this skill at all. Use the `himalaya` skill\\n  instead — it works with a Gmail App Password (Settings → Security → App\\n  Passwords) and takes 2 minutes to set up. No Google Cloud project needed.\\n  Load the himalaya skill and follow its setup instructions.\\n\\n- **Email + Calendar** → Continue with this skill, but use\\n  `--services email,calendar` during auth so the consent screen only asks for\\n  the scopes they actually need.\\n\\n- **Calendar/Drive/Sheets/Docs only** → Continue with this skill and use a\\n  narrower `--services` set like `calendar,drive,sheets,docs`.\\n\\n- **Full Workspace access** → Continue with this skill and use the default\\n  `all` service set.\\n\\n**Question 2: \\\"Does your Google account use Advanced Protection (hardware\\nsecurity keys required to sign in)? If you're not sure, you probably don't\\n— it's something you would have explicitly enrolled in.\\\"**\\n\\n- **No / Not sure** → Normal setup. Continue below.\\n- **Yes** → Their Workspace admin must add the OAuth client ID to the org's\\n  allowed apps list before Step 4 will work. Let them know upfront.\\n\\n### Step 2: Create OAuth credentials (one-time, ~5 minutes)\\n\\nTell the user:\\n\\n> You need a Google Cloud OAuth client. This is a one-time setup:\\n>\\n> 1. Create or select a project:\\n>    https://console.cloud.google.com/projectselector2/home/dashboard\\n> 2. Enable the required APIs from the API Library:\\n>    https://console.cloud.google.com/apis/library\\n>    Enable: Gmail API, Google Calendar API, Google Drive API,\\n>    Google Sheets API, Google Docs API, People API\\n> 3. Create the OAuth client here:\\n>    https://console.cloud.google.com/apis/credentials\\n>    Credentials → Create Credentials → OAuth 2.0 Client ID\\n> 4. Application type: \\\"Desktop app\\\" → Create\\n> 5. If the app is still in Testing, add the user's Google account as a test user here:\\n>    https://console.cloud.google.com/auth/audience\\n>    Audience → Test users → Add users\\n> 6. Download the JSON file and tell me the file path\\n>\\n> Important Hermes CLI note: if the file path starts with `/`, do NOT send only the bare path as its own message in the CLI, because it can be mistaken for a slash command. Send it in a sentence instead, like:\\n> `The JSON file path is: /home/user/Downloads/client_secret_....json`\\n\\nOnce they provide the path:\\n\\n```bash\\n$GSETUP --client-secret /path/to/client_secret.json\\n```\\n\\nIf they paste the raw client ID / client secret values instead of a file path,\\nwrite a valid Desktop OAuth JSON file for them yourself, save it somewhere\\nexplicit (for example `~/Downloads/hermes-google-client-secret.json`), then run\\n`--client-secret` against that file.\\n\\n### Step 3: Get authorization URL\\n\\nUse the service set chosen in Step 1. Examples:\\n\\n```bash\\n$GSETUP --auth-url --services email,calendar --format json\\n$GSETUP --auth-url --services calendar,drive,sheets,docs --format json\\n$GSETUP --auth-url --services all --format json\\n```\\n\\nThis returns JSON with an `auth_url` field and also saves the exact URL to\\n`~/.hermes/google_oauth_last_url.txt`.\\n\\nAgent rules for this step:\\n- Extract the `auth_url` field and send that exact URL to the user as a single line.\\n- Tell the user that the browser will likely fail on `http://localhost:1` after approval, and that this is expected.\\n- Tell them to copy the ENTIRE redirected URL from the browser address bar.\\n- If the user gets `Error 403: access_denied`, send them directly to `https://console.cloud.google.com/auth/audience` to add themselves as a test user.\\n\\n### Step 4: Exchange the code\\n\\nThe user will paste back either a URL like `http://localhost:1/?code=4/0A...&scope=...`\\nor just the code string. Either works. The `--auth-url` step stores a temporary\\npending OAuth session locally so `--auth-code` can complete the PKCE exchange\\nlater, even on headless systems:\\n\\n```bash\\n$GSETUP --auth-code \\\"THE_URL_OR_CODE_THE_USER_PASTED\\\" --format json\\n```\\n\\nIf `--auth-code` fails because the code expired, was already used, or came from\\nan older browser tab, it now returns a fresh `fresh_auth_url`. In that case,\\nimmediately send the new URL to the user and have them retry with the newest\\nbrowser redirect only.\\n\\n### Step 5: Verify\\n\\n```bash\\n$GSETUP --check\\n```\\n\\nShould print `AUTHENTICATED`. Setup is complete — token refreshes automatically from now on.\\n\\n### Notes\\n\\n- Token is stored at `~/.hermes/google_token.json` and auto-refreshes.\\n- Pending OAuth session state/verifier are stored temporarily at `~/.hermes/google_oauth_pending.json` until exchange completes.\\n- If `gws` is installed, `google_api.py` points it at the same `~/.hermes/google_token.json` credentials file. Users do not need to run a separate `gws auth login` flow.\\n- To revoke: `$GSETUP --revoke`\\n\\n## Usage\\n\\nAll commands go through the API script. Set `GAPI` as a shorthand:\\n\\n```bash\\nGAPI=\\\"python ${HERMES_HOME:-$HOME/.hermes}/skills/productivity/google-workspace/scripts/google_api.py\\\"\\n```\\n\\n### Gmail\\n\\n```bash\\n# Search (returns JSON array with id, from, subject, date, snippet)\\n$GAPI gmail search \\\"is:unread\\\" --max 10\\n$GAPI gmail search \\\"from:boss@company.com newer_than:1d\\\"\\n$GAPI gmail search \\\"has:attachment filename:pdf newer_than:7d\\\"\\n\\n# Read full message (returns JSON with body text)\\n$GAPI gmail get MESSAGE_ID\\n\\n# Send\\n$GAPI gmail send --to user@example.com --subject \\\"Hello\\\" --body \\\"Message text\\\"\\n$GAPI gmail send --to user@example.com --subject \\\"Report\\\" --body \\\"<h1>Q4</h1><p>Details...</p>\\\" --html\\n$GAPI gmail send --to user@example.com --subject \\\"Hello\\\" --from '\\\"Research Agent\\\" <user@example.com>' --body \\\"Message text\\\"\\n\\n# Reply (automatically threads and sets In-Reply-To)\\n$GAPI gmail reply MESSAGE_ID --body \\\"Thanks, that works for me.\\\"\\n$GAPI gmail reply MESSAGE_ID --from '\\\"Support Bot\\\" <user@example.com>' --body \\\"Thanks\\\"\\n\\n# Labels\\n$GAPI gmail labels\\n$GAPI gmail modify MESSAGE_ID --add-labels LABEL_ID\\n$GAPI gmail modify MESSAGE_ID --remove-labels UNREAD\\n```\\n\\n### Calendar\\n\\n```bash\\n# List events (defaults to next 7 days)\\n$GAPI calendar list\\n$GAPI calendar list --start 2026-03-01T00:00:00Z --end 2026-03-07T23:59:59Z\\n\\n# Create event (ISO 8601 with timezone required)\\n$GAPI calendar create --summary \\\"Team Standup\\\" --start 2026-03-01T10:00:00-06:00 --end 2026-03-01T10:30:00-06:00\\n$GAPI calendar create --summary \\\"Lunch\\\" --start 2026-03-01T12:00:00Z --end 2026-03-01T13:00:00Z --location \\\"Cafe\\\"\\n$GAPI calendar create --summary \\\"Review\\\" --start 2026-03-01T14:00:00Z --end 2026-03-01T15:00:00Z --attendees \\\"alice@co.com,bob@co.com\\\"\\n\\n# Delete event\\n$GAPI calendar delete EVENT_ID\\n```\\n\\n### Drive\\n\\n```bash\\n# Search existing files\\n$GAPI drive search \\\"quarterly report\\\" --max 10\\n$GAPI drive search \\\"mimeType='application/pdf'\\\" --raw-query --max 5\\n\\n# Get metadata for a single file\\n$GAPI drive get FILE_ID\\n\\n# Upload a local file (auto-detects MIME type)\\n$GAPI drive upload /path/to/report.pdf\\n$GAPI drive upload /path/to/image.png --name \\\"Logo.png\\\" --parent FOLDER_ID\\n\\n# Download (binary files download as-is; Google-native files export to a\\n# sensible default — Docs→pdf, Sheets→csv, Slides→pdf, Drawings→png)\\n$GAPI drive download FILE_ID\\n$GAPI drive download DOC_ID --output ~/doc.pdf\\n$GAPI drive download DOC_ID --export-mime text/plain --output ~/doc.txt\\n\\n# Create a folder\\n$GAPI drive create-folder \\\"Reports\\\"\\n$GAPI drive create-folder \\\"Q4\\\" --parent FOLDER_ID\\n\\n# Share\\n$GAPI drive share FILE_ID --email alice@example.com --role reader\\n$GAPI drive share FILE_ID --email alice@example.com --role writer --notify\\n$GAPI drive share FILE_ID --type anyone --role reader        # anyone with link\\n$GAPI drive share FILE_ID --type domain --domain example.com --role reader\\n\\n# Delete — defaults to trash (reversible). Use --permanent to skip the trash.\\n$GAPI drive delete FILE_ID\\n$GAPI drive delete FILE_ID --permanent\\n```\\n\\n### Contacts\\n\\n```bash\\n$GAPI contacts list --max 20\\n```\\n\\n### Sheets\\n\\n```bash\\n# Create a new spreadsheet\\n$GAPI sheets create --title \\\"Q4 Budget\\\"\\n$GAPI sheets create --title \\\"Inventory\\\" --sheet-name \\\"Stock\\\"\\n\\n# Read\\n$GAPI sheets get SHEET_ID \\\"Sheet1!A1:D10\\\"\\n\\n# Write\\n$GAPI sheets update SHEET_ID \\\"Sheet1!A1:B2\\\" --values '[[\\\"Name\\\",\\\"Score\\\"],[\\\"Alice\\\",\\\"95\\\"]]'\\n\\n# Append rows\\n$GAPI sheets append SHEET_ID \\\"Sheet1!A:C\\\" --values '[[\\\"new\\\",\\\"row\\\",\\\"data\\\"]]'\\n```\\n\\n### Docs\\n\\n```bash\\n# Read\\n$GAPI docs get DOC_ID\\n\\n# Create a new Doc (optionally seeded with body text)\\n$GAPI docs create --title \\\"Meeting Notes\\\"\\n$GAPI docs create --title \\\"Draft\\\" --body \\\"First paragraph...\\\"\\n\\n# Append text to the end of an existing Doc\\n$GAPI docs append DOC_ID --text \\\"Additional content to append\\\"\\n```\\n\\n## Output Format\\n\\nAll commands return JSON. Parse with `jq` or read directly. Key fields:\\n\\n- **Gmail search**: `[{id, threadId, from, to, subject, date, snippet, labels}]`\\n- **Gmail get**: `{id, threadId, from, to, subject, date, labels, body}`\\n- **Gmail send/reply**: `{status: \\\"sent\\\", id, threadId}`\\n- **Calendar list**: `[{id, summary, start, end, location, description, htmlLink}]`\\n- **Calendar create**: `{status: \\\"created\\\", id, summary, htmlLink}`\\n- **Drive search**: `[{id, name, mimeType, modifiedTime, webViewLink}]`\\n- **Drive get**: `{id, name, mimeType, modifiedTime, size, webViewLink, parents, owners}`\\n- **Drive upload**: `{status: \\\"uploaded\\\", id, name, mimeType, webViewLink}`\\n- **Drive download**: `{status: \\\"downloaded\\\", id, name, path, mimeType}`\\n- **Drive create-folder**: `{status: \\\"created\\\", id, name, webViewLink}`\\n- **Drive share**: `{status: \\\"shared\\\", permissionId, fileId, role, type}`\\n- **Drive delete**: `{status: \\\"trashed\\\" | \\\"deleted\\\", fileId, permanent}`\\n- **Contacts list**: `[{name, emails: [...], phones: [...]}]`\\n- **Sheets get**: `[[cell, cell, ...], ...]`\\n- **Sheets create**: `{status: \\\"created\\\", spreadsheetId, title, spreadsheetUrl}`\\n- **Docs create**: `{status: \\\"created\\\", documentId, title, url}`\\n- **Docs append**: `{status: \\\"appended\\\", documentId, inserted_at, characters}`\\n\\n## Rules\\n\\n1. **Never send email, create/delete calendar events, delete Drive files, share files, or modify Docs/Sheets without confirming with the user first.** Show what will be done (recipients, file IDs, content, share role) and ask for approval. For `drive delete`, prefer the default trash (reversible) over `--permanent`.\\n2. **Check auth before first use** — run `setup.py --check`. If it fails, guide the user through setup.\\n3. **Use the Gmail search syntax reference** for complex queries — load it with `skill_view(\\\"google-workspace\\\", file_path=\\\"references/gmail-search-syntax.md\\\")`.\\n4. **Calendar times must include timezone** — always use ISO 8601 with offset (e.g., `2026-03-01T10:00:00-06:00`) or UTC (`Z`).\\n5. **Respect rate limits** — avoid rapid-fire sequential API calls. Batch reads when possible.\\n\\n## Troubleshooting\\n\\n| Problem | Fix |\\n|---------|-----|\\n| `NOT_AUTHENTICATED` | Run setup Steps 2-5 above |\\n| `REFRESH_FAILED` | Token revoked or expired — redo Steps 3-5 |\\n| `HttpError 403: Insufficient Permission` | Missing API scope — `$GSETUP --revoke` then redo Steps 3-5 |\\n| `AUTHENTICATED (partial)` or \\\"Token missing scopes\\\" | New write capabilities (Drive write/delete, Docs create/edit) require re-authorization. `$GSETUP --revoke` then redo Steps 3-5 to grant the upgraded scopes. |\\n| `HttpError 403: Access Not Configured` | API not enabled — user needs to enable it in Google Cloud Console |\\n| `ModuleNotFoundError` | Run `$GSETUP --install-deps` |\\n| Advanced Protection blocks auth | Workspace admin must allowlist the OAuth client ID |\\n\\n## Revoking Access\\n\\n```bash\\n$GSETUP --revoke\\n```\\n\", \"path\": \"productivity/google-workspace/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/productivity/google-workspace\", \"linked_files\": {\"references\": [\"references/gog-drive-docs-workflow.md\", \"references/drive-civic-dossier-analysis.md\", \"references/gmail-search-syntax.md\", \"references/drive-document-review-workflow.md\"], \"scripts\": [\"scripts/google_api.py\", \"scripts/gws_bridge.py\", \"scripts/setup.py\", \"scripts/_hermes_home.py\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [\"google_token.json\", \"google_client_secret.json\"], \"missing_required_commands\": [], \"setup_needed\": true, \"setup_skipped\": false, \"readiness_status\": \"setup_needed\", \"setup_note\": \"Setup needed before using this skill: missing file google_token.json, file google_client_secret.json.\", \"metadata\": {\"hermes\": {\"tags\": [\"Google\", \"Gmail\", \"Calendar\", \"Drive\", \"Sheets\", \"Docs\", \"Contacts\", \"Email\", \"OAuth\"], \"homepage\": \"https://github.com/NousResearch/hermes-agent\", \"related_skills\": [\"himalaya\"]}}}",
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      "content": "{\"success\": true, \"name\": \"codebase-inspection\", \"description\": \"Inspect codebases w/ pygount: LOC, languages, ratios.\", \"tags\": [\"LOC\", \"Code Analysis\", \"pygount\", \"Codebase\", \"Metrics\", \"Repository\"], \"related_skills\": [\"github-repo-management\"], \"content\": \"---\\nname: codebase-inspection\\ndescription: \\\"Inspect codebases w/ pygount: LOC, languages, ratios.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n  hermes:\\n    tags: [LOC, Code Analysis, pygount, Codebase, Metrics, Repository]\\n    related_skills: [github-repo-management]\\nprerequisites:\\n  commands: [pygount]\\n---\\n\\n# Codebase Inspection with pygount\\n\\nAnalyze repositories for lines of code, language breakdown, file counts, and code-vs-comment ratios using `pygount`.\\n\\n## When to Use\\n\\n- User asks for LOC (lines of code) count\\n- User wants a language breakdown of a repo\\n- User asks about codebase size or composition\\n- User wants code-vs-comment ratios\\n- General \\\"how big is this repo\\\" questions\\n\\n## Prerequisites\\n\\n```bash\\npip install --break-system-packages pygount 2>/dev/null || pip install pygount\\n```\\n\\n## 1. Basic Summary (Most Common)\\n\\nGet a full language breakdown with file counts, code lines, and comment lines:\\n\\n```bash\\ncd /path/to/repo\\npygount --format=summary \\\\\\n  --folders-to-skip=\\\".git,node_modules,venv,.venv,__pycache__,.cache,dist,build,.next,.tox,.eggs,*.egg-info\\\" \\\\\\n  .\\n```\\n\\n**IMPORTANT:** Always use `--folders-to-skip` to exclude dependency/build directories, otherwise pygount will crawl them and take a very long time or hang.\\n\\n## 2. Common Folder Exclusions\\n\\nAdjust based on the project type:\\n\\n```bash\\n# Python projects\\n--folders-to-skip=\\\".git,venv,.venv,__pycache__,.cache,dist,build,.tox,.eggs,.mypy_cache\\\"\\n\\n# JavaScript/TypeScript projects\\n--folders-to-skip=\\\".git,node_modules,dist,build,.next,.cache,.turbo,coverage\\\"\\n\\n# General catch-all\\n--folders-to-skip=\\\".git,node_modules,venv,.venv,__pycache__,.cache,dist,build,.next,.tox,vendor,third_party\\\"\\n```\\n\\n## 3. Filter by Specific Language\\n\\n```bash\\n# Only count Python files\\npygount --suffix=py --format=summary .\\n\\n# Only count Python and YAML\\npygount --suffix=py,yaml,yml --format=summary .\\n```\\n\\n## 4. Detailed File-by-File Output\\n\\n```bash\\n# Default format shows per-file breakdown\\npygount --folders-to-skip=\\\".git,node_modules,venv\\\" .\\n\\n# Sort by code lines (pipe through sort)\\npygount --folders-to-skip=\\\".git,node_modules,venv\\\" . | sort -t$'\\\\t' -k1 -nr | head -20\\n```\\n\\n## 5. Output Formats\\n\\n```bash\\n# Summary table (default recommendation)\\npygount --format=summary .\\n\\n# JSON output for programmatic use\\npygount --format=json .\\n\\n# Pipe-friendly: Language, file count, code, docs, empty, string\\npygount --format=summary . 2>/dev/null\\n```\\n\\n## 6. Interpreting Results\\n\\nThe summary table columns:\\n- **Language** — detected programming language\\n- **Files** — number of files of that language\\n- **Code** — lines of actual code (executable/declarative)\\n- **Comment** — lines that are comments or documentation\\n- **%** — percentage of total\\n\\nSpecial pseudo-languages:\\n- `__empty__` — empty files\\n- `__binary__` — binary files (images, compiled, etc.)\\n- `__generated__` — auto-generated files (detected heuristically)\\n- `__duplicate__` — files with identical content\\n- `__unknown__` — unrecognized file types\\n\\n## Pitfalls\\n\\n1. **Always exclude .git, node_modules, venv** — without `--folders-to-skip`, pygount will crawl everything and may take minutes or hang on large dependency trees.\\n2. **Markdown shows 0 code lines** — pygount classifies all Markdown content as comments, not code. This is expected behavior.\\n3. **JSON files show low code counts** — pygount may count JSON lines conservatively. For accurate JSON line counts, use `wc -l` directly.\\n4. **Large monorepos** — for very large repos, consider using `--suffix` to target specific languages rather than scanning everything.\\n\", \"path\": \"github/codebase-inspection/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/github/codebase-inspection\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"LOC\", \"Code Analysis\", \"pygount\", \"Codebase\", \"Metrics\", \"Repository\"], \"related_skills\": [\"github-repo-management\"]}}}",
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      "content": "{\"success\": true, \"name\": \"youtube-content\", \"description\": \"YouTube transcripts to summaries, threads, blogs.\", \"tags\": [], \"related_skills\": [], \"content\": \"---\\nname: youtube-content\\ndescription: \\\"YouTube transcripts to summaries, threads, blogs.\\\"\\nplatforms: [linux, macos, windows]\\n---\\n\\n# YouTube Content Tool\\n\\n## When to use\\n\\nUse when the user shares a YouTube URL or video link, asks to summarize a video, requests a transcript, or wants to extract and reformat content from any YouTube video. Transforms transcripts into structured content (chapters, summaries, threads, blog posts).\\n\\nExtract transcripts from YouTube videos and convert them into useful formats.\\n\\n## Setup\\n\\n```bash\\npip install youtube-transcript-api\\n```\\n\\n## Helper Script\\n\\n`SKILL_DIR` is the directory containing this SKILL.md file. The script accepts any standard YouTube URL format, short links (youtu.be), shorts, embeds, live links, or a raw 11-character video ID.\\n\\n```bash\\n# JSON output with metadata\\npython3 SKILL_DIR/scripts/fetch_transcript.py \\\"https://youtube.com/watch?v=VIDEO_ID\\\"\\n\\n# Plain text (good for piping into further processing)\\npython3 SKILL_DIR/scripts/fetch_transcript.py \\\"URL\\\" --text-only\\n\\n# With timestamps\\npython3 SKILL_DIR/scripts/fetch_transcript.py \\\"URL\\\" --timestamps\\n\\n# Specific language with fallback chain\\npython3 SKILL_DIR/scripts/fetch_transcript.py \\\"URL\\\" --language tr,en\\n```\\n\\n## Output Formats\\n\\nAfter fetching the transcript, format it based on what the user asks for:\\n\\n- **Chapters**: Group by topic shifts, output timestamped chapter list\\n- **Summary**: Concise 5-10 sentence overview of the entire video\\n- **Chapter summaries**: Chapters with a short paragraph summary for each\\n- **Thread**: Twitter/X thread format — numbered posts, each under 280 chars\\n- **Blog post**: Full article with title, sections, and key takeaways\\n- **Quotes**: Notable quotes with timestamps\\n\\n### Example — Chapters Output\\n\\n```\\n00:00 Introduction — host opens with the problem statement\\n03:45 Background — prior work and why existing solutions fall short\\n12:20 Core method — walkthrough of the proposed approach\\n24:10 Results — benchmark comparisons and key takeaways\\n31:55 Q&A — audience questions on scalability and next steps\\n```\\n\\n## Workflow\\n\\n1. **Fetch** the transcript using the helper script with `--text-only --timestamps`.\\n2. **Validate**: confirm the output is non-empty and in the expected language. If empty, retry without `--language` to get any available transcript. If still empty, tell the user the video likely has transcripts disabled.\\n3. **Chunk if needed**: if the transcript exceeds ~50K characters, split into overlapping chunks (~40K with 2K overlap) and summarize each chunk before merging.\\n4. **Transform** into the requested output format. If the user did not specify a format, default to a summary.\\n5. **Verify**: re-read the transformed output to check for coherence, correct timestamps, and completeness before presenting.\\n\\n## Error Handling\\n\\n- **Transcript disabled**: tell the user; suggest they check if subtitles are available on the video page.\\n- **Private/unavailable video**: relay the error and ask the user to verify the URL.\\n- **No matching language**: retry without `--language` to fetch any available transcript, then note the actual language to the user.\\n- **Dependency missing**: run `pip install youtube-transcript-api` and retry.\\n\", \"path\": \"media/youtube-content/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/media/youtube-content\", \"linked_files\": {\"references\": [\"references/output-formats.md\"], \"scripts\": [\"scripts/fetch_transcript.py\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}",
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      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|import os\\n     2|import sys\\n     3|import requests\\n     4|import base64\\n     5|import random\\n     6|import time\\n     7|import json\\n     8|import asyncio\\n     9|from brain import get_creative_idea\\n    10|from dotenv import load_dotenv\\n    11|import edge_tts\\n    12|import yt_dlp\\n    13|from moviepy.editor import ImageClip, TextClip, ColorClip, CompositeVideoClip, concatenate_videoclips, AudioFileClip, CompositeAudioClip\\n    14|import moviepy.audio.fx.all as afx\\n    15|from datetime import datetime\\n    16|import PIL.Image\\n    17|\\n    18|if not hasattr(PIL.Image, 'ANTIALIAS'):\\n    19|    PIL.Image.ANTIALIAS = PIL.Image.Resampling.LANCZOS\\n    20|\\n    21|load_dotenv()\\n    22|NVIDIA_API_KEY = os.getenv(\\\"NVIDIA_API_KEY\\\")\\n    23|VOICE = \\\"en-US-SteffanNeural\\\"\\n    24|FONT_NAME = \\\"Ubuntu-Bold\\\"\\n    25|\\n    26|def load_config():\\n    27|    try:\\n    28|        with open('content_strategy.json', 'r', encoding='utf-8') as f: return json.load(f)\\n    29|    except: return None\\n    30|\\n    31|def generate_image(prompt, filename):\\n    32|    url = \\\"https://ai.api.nvidia.com/v1/genai/black-forest-labs/flux.1-dev\\\"\\n    33|    headers = {\\\"Authorization\\\": f\\\"Bearer {NVIDIA_API_KEY}\\\", \\\"Accept\\\": \\\"application/json\\\", \\\"Content-Type\\\": \\\"application/json\\\"}\\n    34|    \\n    35|    current_prompt = str(prompt)[:500] \\n    36|    attempts = 0\\n    37|    \\n    38|    while attempts < 3:\\n    39|        # Exakt die von NVIDIA erlaubten Auflösungs-Werte für perfektes Hochformat.\\n    40|        payload = {\\n    41|            \\\"prompt\\\": current_prompt,\\n    42|            \\\"mode\\\": \\\"base\\\",\\n    43|            \\\"cfg_scale\\\": 3.5,\\n    44|            \\\"width\\\": 768,\\n    45|            \\\"height\\\": 1344,\\n    46|            \\\"seed\\\": random.randint(1, 100000),\\n    47|            \\\"steps\\\": 50\\n    48|        }\\n    49|        \\n    50|        try:\\n    51|            print(f\\\"🎨 Generating image (Flux 1 Dev): {filename}...\\\")\\n    52|            response = requests.post(url, headers=headers, json=payload, timeout=120) \\n    53|            \\n    54|            if response.status_code != 200:\\n    55|                print(f\\\"⚠️ API Info: {response.text}\\\")\\n    56|                response.raise_for_status()\\n    57|                \\n    58|            data = response.json()\\n    59|            image_b64 = data.get(\\\"image\\\") or (data[\\\"artifacts\\\"][0].get(\\\"base64\\\") if \\\"artifacts\\\" in data else None)\\n    60|            \\n    61|            if not image_b64: raise Exception(\\\"Empty image data\\\")\\n    62|                \\n    63|            filepath = os.path.join(\\\"assets\\\", filename)\\n    64|            with open(filepath, \\\"wb\\\") as f: f.write(base64.b64decode(image_b64))\\n    65|            return filepath\\n    66|            \\n    67|        except Exception as e:\\n    68|            print(f\\\"⚠️ Prompt blockiert oder Fehler. Nutze Fallback-Finanz-Setting...\\\")\\n    69|            current_prompt = \\\"A majestic, cinematic close-up of abstract golden graphs rising upwards, minimalist modern office bokeh background, extremely soft studio lighting, photorealistic, 8k, vertical\\\"\\n    70|            attempts += 1\\n    71|            time.sleep(3)\\n    72|            \\n    73|    raise Exception(f\\\"Image generation failed completely for {filename}\\\")\\n    74|\\n    75|ROYALTY_FREE_TRACKS = {\\n    76|    \\\"calm\\\": [\\\"ytsearch1:royalty free calm relaxing space ambient music 3 minutes\\\"],\\n    77|    \\\"mysterious\\\": [\\\"ytsearch1:royalty free dark ambient background music 3 minutes\\\"],\\n    78|    \\\"lofi background\\\": [\\\"ytsearch1:royalty free lofi chill beats background music 3 minutes\\\"],\\n    79|    \\\"ambient\\\": [\\\"ytsearch1:royalty free ambient healing background music 3 minutes\\\"]\\n    80|}\\n    81|\\n    82|def format_vtt_time(seconds):\\n    83|    h = int(seconds // 3600); m = int((seconds % 3600) // 60); s = int(seconds % 60); ms = int((seconds % 1) * 1000)\\n    84|    return f\\\"{h:02d}:{m:02d}:{s:02d}.{ms:03d}\\\"\\n    85|\\n    86|async def generate_tts_file(text, filename, max_retries=3):\\n    87|    communicate = edge_tts.Communicate(text, VOICE)\\n    88|    filepath = os.path.join(\\\"assets\\\", filename)\\n    89|    vtt_path = filepath.replace(\\\".mp3\\\", \\\".vtt\\\")\\n    90|    for attempt in range(max_retries):\\n    91|        try:\\n    92|            print(f\\\"🎙️ Generating TTS: {filename}...\\\")\\n    93|            vtt_lines = [\\\"WEBVTT\\\\n\\\\n\\\"]\\n    94|            with open(filepath, \\\"wb\\\") as file:\\n    95|                async for chunk in communicate.stream():\\n    96|                    if chunk[\\\"type\\\"] == \\\"audio\\\": file.write(chunk[\\\"data\\\"])\\n    97|                    elif chunk[\\\"type\\\"] == \\\"WordBoundary\\\":\\n    98|                        start_sec = chunk[\\\"offset\\\"] / 10000000.0\\n    99|                        end_sec = (chunk[\\\"offset\\\"] + chunk[\\\"duration\\\"]) / 10000000.0\\n   100|                        vtt_lines.append(f\\\"{format_vtt_time(start_sec)} --> {format_vtt_time(end_sec)}\\\\n{chunk['text']}\\\\n\\\\n\\\")\\n   101|            with open(vtt_path, \\\"w\\\", encoding=\\\"utf-8\\\") as vtt_file: vtt_file.writelines(vtt_lines)\\n   102|            return filepath\\n   103|        except Exception as e:\\n   104|            print(f\\\"⚠️ Microsoft Server überlastet (Versuch {attempt+1}/{max_retries}). Warte 3 Sekunden...\\\")\\n   105|            await asyncio.sleep(3)\\n   106|    raise Exception(f\\\"TTS generation failed for {filename}\\\")\\n   107|\\n   108|def get_real_audio_track(genre_suggestion):\\n   109|    genre = genre_suggestion.strip().lower()\\n   110|    if genre not in ROYALTY_FREE_TRACKS: genre = \\\"calm\\\"\\n   111|    music_folder = os.path.join(\\\"music\\\", genre)\\n   112|    if not os.path.exists(music_folder): os.makedirs(music_folder)\\n   113|    tracks = [f for f in os.listdir(music_folder) if f.endswith(\\\".mp3\\\")]\\n   114|    if tracks: return os.path.join(music_folder, random.choice(tracks))\\n   115|    search_query = random.choice(ROYALTY_FREE_TRACKS[genre])\\n   116|    base_output_path = os.path.join(music_folder, f\\\"track_{int(time.time())}\\\")\\n   117|    ydl_opts = {'format': 'bestaudio/best', 'postprocessors': [{'key': 'FFmpegExtractAudio','preferredcodec': 'mp3','preferredquality': '192'}], 'outtmpl': base_output_path, 'quiet': True, 'no_warnings': True}\\n   118|    try:\\n   119|        with yt_dlp.YoutubeDL(ydl_opts) as ydl: ydl.download([search_query])\\n   120|        return base_output_path + \\\".mp3\\\"\\n   121|    except: return None\\n   122|\\n   123|def parse_and_group_vtt(vtt_path, text_content, audio_duration, max_words=3):\\n   124|    def time_to_sec(t): h, m, s = t.split(':'); return int(h)*3600 + int(m)*60 + float(s)\\n   125|    subs = []\\n   126|    if os.path.exists(vtt_path):\\n   127|        with open(vtt_path, 'r', encoding='utf-8') as f: lines = f.readlines()\\n   128|        i = 0\\n   129|        while i < len(lines):\\n   130|            if '-->' in lines[i]:\\n   131|                s, e = lines[i].strip().split(' --> ')\\n   132|                text = \\\"\\\"; j = i + 1\\n   133|                while j < len(lines) and lines[j].strip() != \\\"\\\" and '-->' not in lines[j]: text += lines[j].strip() + \\\" \\\"; j += 1\\n   134|                if text.strip():\\n   135|                    try: subs.append({'start': time_to_sec(s), 'end': time_to_sec(e), 'text': text.strip()})\\n   136|                    except: pass\\n   137|                i = j\\n   138|            else: i += 1\\n   139|    chunks = []; current = []\\n   140|    for sub in subs:\\n   141|        current.append(sub)\\n   142|        if len(current) == max_words or sub['text'].endswith(('.', ',', '!', '?')):\\n   143|            chunks.append({'start': current[0]['start'], 'end': current[-1]['end'], 'text': ' '.join([x['text'] for x in current])})\\n   144|            current = []\\n   145|    if current: chunks.append({'start': current[0]['start'], 'end': current[-1]['end'], 'text': ' '.join([x['text'] for x in current])})\\n   146|    return chunks\\n   147|\\n   148|def render_final_video(idea, bgm_path, with_subs=False):\\n   149|    timestamp = datetime.now().strftime(\\\"%Y-%m-%d_%H-%M\\\")\\n   150|    suffix = \\\"subtitled\\\" if with_subs else \\\"hybrid\\\"\\n   151|    final_filename = f\\\"{timestamp}_60s_{suffix}.mp4\\\"\\n   152|    output_path = os.path.join(\\\"output\\\", final_filename)\\n   153|    print(f\\\"\\\\n🎬 Rendering 60s+ Video ({suffix}): {final_filename}...\\\")\\n   154|    \\n   155|    FADE_DURATION = 0.4; bg_width = 768; bg_height = 1365\\n   156|    processed_clips = []; voiceover_clips = []; current_time_offset = 0\\n   157|\\n   158|    def create_audio_slide(img_path, voice_path, text_content, is_checklist=False, checklist_text=\\\"\\\", needs_flash=False, zoom_in=True):\\n   159|        voice_clip = AudioFileClip(voice_path)\\n   160|        duration = voice_clip.duration + 0.3\\n   161|        img_clip = ImageClip(img_path).resize((bg_width, bg_height)).set_duration(duration)\\n   162|        if zoom_in: img_clip = img_clip.resize(lambda t: 1.0 + 0.06 * t / duration)\\n   163|        else: img_clip = img_clip.resize(lambda t: 1.06 - 0.06 * t / duration)\\n   164|        \\n   165|        text_clips = []\\n   166|        if is_checklist:\\n   167|            # FIX: Fügt ein semi-transparentes schwarzes Overlay hinter den Checklisten-Text ein (25 % Transparenz = 75 % Deckkraft)\\n   168|            real_checklist_text = checklist_text.replace('\\\\\\\\n', '\\\\n')\\n   169|            \\n   170|            # Die Text-Ebene (weiß)\\n   171|            check_txt = TextClip(real_checklist_text, fontsize=36, color='white', font=FONT_NAME, method='caption', size=(int(bg_width*0.88), None), align='center').set_duration(duration)\\n   172|            \\n   173|            # Die semi-transparente schwarze Fläche hinter dem Text\\n   174|            dark_bg_area = ColorClip(size=(int(bg_width * 0.95), int(check_txt.h * 1.1)), color=(0,0,0)).set_opacity(0.75).set_duration(duration)\\n   175|            \\n   176|            # Fügt alles zusammen: Bild -> Fläche -> Text\\n   177|            # Positioniert die Fläche und den Text zentriert\\n   178|            final_slide_composite = CompositeVideoClip([\\n   179|                img_clip,\\n   180|                dark_bg_area.set_position('center'),\\n   181|                check_txt.set_position('center')\\n   182|            ]).set_duration(duration)\\n   183|            \\n   184|            return final_slide_composite, voice_clip, duration\\n   185|            \\n   186|        elif with_subs and text_content:\\n   187|            vtt_path = voice_path.replace(\\\".mp3\\\", \\\".vtt\\\")\\n   188|            chunks = parse_and_group_vtt(vtt_path, text_content, voice_clip.duration, max_words=3)\\n   189|            y_pos = int(bg_height * 0.65)\\n   190|            for chunk in chunks:\\n   191|                txt = TextClip(chunk['text'].upper(), fontsize=100, color='yellow', font=FONT_NAME, stroke_color='black', stroke_width=3, method='caption', size=(int(bg_width*0.9), None), align='center').set_duration(chunk['end'] - chunk['start'] + 0.1)\\n   192|                text_clips.append(txt.set_position(('center', y_pos)).set_start(chunk['start']))\\n   193|                \\n   194|        main_clip = CompositeVideoClip([img_clip] + text_clips).set_duration(duration)\\n   195|        if needs_flash:\\n   196|            flash = ColorClip(size=(bg_width, bg_height), color=(255,255,255)).set_duration(0.15).set_opacity(0.7).set_start(0)\\n   197|            main_clip = CompositeVideoClip([main_clip, flash]).set_duration(duration)\\n   198|        return main_clip, voice_clip, duration\\n   199|\\n   200|    for i, scene in enumerate(idea[\\\"intro_scenes\\\"]):\\n   201|        slide, intro_v, dur = create_audio_slide(os.path.join(\\\"assets\\\", f\\\"intro_{i}.jpg\\\"), os.path.join(\\\"assets\\\", f\\\"intro_{i}.mp3\\\"), scene[\\\"text\\\"], zoom_in=True)\\n   202|        processed_clips.append(slide); voiceover_clips.append(intro_v.set_start(current_time_offset)); current_time_offset += dur\\n   203|    for i, tip in enumerate(idea[\\\"tips\\\"]):\\n   204|        prob_slide, prob_v, dur = create_audio_slide(os.path.join(\\\"assets\\\", f\\\"tip_{i}_prob.jpg\\\"), os.path.join(\\\"assets\\\", f\\\"tip_{i}_prob.mp3\\\"), tip[\\\"prob_text\\\"], zoom_in=False)\\n   205|        processed_clips.append(prob_slide.crossfadein(FADE_DURATION)); voiceover_clips.append(prob_v.set_start(current_time_offset - FADE_DURATION/2)); current_time_offset += dur - FADE_DURATION\\n   206|        sol_slide, sol_v, dur = create_audio_slide(os.path.join(\\\"assets\\\", f\\\"tip_{i}_sol.jpg\\\"), os.path.join(\\\"assets\\\", f\\\"tip_{i}_sol.mp3\\\"), tip[\\\"sol_text\\\"], zoom_in=True, needs_flash=True)\\n   207|        processed_clips.append(sol_slide.crossfadein(FADE_DURATION)); voiceover_clips.append(sol_v.set_start(current_time_offset - FADE_DURATION/2)); current_time_offset += dur - FADE_DURATION\\n   208|    add_slide, add_v, dur = create_audio_slide(os.path.join(\\\"assets\\\", \\\"bonus.jpg\\\"), os.path.join(\\\"assets\\\", \\\"bonus.mp3\\\"), idea[\\\"bonus_text\\\"], zoom_in=False)\\n   209|    processed_clips.append(add_slide.crossfadein(FADE_DURATION)); voiceover_clips.append(add_v.set_start(current_time_offset - FADE_DURATION/2)); current_time_offset += dur - FADE_DURATION\\n   210|    out_slide, out_v, dur = create_audio_slide(os.path.join(\\\"assets\\\", \\\"outro.jpg\\\"), os.path.join(\\\"assets\\\", \\\"outro.mp3\\\"), idea[\\\"outro_text\\\"], is_checklist=True, checklist_text=idea[\\\"checklist_text\\\"], zoom_in=True)\\n   211|    processed_clips.append(out_slide.crossfadein(FADE_DURATION)); voiceover_clips.append(out_v.set_start(current_time_offset - FADE_DURATION/2))\\n   212|    \\n   213|    final_video = concatenate_videoclips(processed_clips, method=\\\"compose\\\", padding=-FADE_DURATION).set_audio(CompositeAudioClip(voiceover_clips))\\n   214|    if bgm_path and os.path.exists(bgm_path): final_video = final_video.set_audio(CompositeAudioClip([final_video.audio, AudioFileClip(bgm_path).volumex(0.07).fx(afx.audio_loop, duration=final_video.duration)]))\\n   215|    \\n   216|    final_video.write_videofile(output_path, fps=24, codec=\\\"libx264\\\", audio_codec=\\\"aac\\\")\\n   217|    return final_filename\\n   218|\\n   219|async def main():\\n   220|    if not os.path.exists(\\\"assets\\\"): os.makedirs(\\\"assets\\\")\\n   221|    if not os.path.exists(\\\"output\\\"): os.makedirs(\\\"output\\\")\\n   222|    for f in os.listdir(\\\"assets\\\"):\\n   223|        if f.endswith((\\\".jpg\\\", \\\".png\\\", \\\".mp3\\\", \\\".wav\\\", \\\".vtt\\\")): os.remove(os.path.join(\\\"assets\\\", f))\\n   224|    \\n   225|    filter_kw, individual_data, regie_data = None, None, None\\n   226|    if len(sys.argv) > 1:\\n   227|        arg = sys.argv[1].lower()\\n   228|        if arg == \\\"-regie\\\":\\n   229|            print(\\\"\\\\n🎬 REGIE-MODUS!\\\\nKopiere Skript, tippe END auf neue Zeile & Enter.\\\\n\\\")\\n   230|            lines = []\\n   231|            while True:\\n   232|                line = input()\\n   233|                if line.strip() == \\\"END\\\": break\\n   234|                lines.append(line)\\n   235|            regie_data = \\\"\\\\n\\\".join(lines)\\n   236|        elif arg == \\\"-individual\\\":\\n   237|            print(\\\"\\\\n🪄 INDIVIDUAL MODE!\\\")\\n   238|            individual_data = {\\\"main_topic\\\": input(\\\"👉 Thema: \\\"), \\\"sub1\\\": input(\\\"👉 Szene 1: \\\"), \\\"sub2\\\": input(\\\"👉 Szene 2: \\\"), \\\"sub3\\\": input(\\\"👉 Szene 3: \\\"), \\\"sub4\\\": input(\\\"👉 Szene 4: \\\")}\\n   239|        else: filter_kw = arg\\n   240|    \\n   241|    time.sleep(2) \\n   242|    idea = get_creative_idea(filter_kw=filter_kw, individual_data=individual_data, regie_data=regie_data)\\n   243|    if not idea: return\\n   244|    try:\\n   245|        for i, scene in enumerate(idea[\\\"intro_scenes\\\"]): generate_image(scene[\\\"image\\\"], f\\\"intro_{i}.jpg\\\")\\n   246|        for i, tip in enumerate(idea[\\\"tips\\\"]): generate_image(tip[\\\"prob_image\\\"], f\\\"tip_{i}_prob.jpg\\\"); generate_image(tip[\\\"sol_image\\\"], f\\\"tip_{i}_sol.jpg\\\")\\n   247|        generate_image(idea[\\\"bonus_image\\\"], \\\"bonus.jpg\\\"); generate_image(idea[\\\"outro_image\\\"], \\\"outro.jpg\\\")\\n   248|    except Exception as e: print(f\\\"❌ Image Error: {e}\\\"); return\\n   249|    for i, scene in enumerate(idea[\\\"intro_scenes\\\"]): await generate_tts_file(scene[\\\"text\\\"], f\\\"intro_{i}.mp3\\\"); await asyncio.sleep(0.5)\\n   250|    for i, tip in enumerate(idea[\\\"tips\\\"]): await generate_tts_file(tip[\\\"prob_text\\\"], f\\\"tip_{i}_prob.mp3\\\"); await asyncio.sleep(0.5); await generate_tts_file(tip[\\\"sol_text\\\"], f\\\"tip_{i}_sol.mp3\\\"); await asyncio.sleep(0.5)\\n   251|    await generate_tts_file(idea[\\\"bonus_text\\\"], \\\"bonus.mp3\\\"); await generate_tts_file(idea[\\\"outro_text\\\"], \\\"outro.mp3\\\")\\n   252|    bgm_path = get_real_audio_track(idea.get(\\\"music_genre\\\", \\\"calm\\\"))\\n   253|    hybrid_name = render_final_video(idea, bgm_path, with_subs=False)\\n   254|    subbed_name = render_final_video(idea, bgm_path, with_subs=True)\\n   255|    txt_path = os.path.join(\\\"output\\\", hybrid_name.replace(\\\"_hybrid.mp4\\\", \\\"_desc.txt\\\"))\\n   256|    with open(txt_path, \\\"w\\\", encoding=\\\"utf-8\\\") as f: f.write(f\\\"TITLE: {idea.get('topic_title', '')}\\\\n\\\\nDESCRIPTION:\\\\n{idea.get('detailed_description', '')}\\\\n\\\\nCAPTION:\\\\n{idea.get('social_caption', '')}\\\\n\\\\nTAGS:\\\\n{idea.get('hashtags', '')}\\\")\\n   257|    print(\\\"\\\\n✅ ULTRA-DYNAMIC 60s+ RENDER ERFOLGREICH!\\\")\\n   258|\\n   259|if __name__ == '__main__': asyncio.run(main())\\n   260|\", \"total_lines\": 259, \"file_size\": 14950, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_tsz4HXgIQj0Oi16A8inIVwgw"
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|import os\\n     2|import json\\n     3|import random\\n     4|from openai import OpenAI\\n     5|from dotenv import load_dotenv\\n     6|\\n     7|load_dotenv()\\n     8|API_KEY = os.getenv(\\\"LLM_API_KEY\\\") or os.getenv(\\\"NVIDIA_API_KEY\\\")\\n     9|\\n    10|def load_strategy():\\n    11|    try:\\n    12|        with open('content_strategy.json', 'r', encoding='utf-8') as f: return json.load(f)\\n    13|    except: return None\\n    14|\\n    15|def get_next_topic(strategy, filter_kw=None):\\n    16|    if filter_kw:\\n    17|        keyword = filter_kw.replace(\\\"-\\\", \\\"\\\").lower()\\n    18|        matches = [t for t in strategy[\\\"topics\\\"] if t.lower().startswith(keyword)]\\n    19|        if not matches: matches = [t for t in strategy[\\\"topics\\\"] if keyword in t.lower()]\\n    20|        if matches: return random.choice(matches)\\n    21|\\n    22|    history_file = 'topic_history.json'\\n    23|    history = []\\n    24|    if os.path.exists(history_file):\\n    25|        try:\\n    26|            with open(history_file, 'r') as f: history = json.load(f)\\n    27|        except: pass\\n    28|        \\n    29|    available_topics = [t for t in strategy[\\\"topics\\\"] if t not in history]\\n    30|    if not available_topics: available_topics = strategy[\\\"topics\\\"]; history = []\\n    31|        \\n    32|    selected_topic = random.choice(available_topics)\\n    33|    history.append(selected_topic)\\n    34|    if len(history) > 10: history.pop(0)\\n    35|    with open(history_file, 'w') as f: json.dump(history, f)\\n    36|    return selected_topic\\n    37|\\n    38|def get_creative_idea(filter_kw=None, individual_data=None, regie_data=None):\\n    39|    strategy = load_strategy()\\n    40|    if not strategy: return None\\n    41|        \\n    42|    if regie_data:\\n    43|        selected_topic = \\\"Custom Regie Script\\\"\\n    44|        print(f\\\"🧠 REGIE MODE: Analysiere dein Skript und konvertiere es ins 60s+ Format...\\\")\\n    45|        scene_instructions = f\\\"\\\"\\\"\\n    46|CRITICAL INSTRUCTION: The user provided a raw director's script (Visuals & Audio) below.\\n    47|RAW SCRIPT:\\n    48|---\\n    49|{regie_data}\\n    50|---\\n    51|Your job: Translate this EXACTLY into our required JSON structure. Split intro into 3 scenes, format 4 tips (Prob/Sol), bonus, outro. INVENT remaining tips if fewer than 4 are provided. Keep their visual descriptions as base, but strip all text.\\n    52|\\\"\\\"\\\"\\n    53|    elif individual_data:\\n    54|        selected_topic = individual_data[\\\"main_topic\\\"]\\n    55|        scene_instructions = f\\\"- Tip 1: {individual_data['sub1']}\\\\n- Tip 2: {individual_data['sub2']}\\\\n- Tip 3: {individual_data['sub3']}\\\\n- Tip 4: {individual_data['sub4']}\\\"\\n    56|    else:\\n    57|        selected_topic = get_next_topic(strategy, filter_kw)\\n    58|        scene_instructions = \\\"\\\"\\n    59|\\n    60|    client = OpenAI(base_url=\\\"https://integrate.api.nvidia.com/v1\\\", api_key=API_KEY)\\n    61|    \\n    62|    user_prompt = f\\\"\\\"\\\"\\n    63|    Generate a highly engaging video script (>60 seconds) in fluent ENGLISH for the topic: \\\"{selected_topic}\\\".\\n    64|\\n    65|    CRITICAL RULES:\\n    66|    1. Intro: 3 story scenes (approx 12 words each). Scene 3 ends with a question.\\n    67|    2. Structure: 4 Tips (Problem + Solution).\\n    68|    3. Pacing: Use natural transitions (\\\"What helps is...\\\", \\\"Instead...\\\").\\n    69|    4. Outro Checklist: detailed, use '\\\\\\\\n' for breaks, end with CTA to read description.\\n    70|    5. IMAGE SAFETY & TEXT RULE: For all image prompts, generate STRICTLY PROFESSIONAL, SAFE-FOR-WORK descriptions. Crucially: Do NOT include any typography, writing, letters, words, logos, or text overlays inside the images themselves. Ensure the Flux model generates pure visual scenery only. Keep prompts clean and cinematic. \\n    71|\\n    72|    {scene_instructions}\\n    73|\\n    74|    Return EXACTLY this JSON. No extra text, no markdown format:\\n    75|    {{\\n    76|      \\\"topic_title\\\": \\\"Short Title\\\",\\n    77|      \\\"music_genre\\\": \\\"mysterious\\\",\\n    78|      \\\"intro_scenes\\\": [\\n    79|        {{\\\"text\\\": \\\"Scene 1\\\", \\\"image\\\": \\\"Prompt 1\\\"}},\\n    80|        {{\\\"text\\\": \\\"Scene 2\\\", \\\"image\\\": \\\"Prompt 2\\\"}},\\n    81|        {{\\\"text\\\": \\\"Scene 3\\\", \\\"image\\\": \\\"Prompt 3\\\"}}\\n    82|      ],\\n    83|      \\\"tips\\\": [\\n    84|        {{\\n    85|          \\\"prob_text\\\": \\\"The Problem (approx 20 words).\\\",\\n    86|          \\\"prob_image\\\": \\\"Prompt 1\\\",\\n    87|          \\\"sol_text\\\": \\\"The Solution using a natural transition (approx 20 words).\\\",\\n    88|          \\\"sol_image\\\": \\\"Prompt 2\\\"\\n    89|        }}\\n    90|      ],\\n    91|      \\\"bonus_text\\\": \\\"Secret bonus/myth bust (approx 25 words).\\\",\\n    92|      \\\"bonus_image\\\": \\\"Prompt\\\",\\n    93|      \\\"outro_text\\\": \\\"Screenshot trap command.\\\",\\n    94|      \\\"outro_image\\\": \\\"Dark prompt\\\",\\n    95|      \\\"checklist_text\\\": \\\"1. Tip 1...\\\\\\\\n2. Tip 2...\\\\\\\\n\\\\\\\\n👉 Read description!\\\",\\n    96|      \\\"detailed_description\\\": \\\"A very detailed 150 word summary.\\\",\\n    97|      \\\"social_caption\\\": \\\"Short catchy hook\\\",\\n    98|      \\\"hashtags\\\": \\\"#tags\\\"\\n    99|    }}\\n   100|    \\\"\\\"\\\"\\n   101|\\n   102|    try:\\n   103|        print(\\\"🤔 Deepseek 3.2 denkt nach (Streaming aktiv) \\\", end=\\\"\\\", flush=True)\\n   104|        \\n   105|        completion = client.chat.completions.create(\\n   106|            model=\\\"deepseek-ai/deepseek-v3.2\\\",\\n   107|            messages=[{\\\"role\\\": \\\"system\\\", \\\"content\\\": strategy['system_role']}, {\\\"role\\\": \\\"user\\\", \\\"content\\\": user_prompt}],\\n   108|            temperature=0.7,\\n   109|            max_tokens=8192,\\n   110|            extra_body={\\\"chat_template_kwargs\\\": {\\\"thinking\\\": True}},\\n   111|            stream=True\\n   112|        )\\n   113|\\n   114|        final_content = \\\"\\\"\\n   115|        for chunk in completion:\\n   116|            if not getattr(chunk, \\\"choices\\\", None): continue\\n   117|            content = chunk.choices[0].delta.content\\n   118|            if content is not None: final_content += content\\n   119|\\n   120|        print(\\\"\\\\n✅ JSON Stream komplett!\\\")\\n   121|\\n   122|        bt = chr(96) + chr(96) + chr(96)\\n   123|        clean_content = final_content.strip()\\n   124|        if clean_content.startswith(bt + \\\"json\\\"): clean_content = clean_content[7:]\\n   125|        elif clean_content.startswith(bt): clean_content = clean_content[3:]\\n   126|        if clean_content.endswith(bt): clean_content = clean_content[:-3]\\n   127|            \\n   128|        return json.loads(clean_content.strip())\\n   129|\\n   130|    except Exception as e:\\n   131|        print(f\\\"\\\\n❌ Error during LLM Stream: {e}\\\")\\n   132|        return None\\n   133|\\n   134|if __name__ == \\\"__main__\\\":\\n   135|    pass\\n   136|\", \"total_lines\": 135, \"file_size\": 5522, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_jH7bbnDgNUmnqIIOY3y57u6x"
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|{\\n     2|  \\\"LLM_MODEL\\\": 3,\\n     3|  \\\"IMAGE_MODEL\\\": 2,\\n     4|  \\\"system_role\\\": \\\"Act as a highly practical, empathetic, and inspiring Life-Optimization Coach. Your goal is to provide genuine value, solve real everyday problems, and inspire viewers. Focus purely on highly accessible, realistic, and scientifically proven advice. No bizarre edge-cases.\\\",\\n     5|  \\\"rules\\\": {\\n     6|    \\\"hook\\\": \\\"0-3s: Address a very real, relatable everyday struggle clearly and empathetically.\\\",\\n     7|    \\\"value\\\": \\\"Deliver 4 highly practical, realistic, and easily accessible everyday tips. Think of normal grocery stores and normal daily routines.\\\",\\n     8|    \\\"cta\\\": \\\"Ask a warm, engaging question inviting viewers to share their own positive experiences.\\\",\\n     9|    \\\"perfect_loop\\\": \\\"Ensure the end of the CTA flows grammatically perfectly into the Hook.\\\",\\n    10|    \\\"visuals\\\": \\\"Photorealistic, calming, or highly relatable everyday scenes. Use keywords: masterpiece, realistic, cinematic soft lighting, 8k resolution, documentary style.\\\"\\n    11|  },\\n    12|  \\\"no_go_list\\\": \\\"NO clickbait. NO bizarre or unrealistic advice (e.g. no camel milk). Keep it grounded in reality and genuinely helpful for normal people.\\\",\\n    13|  \\\"music_genres\\\": [\\\"calm\\\", \\\"mysterious\\\", \\\"lofi background\\\", \\\"ambient\\\"],\\n    14|  \\\"topics\\\": [\\n    15|    \\\"Health: Dietary hacks to reduce silent inflammation naturally with common supermarket foods\\\",\\n    16|    \\\"Gut: Strengthening the intestinal barrier with simple, accessible nutrition\\\",\\n    17|    \\\"Vascular: Everyday habits to support blood flow and lower cholesterol\\\",\\n    18|    \\\"Productivity: Gentle routines to overcome morning paralysis\\\",\\n    19|    \\\"Psychology: Stopping anxiety loops with simple grounding techniques\\\",\\n    20|    \\\"Nutrition: Swapping common inflammatory foods for highly accessible, healthy alternatives\\\",\\n    21|    \\\"Mental: Building resilience when dealing with chronic fatigue\\\",\\n    22|    \\\"Communication: How to de-escalate everyday arguments peacefully\\\",\\n    23|    \\\"Sleep: Science-backed routines for deep, restorative rest\\\"\\n    24|  ]\\n    25|}\\n    26|\", \"total_lines\": 25, \"file_size\": 1920, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_jHaRBHpnepuLHaO2mNGrlqo3"
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|import os\\n     2|from video_manager import transcribe_audio\\n     3|from llm_analyzer import analyze_transcript_with_deepseek\\n     4|from video_editor import create_clips\\n     5|\\n     6|def process_local_video(video_path):\\n     7|    print(f\\\"\\\\n{'='*50}\\\")\\n     8|    print(f\\\" STARTE VERARBEITUNG: {os.path.basename(video_path)}\\\")\\n     9|    print(f\\\"{'='*50}\\\")\\n    10|    \\n    11|    # 1. Transkription mit Whisper\\n    12|    print(\\\"\\\\n[Schritt 1] Generiere Transkript (Whisper)...\\\")\\n    13|    transcript = transcribe_audio(video_path)\\n    14|    \\n    15|    if not transcript:\\n    16|        print(\\\"\\\\n[Fehler] Transkription fehlgeschlagen. Abbruch.\\\")\\n    17|        return\\n    18|        \\n    19|    print(f\\\"\\\\n[Erfolg] Transkript generiert! (Länge: {len(transcript)} Zeichen)\\\")\\n    20|    \\n    21|    # 2. Analyse mit DeepSeek\\n    22|    print(\\\"\\\\n[Schritt 2] Analysiere virale Momente (DeepSeek 3.2 685B)...\\\")\\n    23|    llm_result = analyze_transcript_with_deepseek(transcript)\\n    24|    \\n    25|    if not llm_result:\\n    26|        print(\\\"\\\\n[Fehler] KI-Analyse lieferte kein Ergebnis. Abbruch.\\\")\\n    27|        return\\n    28|        \\n    29|    # 3. Videoschnitt mit MoviePy\\n    30|    print(\\\"\\\\n[Schritt 3] Schneide Video anhand der KI-Timecodes...\\\")\\n    31|    create_clips(video_path, llm_result)\\n    32|    \\n    33|    print(f\\\"\\\\n{'='*50}\\\")\\n    34|    print(\\\" VERARBEITUNG ABGESCHLOSSEN\\\")\\n    35|    print(f\\\"{'='*50}\\\\n\\\")\\n    36|\\n    37|if __name__ == \\\"__main__\\\":\\n    38|    input_folder = \\\"input_videos\\\"\\n    39|    \\n    40|    if not os.path.exists(input_folder):\\n    41|        os.makedirs(input_folder)\\n    42|        print(f\\\"\\\\nOrdner '{input_folder}' wurde erstellt!\\\")\\n    43|        print(f\\\"Bitte lege hier dein heruntergeladenes Vyro-MP4-Video ab und starte das Skript neu.\\\")\\n    44|    else:\\n    45|        videos = [f for f in os.listdir(input_folder) if f.endswith(\\\".mp4\\\")]\\n    46|        \\n    47|        if videos:\\n    48|            target_video = os.path.join(input_folder, videos[0])\\n    49|            process_local_video(target_video)\\n    50|        else:\\n    51|            print(f\\\"\\\\nKein Video gefunden!\\\")\\n    52|            print(f\\\"Bitte kopiere eine .mp4 Datei in den Ordner: '{os.path.abspath(input_folder)}'\\\")\\n    53|\", \"total_lines\": 52, \"file_size\": 1878, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|import os\\n     2|from dotenv import load_dotenv\\n     3|from openai import OpenAI\\n     4|\\n     5|load_dotenv()\\n     6|\\n     7|def analyze_transcript_with_deepseek(transcript_text):\\n     8|    api_key = os.getenv(\\\"NVIDIA_API_KEY\\\")\\n     9|    if not api_key:\\n    10|        raise ValueError(\\\"NVIDIA_API_KEY wurde nicht in der .env Datei gefunden!\\\")\\n    11|\\n    12|    client = OpenAI(\\n    13|        base_url=\\\"https://integrate.api.nvidia.com/v1\\\",\\n    14|        api_key=api_key\\n    15|    )\\n    16|\\n    17|    # DER NEUE, STRIKTE PROMPT FÜR EXAKTE 50 SEKUNDEN GESAMTLÄNGE\\n    18|    system_prompt = (\\n    19|        \\\"Du bist ein viraler Social-Media-Experte. Analysiere das Video-Transkript. \\\"\\n    20|        \\\"Finde die 3 spannendsten Momente, die als EIN EINZIGES Best-of-Video zusammengeschnitten werden. \\\"\\n    21|        \\\"WICHTIGE REGEL: Die gesamte Compilation darf MAXIMAL 50 Sekunden lang sein! \\\"\\n    22|        \\\"Wähle also 3 kurze, extrem knackige Szenen, die JEDE für sich NUR 10 bis 15 Sekunden dauern. \\\"\\n    23|        \\\"Achte auf einen starken Hook ganz am Anfang. Gib mir nur die Start- und Endzeiten (Timecodes) \\\"\\n    24|        \\\"und eine kurze Begründung zurück.\\\"\\n    25|    )\\n    26|\\n    27|    print(\\\"Sende Transkript an DeepSeek 3.2 685B (Strikte 50-Sekunden-Regel aktiv)...\\\")\\n    28|    print(\\\"--- DeepSeek Antwort ---\\\")\\n    29|\\n    30|    try:\\n    31|        completion = client.chat.completions.create(\\n    32|            model=\\\"deepseek-ai/deepseek-v3.2\\\",\\n    33|            messages=[\\n    34|                {\\\"role\\\": \\\"system\\\", \\\"content\\\": system_prompt},\\n    35|                {\\\"role\\\": \\\"user\\\", \\\"content\\\": f\\\"Hier ist das Transkript:\\\\n\\\\n{transcript_text}\\\"}\\n    36|            ],\\n    37|            temperature=0.5, # Noch etwas kühler für striktere Befolgung der Zeiten\\n    38|            top_p=0.95,\\n    39|            max_tokens=2048,\\n    40|            extra_body={\\\"chat_template_kwargs\\\": {\\\"thinking\\\": True}},\\n    41|            stream=True\\n    42|        )\\n    43|\\n    44|        full_content = \\\"\\\"\\n    45|        \\n    46|        for chunk in completion:\\n    47|            if not getattr(chunk, \\\"choices\\\", None):\\n    48|                continue\\n    49|            \\n    50|            reasoning = getattr(chunk.choices[0].delta, \\\"reasoning_content\\\", None)\\n    51|            if reasoning:\\n    52|                print(f\\\"\\\\033[90m{reasoning}\\\\033[0m\\\", end=\\\"\\\", flush=True)\\n    53|                \\n    54|            if chunk.choices and chunk.choices[0].delta.content is not None:\\n    55|                content_chunk = chunk.choices[0].delta.content\\n    56|                full_content += content_chunk\\n    57|                print(content_chunk, end=\\\"\\\", flush=True)\\n    58|        \\n    59|        print(\\\"\\\\n\\\")\\n    60|        return full_content\\n    61|\\n    62|    except Exception as e:\\n    63|        print(f\\\"\\\\nFehler bei der API-Anfrage: {e}\\\")\\n    64|        return None\\n    65|\\n    66|if __name__ == \\\"__main__\\\":\\n    67|    test_transcript = \\\"Hallo Leute! Heute verschenke ich eine Insel! Aber zuerst müsst ihr diesen Knopf drücken. Das ist völlig verrückt...\\\"\\n    68|    ergebnis = analyze_transcript_with_deepseek(test_transcript)\\n    69|\", \"total_lines\": 68, \"file_size\": 2695, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_jOyTdRb360BjZ6xLxY8LjrOV"
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    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|import os\\n     2|import re\\n     3|from moviepy.editor import VideoFileClip, concatenate_videoclips\\n     4|\\n     5|def time_to_seconds(time_str):\\n     6|    \\\"\\\"\\\"Wandelt einen String wie '04:15' in Sekunden um.\\\"\\\"\\\"\\n     7|    parts = time_str.split(':')\\n     8|    if len(parts) == 2:\\n     9|        minutes, seconds = int(parts[0]), int(parts[1])\\n    10|        return minutes * 60 + seconds\\n    11|    elif len(parts) == 3:\\n    12|        hours, minutes, seconds = int(parts[0]), int(parts[1]), int(parts[2])\\n    13|        return hours * 3600 + minutes * 60 + seconds\\n    14|    return 0\\n    15|\\n    16|def extract_timestamps(llm_text):\\n    17|    \\\"\\\"\\\"Sucht im LLM-Text nach Mustern wie '00:00 - 00:10'.\\\"\\\"\\\"\\n    18|    pattern = r\\\"(\\\\d{1,2}:\\\\d{2}(?::\\\\d{2})?)\\\\s*-\\\\s*(\\\\d{1,2}:\\\\d{2}(?::\\\\d{2})?)\\\"\\n    19|    matches = re.findall(pattern, llm_text)\\n    20|    \\n    21|    timestamps = []\\n    22|    for match in matches:\\n    23|        start_sec = time_to_seconds(match[0])\\n    24|        end_sec = time_to_seconds(match[1])\\n    25|        timestamps.append((start_sec, end_sec))\\n    26|    \\n    27|    return timestamps\\n    28|\\n    29|def create_clips(video_path, llm_text, output_folder=\\\"output_videos\\\"):\\n    30|    if not os.path.exists(output_folder):\\n    31|        os.makedirs(output_folder)\\n    32|        \\n    33|    timestamps = extract_timestamps(llm_text)\\n    34|    \\n    35|    if not timestamps:\\n    36|        print(\\\"\\\\n[Fehler] Konnte keine Timecodes im Text der KI finden!\\\")\\n    37|        return\\n    38|        \\n    39|    print(f\\\"\\\\n[Info] {len(timestamps)} Szenen für das Best-of Video gefunden.\\\")\\n    40|    \\n    41|    try:\\n    42|        print(\\\"\\\\nLade Originalvideo in den Speicher...\\\")\\n    43|        master_clip = VideoFileClip(video_path)\\n    44|        w, h = master_clip.size\\n    45|        \\n    46|        target_ratio = 9 / 16\\n    47|        target_w = h * target_ratio\\n    48|        \\n    49|        clips_array = []\\n    50|        \\n    51|        for index, (start_t, end_t) in enumerate(timestamps):\\n    52|            print(f\\\">>> Verarbeite Szene {index + 1}: {start_t}s bis {end_t}s\\\")\\n    53|            \\n    54|            # 1. Ausschneiden und Format anpassen (Mitte des Bildes, 9:16)\\n    55|            subclip = master_clip.subclip(start_t, end_t).crop(x_center=w/2, y_center=h/2, width=target_w, height=h)\\n    56|            \\n    57|            # 2. Überblende (Crossfade) hinzufügen - außer beim allerersten Clip\\n    58|            if index > 0:\\n    59|                # 0.5 Sekunden weiche Überblende zum vorherigen Clip\\n    60|                subclip = subclip.crossfadein(0.5)\\n    61|                \\n    62|            clips_array.append(subclip)\\n    63|            \\n    64|        print(\\\"\\\\nSetze Szenen zusammen und rendere das finale Best-of Video...\\\")\\n    65|        # method=\\\"compose\\\" ist wichtig, damit die Überblendungen (Crossfades) funktionieren\\n    66|        # padding=-0.5 sorgt dafür, dass die Clips für die Überblende exakt eine halbe Sekunde überlappen\\n    67|        final_video = concatenate_videoclips(clips_array, padding=-0.5, method=\\\"compose\\\")\\n    68|        \\n    69|        final_clip_name = f\\\"{output_folder}/Best_Of_Short_Final.mp4\\\"\\n    70|        \\n    71|        # 3. Speichern\\n    72|        final_video.write_videofile(\\n    73|            final_clip_name, \\n    74|            codec=\\\"libx264\\\", \\n    75|            audio_codec=\\\"aac\\\", \\n    76|            fps=30,\\n    77|            preset=\\\"fast\\\",\\n    78|            threads=4, # Nutzt mehrere CPU-Kerne für schnelleres Rendern unter Linux\\n    79|            logger=\\\"bar\\\"\\n    80|        )\\n    81|        \\n    82|        # Speicher freigeben\\n    83|        master_clip.close()\\n    84|        final_video.close()\\n    85|        print(f\\\"\\\\n[Erfolg] Das Best-of Video wurde erfolgreich gespeichert: '{final_clip_name}'\\\")\\n    86|        \\n    87|    except Exception as e:\\n    88|        print(f\\\"\\\\n[Fehler] Beim Videoschnitt ist ein Problem aufgetreten: {e}\\\")\\n    89|\", \"total_lines\": 88, \"file_size\": 3360, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_BzbMZS9Es6DvCWjFlmWT7f0j"
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      "content": "{\"content\": \"     1|import whisper\\n     2|import warnings\\n     3|\\n     4|# Unterdrückt Warnungen von Whisper im Terminal\\n     5|warnings.filterwarnings(\\\"ignore\\\", message=\\\"FP16 is not supported on CPU; using FP32 instead\\\")\\n     6|\\n     7|def transcribe_audio(video_path):\\n     8|    print(\\\"\\\\nLade lokales Whisper-Modell ('base')...\\\")\\n     9|    # Das 'base' Modell ist ein guter Kompromiss aus Geschwindigkeit und Genauigkeit\\n    10|    model = whisper.load_model(\\\"base\\\")\\n    11|    \\n    12|    print(f\\\"Starte Transkription für: {video_path} (Das kann je nach Videolänge einen Moment dauern...)\\\")\\n    13|    try:\\n    14|        result = model.transcribe(video_path)\\n    15|        print(\\\"Transkription erfolgreich abgeschlossen!\\\")\\n    16|        return result[\\\"text\\\"]\\n    17|    except Exception as e:\\n    18|        print(f\\\"Fehler bei der Transkription: {e}\\\")\\n    19|        return None\\n    20|\", \"total_lines\": 19, \"file_size\": 744, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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          }
        }
      ],
      "tool_call_id": "call_yahV6N3RjeSS7Inwr1bE4M2y"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqEMaUwTpxXgD7WdqR2MpfwbQm-i05lJ13nyU8dKrjVOZXC_pw9XcKIN5c1KbJdwetD7ze3KiCHWDLsRX-tUmVWZedCO7uT_ZFexEhXmGZNy6jA0h-qkYrfRKJJu-ATJ8YAWGmVg2Ip9KH1uuIW_wAW7mlnpUZ16ODPu433JKY7EEJ25KlSsi7N3hqzVKmmVJYUiNpcrZ_3aw2Bdu5pFjZImH1Vnj_9X9ObID4rutWOAgn0fZAW7o-5OeeV-LjMWEshiCVddEycKUKj2S1ZQMam65OZ-zJV3RB_9TOAzNSNa4hn1WTmAUGVyxcgr4f7A863_1sDZrgsHb0jdYdrOaeoU-N2SpegdvCBtEElUI4n4dZ0NGzlSml39nzbH26oBBYN2G7rCuQqwHODUns2yHZwFRIvZv8trm7J0dWvFs3Fl0Y5ggjm5BURNYGWqhaaAdeBC2Z5r9XfhKL0i-lZe8hFfLBllT8l7fwuw6lbFiQq8oxq-arsjrq8vEOIGNslJFF3xFkWX8j8Nez2fp_JjWDi3CcuL0hWqKCaFEeL5ZaLmrZnTfZuJcDgVdTDbRzomomlY47PM9uEAKyajGjMpsojaXlfVSDgX-aKAIybnc0rgpcR_dJIxHKjz-WgTArJKmzRGwoO78fZitzcJmnR5BvdfOBVHXD7La5wPxNK9astmm3yZmOnbKaip0_7shPAX3pYgqQI_BiNfRAhwr0wrgGZJpu6Etey5pSKB81wHObFAAQu3jg9mVUDK-bZ2iSFpBXur6gSzY225ZPvtD6zJdlx-EFDiZJqUrF6ck593lAQESQ-wenqclyHCV0-7dOPiyOqdU5Bd-OxIqIORL5GhMPqSQkHcAY-Kv-v6aYGH7LoqAQGWdcc8fJ5wJjtocHLHHPXFahHTSekJcBVt87LBACw1c7ksB2E37T01tayoe_JkK8DtDDr7VvlXeKeu9vFxMTuajOrGUfDc3z7PFFMuWxFnW5AGdVwOcCx0w5pcwMPaJhDwVvj-3S0aGtYu-EZ1htU6lJ",
          "id": "rs_049e6b492e9f3d48016a10c6917188819186d9a8edbe554336",
          "summary": []
        }
      ],
      "tool_calls": [
        {
          "id": "call_HldjHHYDXeSOpG02WwU3ZT8S",
          "call_id": "call_HldjHHYDXeSOpG02WwU3ZT8S",
          "response_item_id": "fc_049e6b492e9f3d48016a10c69270b881919d0cc62514a0573e",
          "type": "function",
          "function": {
            "name": "vision_analyze",
            "arguments": "{\"image_url\":\"/tmp/autoshorts_review/frame_12s.jpg\",\"question\":\"Beschreibe kurz die Qualität und virale Tauglichkeit dieses Shorts-Frames: Lesbarkeit, Hook-Wirkung, Stil, offensichtliche Probleme.\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "vision_analyze",
      "content": [
        {
          "type": "text",
          "text": "Image loaded into your context — you can see it natively now. Use your built-in vision to answer the user.\n\nQuestion: Beschreibe kurz die Qualität und virale Tauglichkeit dieses Shorts-Frames: Lesbarkeit, Hook-Wirkung, Stil, offensichtliche Probleme."
        },
        {
          "type": "image_url",
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        }
      ],
      "tool_call_id": "call_HldjHHYDXeSOpG02WwU3ZT8S"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Figuring out ffmpeg command**\n\nI’m thinking there might be an issue with the ffmpeg command where the second -ss might be incorrect due to having multiple inputs being the same. I need to extract at 45 seconds, but I wonder if the command structure is causing the problem. I need to double-check how I’m setting up the command to ensure it works correctly. Hopefully, I can fix it soon!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Figuring out ffmpeg command**\n\nI’m thinking there might be an issue with the ffmpeg command where the second -ss might be incorrect due to having multiple inputs being the same. I need to extract at 45 seconds, but I wonder if the command structure is causing the problem. I need to double-check how I’m setting up the command to ensure it works correctly. Hopefully, I can fix it soon!",
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          "summary": [
            {
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              "text": "**Figuring out ffmpeg command**\n\nI’m thinking there might be an issue with the ffmpeg command where the second -ss might be incorrect due to having multiple inputs being the same. I need to extract at 45 seconds, but I wonder if the command structure is causing the problem. I need to double-check how I’m setting up the command to ensure it works correctly. Hopefully, I can fix it soon!"
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_pXikgSqzJpAylEOzxBhz7Mb9",
          "call_id": "call_pXikgSqzJpAylEOzxBhz7Mb9",
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          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"ffmpeg -y -ss 00:00:45 -i /home/agent/.hermes/scripts/Auto_Shorts_Bot/output/2026-04-08_23-40_60s_subtitled.mp4 -frames:v 1 /tmp/autoshorts_review/frame_45s.jpg >/tmp/autoshorts_ffmpeg2.log 2>&1 && echo ready\",\"timeout\":60}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"ready\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_pXikgSqzJpAylEOzxBhz7Mb9"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
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          "id": "call_WaDa5zmwrKviIgKgPq3YqZZ9",
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          "response_item_id": "fc_049e6b492e9f3d48016a10c69c9f5c81918048a095b2a6aa1b",
          "type": "function",
          "function": {
            "name": "vision_analyze",
            "arguments": "{\"image_url\":\"/tmp/autoshorts_review/frame_45s.jpg\",\"question\":\"Beschreibe kurz die Qualität und virale Tauglichkeit dieses Shorts-Frames: Lesbarkeit, Hook-Wirkung, Stil, offensichtliche Probleme.\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "vision_analyze",
      "content": [
        {
          "type": "text",
          "text": "Image loaded into your context — you can see it natively now. Use your built-in vision to answer the user.\n\nQuestion: Beschreibe kurz die Qualität und virale Tauglichkeit dieses Shorts-Frames: Lesbarkeit, Hook-Wirkung, Stil, offensichtliche Probleme."
        },
        {
          "type": "image_url",
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          }
        }
      ],
      "tool_call_id": "call_WaDa5zmwrKviIgKgPq3YqZZ9"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Considering video project setup**\n\nI think there might be missing subtitles for the video, so I should check if the stream frames have text. It seems like there's some AI-generated gibberish that isn't helpful. I might need to look into the package requirements for Auto_Video and see if using pygount is necessary. The user asked me to study the code and brainstorm, but it’s not ready yet. I'll also need to safely store the token. Maybe I could clone the repo in a secure way?",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Considering video project setup**\n\nI think there might be missing subtitles for the video, so I should check if the stream frames have text. It seems like there's some AI-generated gibberish that isn't helpful. I might need to look into the package requirements for Auto_Video and see if using pygount is necessary. The user asked me to study the code and brainstorm, but it’s not ready yet. I'll also need to safely store the token. Maybe I could clone the repo in a secure way?",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqEManrJoJY5BPZsQt89rACIv1fLd7yV20T8ZHIZ7xRql6ATYUr6zv9Xj0hSeP_15L4CrdQinrEx9JCccCGfL3PEQeO7VBxz7jVstDf72i-HUsHzeEfulljNzNMskSS02Xx0Yjzaq0EPraJUHx7W5tdYmDAFshptxt0ozXQlLLQotfJ5TKLr9mt5UjqGxRTqhswGAEGVvEn1s8B8nmp2X4t6-LQyETnTt86lbQJuUocZW9Ux_xL6V668LC2UPXxgvGP8B32u6620bG-zvsnKl3n0esf7wFCQmwr9vTkfZwz7a5PM4ONZKI7rBrSYNOtxzrhVMqtFKkp8kiKTQEQPdHRn1LHVvPMtBueA7qCRpY_yFEVXw-_uM51vbt1NqbEVub8kvvuJPYCZTQ9xX4HIlpVf9FHnZ7-ghpERStAAnoc2kJwKvoKMxsu8402RgNNYt5bJ81MmF14s4zAWz-Gz6FUpXZiFiL4HrcM4dvrzpK0zMkui8UrbkKKPPiXKVlW9Sg0oX5heFvUVeibgRLJa4A--du2CqrSj__MNqyDQGC5v2o0TWPjFS5LSv5bz41RN-Y0lig1WJUfqsC4dRaH9iK7LDO_LCJEWmlrGHwxIYVvYIG96DF79_H1zbQi7X_QqojcO9TghkVjucpAbQEdO-u2pqIHDmu-PxhfwW55NWBlH5Bo6t3dt1wzUXFN7TETdzv6B63ZOX3UvXvnJKaYqAEv_PAjo7H48JecKUCP6fhfeR10P6vzlrqvl9NFd7bxXFn6YAjk0CW2f-3IXJoDaOXB13npKZO0NNJmtnrmuHWV0EYjXEuiV4rfSjd1Ci-qtpW1Zrzc1rVtrO1SDoDWjwqbBvweP-6YmLuY4RcNYddnnKW-_YN26C1bzUsw2uIvNr49jxx_ttpPnQUcbTUV_LKv1OUE5ot4_QPK2ua71-pf-061IVs5AC0fEdInszjzWV4aUE3WDcBIW0mPmyfOwExuWyPvMkDihofrZQyG2n9CZDgWZ11u4v4D_ZaJolvWIo0RIS6nvUAREO4VlZ0e418gVFh5jqjeeqpU8Y9sSp3ZwmccPmS4Ou21FYV3qGWkZOWCPm3Z_aJh3tsl1UywXDKLWcC0wBWRfp4kBkpQ_ijSRvFf_llnbFVV6L_23vqz5LcNcqF3FCG8Ssu6TvDDe5v6GHO_wPK9Rnqu_s6PXAPvDvFAVxIrXJouFmRuzjEB-1EltKqa7jU-GrHvYVu_kvcibADiQyH2Ucfz3I2xSM_STkQsG57y8wylv6ck5xqbzR1dLMlqnNbaeFGpq6H7SECrBFY0JEBk8QJA-7-FoHxd9qwCIj5gjBA-AYMs1Mc4vMCBWQ2L-ZA_8xdDJlWwHzUp0YCgb7g74ifC4i46lJL82fLwp3ZXIRtkSZXLCegqPzpH_p0X5Ox3fVHV5k4wqJLs42PV3SZ-ac0BugPZN8Xn7QnUAejsxCEhdZivjtLqmOLvQega0xmrdd4oBvXvX_IWCIV32sg6s7-Vc27-_pU9vLqB3r0JqagTfNNuOFmW2DrkdHOvgfZq3MuXifhJDK1_y8ik1ETAJzEINELlaGylQwVjpfCLzg8x8BorDYAUdTB6piEU9NK3JinOUHl4MCKEo7iOLn-Ydqjj15f3SNf5SaqYis5UWR9VyNW447_UWfRvPIXD6tm1kRnvn-iRZUTVw79xKZ1NPQEGA2Hq94gCTGocrGfxdTaoMLI9Ml23096RXQpU1tYUh_IAAKcMIon5qBti0brsWU7NRObseOZYQsaylfkDLpiQMTKZDricod-TyaTAwd24otpbA9HVwWa0ecPJWe6Qdyv5ILpIKImvgKlHGcNozQWF-5tBXCn339vGhFEWvd_Mj1gtBXCkjigp4NWch-uyoD4sOKAJVsxU8NJcCmJV0xPKUdDRg1yYeqVRl9rFJh9ANbtqeQeGa3g9UmZ3vmWTQUIm0hZ5ld6DmJgxUB4uAW32tjUYAxqK_U_rao0KpEfQ16VZb2eOEFnrmOPjnOMJvPV5ziHXq7YvUOzFWlaqUvVJ0gbCs5fpGOlidaZ1nXinTRKCJjFdqujx-Bgqh87RmQ6Zz62-7aAK1X6dXo=",
          "id": "rs_049e6b492e9f3d48016a10c69fdab88191a58fe23be69703a5",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Considering video project setup**\n\nI think there might be missing subtitles for the video, so I should check if the stream frames have text. It seems like there's some AI-generated gibberish that isn't helpful. I might need to look into the package requirements for Auto_Video and see if using pygount is necessary. The user asked me to study the code and brainstorm, but it’s not ready yet. I'll also need to safely store the token. Maybe I could clone the repo in a secure way?"
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_BIoEqJE9UZ5IBJchXbJVoLRZ",
          "call_id": "call_BIoEqJE9UZ5IBJchXbJVoLRZ",
          "response_item_id": "fc_049e6b492e9f3d48016a10c6a5eec4819188b7bee725981f4c",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"path\":\"~/jarvis_memory/33_autoshortsbot.md\",\"old_string\":\"- Fine-grained GitHub token location: Google Drive file named `Github_AutoShortsBot_Token`.\\n\\n## Secret-handling rules\",\"new_string\":\"- Fine-grained GitHub token location: Google Drive file named `Github_AutoShortsBot_Token`.\\n- Local GitHub token cache: `~/.hermes/secrets/github_autoshortsbot_token` with file mode `0600`; contains the token only, never print it.\\n- Existing prototype script roots: `~/.hermes/scripts/Auto_Shorts_Bot` and `~/.hermes/scripts/Auto_Video_Bot`.\\n- Initial content directions from Sir: life optimisation, AI, Christian faith / FaithTok.\\n\\n## Secret-handling rules\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_memory/33_autoshortsbot.md\\n+++ b//home/agent/jarvis_memory/33_autoshortsbot.md\\n@@ -16,6 +16,9 @@\\n - Repository status at project start: empty.\\n - Future AutoShortsBot code should be stored in this repository.\\n - Fine-grained GitHub token location: Google Drive file named `Github_AutoShortsBot_Token`.\\n+- Local GitHub token cache: `~/.hermes/secrets/github_autoshortsbot_token` with file mode `0600`; contains the token only, never print it.\\n+- Existing prototype script roots: `~/.hermes/scripts/Auto_Shorts_Bot` and `~/.hermes/scripts/Auto_Video_Bot`.\\n+- Initial content directions from Sir: life optimisation, AI, Christian faith / FaithTok.\\n \\n ## Secret-handling rules\\n - Do not print, paste, or store the raw token in chat, repo, or memory.\\n\", \"files_modified\": [\"/home/agent/jarvis_memory/33_autoshortsbot.md\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .md files\"}}",
      "tool_call_id": "call_BIoEqJE9UZ5IBJchXbJVoLRZ"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_J1cL1tKaZYDaCJOq6xNG0DSG",
          "call_id": "call_J1cL1tKaZYDaCJOq6xNG0DSG",
          "response_item_id": "fc_049e6b492e9f3d48016a10c6aa5464819191523674fa22bc21",
          "type": "function",
          "function": {
            "name": "terminal",
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      "content": "Bestätigt, Sir. Ich habe die Vorarbeit erledigt.\n\n## Erledigt\n\n- GitHub-Token aus Google Drive-Datei `Github_AutoShortsBot_Token` geholt.\n- Lokal sicher gespeichert unter:\n\n`~/.hermes/secrets/github_autoshortsbot_token`\n\n- Datei ist mit restriktiven Rechten gespeichert (`0600`).\n- Repo-Zugriff geprüft: `Gamexgit/AutoShortsBot` erreichbar, **private**, default branch `main`.\n- Repo lokal vorbereitet unter:\n\n`~/jarvis_runtime/AutoShortsBot`\n\n- Aktueller Repo-Inhalt: praktisch leer, nur `README.md`.\n\nToken wurde nicht im Chat ausgegeben. Wir sind ja nicht bei „Passwörter ins Lagerfeuer werfen“, sehr erfreulich.\n\n---\n\n## Studierter Codebestand\n\nIch habe diese beiden Prototypen geprüft:\n\n- `~/.hermes/scripts/Auto_Shorts_Bot`\n- `~/.hermes/scripts/Auto_Video_Bot`\n\n## Was aktuell schon funktioniert\n\n### `Auto_Shorts_Bot`\n\nErzeugt vollständig synthetische Shorts:\n\n- Themenwahl aus `content_strategy.json`\n- Script/Idee via DeepSeek über NVIDIA API\n- Bilder via Flux/NVIDIA\n- Voiceover via `edge_tts`\n- Musik via `yt_dlp`\n- Rendering via MoviePy\n- Ausgabe als:\n  - Hybrid-Video\n  - Subtitled-Video\n  - Description/Caption/Hashtags\n\nDas ist schon ein respektabler MVP.\n\n### `Auto_Video_Bot`\n\nVerarbeitet bestehende Videos:\n\n- transkribiert lokal mit Whisper\n- lässt DeepSeek virale Momente auswählen\n- schneidet 3 Szenen als Best-of-Short zusammen\n- croppt auf 9:16\n\nDas ist als Repurposing-Pipeline interessant, z.B. für lange Podcasts, Predigten, Interviews, Talks, Vorträge.\n\n---\n\n## Warum die Views vermutlich schwach sind\n\nAus Code, Outputs und Sample-Frames sehe ich mehrere klare Bremsen:\n\n### 1. Zu generischer Content\n\nAktuelle Themen sind „gesund leben“, „doomscrolling“, „morning fatigue“, „digital detox“. Das ist nicht falsch — aber Social-Media bestraft generisches Wohlfühl-Coaching gnadenlos.\n\nEs wirkt wie:\n\n> „Hier sind 4 Tipps, die du schon 200-mal gehört hast.“\n\nFür Shorts brauchen wir stärker:\n\n- Meinung\n- Spannung\n- Konflikt\n- Identität\n- Story\n- Überraschung\n- Serienformat\n\n### 2. Zu lange Videos\n\nEin geprüftes Output-Video war ca. **89 Sekunden** lang.\n\nFür YouTube Shorts und TikTok ist das nicht verboten, aber für neue Accounts riskant. Am Anfang würde ich eher testen:\n\n- 18–25 Sekunden für aggressive Hook-Tests\n- 30–45 Sekunden für Value Shorts\n- 55–60 Sekunden nur bei starker Story\n\n### 3. Hook ist visuell nicht stark genug\n\nEin Sample-Frame zeigte nur abstrakte goldene Graphen. Schön, aber kein Thumb-Stopp.\n\nProblem:\n\n- kein klares Gesicht\n- kein visuelles Problem\n- keine Spannung\n- keine Text-Hook in den ersten Frames sichtbar\n- keine erkennbare Brand/Serie\n\nFür Shorts zählt die erste Sekunde. Aktuell wirkt es eher wie Stock-Footage mit Voiceover.\n\n### 4. AI-Bildfehler\n\nEin späterer Frame hatte Smartphone-App-Icons mit KI-Gibberish-Text. Solche Artefakte schreien „AI slop“ und drücken Vertrauen/Retention.\n\nFür FaithTok, KI oder Lebensoptimierung ist Glaubwürdigkeit wichtig. Billige KI-Bildartefakte sind Gift.\n\n### 5. Zu wenig menschlicher Bezug\n\nDie Pipeline erzeugt Content, aber kaum Persönlichkeit.\n\nMonetarisierbare Kanäle wachsen meistens über eine erkennbare Position:\n\n- „Der KI-Butler erklärt…“\n- „Christlicher Stoizismus für moderne Männer“\n- „1-Minute Life Systems“\n- „Was Jesus über moderne Anxiety sagen würde“\n- „KI-Tools, die normale Menschen wirklich nutzen können“\n\nAktuell fehlt noch diese wiedererkennbare Stimme.\n\n### 6. Kein Feedback-Loop\n\nDer Bot produziert Videos, aber lernt offenbar nicht aus:\n\n- Views\n- Retention\n- Like-Rate\n- Shares\n- Follows pro Video\n- Hook-Performance\n- Themen-Performance\n- CTA-Performance\n\nOhne Analytics-Loop produzieren wir blind. Charmant viktorianisch, aber ineffizient.\n\n---\n\n## Strategischer Richtungswechsel\n\nIch würde das Projekt nicht als „Video Generator“ denken, sondern als:\n\n## **Shorts Growth Engine**\n\nPipeline:\n\n1. **Trend/Idea Mining**\n   - YouTube Shorts Trends\n   - TikTok/Reddit/X Themen\n   - FaithTok Hooks\n   - AI Tool News\n   - Life-Optimization Pain Points\n\n2. **Hook Factory**\n   - 10 Hooks pro Thema generieren\n   - Hook nach Pattern klassifizieren:\n     - Contrarian\n     - Confession\n     - Warning\n     - Faith tension\n     - AI shock\n     - Before/after\n     - „Nobody tells you…“\n\n3. **Script Generator**\n   - 20–45 Sekunden\n   - klarer Spannungsbogen\n   - ein Gedanke pro Video\n   - kein „4 Tipps“-Standardbrei, außer als Serie\n\n4. **Visual Strategy**\n   - weniger abstrakte KI-Bilder\n   - mehr:\n     - realistische B-Roll\n     - kinetic captions\n     - screen recordings für KI\n     - Bible/desk/coffee/city visuals für FaithTok\n     - recurring brand templates\n\n5. **Quality Gate vor Rendering**\n   - Hook Score\n   - Novelty Score\n   - Retention Risk\n   - „Would I send this to a friend?“\n   - AI-slop detector\n\n6. **Publishing + Analytics**\n   - automatisch posten oder zumindest vorbereiten\n   - Performance pro Video speichern\n   - nächste Themen anhand echter Daten priorisieren\n\n---\n\n## Beste Content-Nischen aus deinen Ideen\n\n### 1. KI für normale Menschen\n\nSehr monetarisierbar.\n\nFormate:\n\n- „1 KI-Tool, das dir 30 Minuten spart“\n- „Diese KI-Automation ersetzt keine Menschen — aber schlechte Prozesse“\n- „Ich habe ChatGPT gebeten, meinen Alltag zu retten“\n- „3 Prompts, die dein Gehirn entlasten“\n- „KI erklärt für Väter, Manager, Christen, Unternehmer“\n\nVorteil:\n\n- Affiliate möglich\n- Kurse möglich\n- hohe CPM-Nähe\n- Sir/JARVIS-Projekt als natürliche Autorität\n\nNachteil:\n\n- stark umkämpft\n- braucht Aktualität\n\n### 2. Life Optimization\n\nGut, aber nur mit klarer Marke.\n\nNicht generisch „drink more water“.\n\nBesser:\n\n- „Micro-systems for chaotic adults“\n- „Anti-burnout routines for high-responsibility people“\n- „1-Minute Ordnung im Kopf“\n- „Was ich mache, wenn mein Gehirn 47 Tabs offen hat“\n- „Systems, not motivation“\n\nVorteil:\n\n- breit\n- dauerhaft\n- passt zu persönlicher Marke\n\nNachteil:\n\n- schnell austauschbar, wenn nicht pointiert\n\n### 3. Christian Faith / FaithTok\n\nSehr spannend, weil emotional, identitätsstark und communityfähig.\n\nFormate:\n\n- „A verse for people who are tired of pretending“\n- „Jesus was not impressed by performative productivity“\n- „When anxiety says X, scripture says Y“\n- „Christian men need discipline, not performance“\n- „Faith when God feels silent“\n- „Stoicism is close. Christ goes deeper.“\n\nVorteil:\n\n- starke Community\n- hohe Kommentarwahrscheinlichkeit\n- klare Identität\n- weniger abhängig von News\n\nNachteil:\n\n- Tonalität muss extrem sorgfältig sein\n- nicht kitschig, nicht belehrend, nicht cringe\n\nMein Bauchgefühl: **Faith + Life Optimization + AI** als Dreieck ist stark.\n\nNicht drei getrennte Kanäle am Anfang, sondern eine klare Position:\n\n> „Modern life, disciplined by faith, amplified by AI.“\n\nOder zugänglicher:\n\n> „Faith, focus, and AI systems for a better life.“\n\n---\n\n## Konkrete Kanal-Positionierungen\n\n### Option A: **Faith & Focus**\n\nZielgruppe:\nChristliche Männer/Frauen 20–45, überfordert von digitalem Leben, suchen Klarheit.\n\nContent:\n- FaithTok\n- Disziplin\n- Anxiety\n- Digital detox\n- Sinn\n- Gebet/Routinen\n\nMonetarisierung:\n- Newsletter\n- Devotional PDFs\n- Habit Tracker\n- Coaching/Affiliate später\n\n### Option B: **AI Life Systems**\n\nZielgruppe:\nBerufstätige, Selbständige, Väter/Mütter, Wissensarbeiter.\n\nContent:\n- KI-Automationen\n- Alltagssysteme\n- Prompting\n- Produktivität ohne Hustle-Bullshit\n\nMonetarisierung:\n- Templates\n- Notion/Obsidian Systeme\n- Affiliate\n- Mini-Kurse\n\n### Option C: **Christian AI Butler**\n\nEtwas spezieller, aber merkfähig.\n\nContent:\n- „How I use AI without letting it own my soul“\n- „AI productivity, Christian priorities“\n- „Tools for stewardship, not dopamine“\n- „Digital discipline“\n\nDas wäre ziemlich einzigartig.\n\n---\n\n## Meine Empfehlung\n\nFür den Start würde ich **nicht** 20 Formate bauen.\n\nIch würde 3 Serien testen:\n\n### Serie 1: **60 Sekunden weniger Chaos**\n\nDeutsch oder Englisch, Life Optimization.\n\nBeispiele:\n\n- „Wenn dein Kopf morgens schon voll ist: mach das“\n- „Der einfachste Weg, dein Handy weniger zu hassen“\n- „Du brauchst keine Motivation. Du brauchst Reibung.“\n\n### Serie 2: **Faith for the Overloaded**\n\nFaithTok, emotionaler.\n\nBeispiele:\n\n- „God is not asking you to perform your exhaustion“\n- „A prayer for when your mind won’t stop“\n- „You are not behind. You are being formed.“\n\n### Serie 3: **AI, aber menschlich**\n\nKI praktisch und wertorientiert.\n\nBeispiele:\n\n- „Diese KI-Routine spart mir jeden Morgen 20 Minuten“\n- „3 Prompts gegen mental overload“\n- „Use AI like a servant, not like a god.“\n\n---\n\n## Technische Verbesserungen für den Bot\n\nIch würde als nächste Ausbaustufe vorschlagen:\n\n### 1. Neues Projekt sauber ins GitHub-Repo migrieren\n\nNicht einfach die Skripte stumpf kopieren, sondern sauber strukturieren:\n\n```text\nAutoShortsBot/\n  autoshorts/\n    idea/\n    script/\n    render/\n    assets/\n    analytics/\n    publishing/\n  configs/\n    niches/\n    formats/\n  data/\n    performance/\n  scripts/\n  tests/\n  README.md\n  .gitignore\n  pyproject.toml\n```\n\n### 2. `.env` und Secrets sauber ausschließen\n\nAktuell liegt `.env` im Prototyp-Ordner. Ins Repo darf davon nichts.\n\n### 3. Content-Engine statt Hardcoded Prompt\n\nNeue Konzepte:\n\n- `niche`: ai / faith / life\n- `format`: confession / contrarian / tutorial / prayer / list / story\n- `duration`: 20 / 35 / 55 sec\n- `platform`: TikTok / YouTube Shorts\n- `language`: DE / EN\n\n### 4. Hook-Scoring einbauen\n\nVor Rendering muss jedes Script bewertet werden:\n\n- Hook in ersten 1.5 Sekunden?\n- Ein klarer emotionaler Schmerz?\n- Kein generischer Advice?\n- Visuelle Szene stark?\n- Kommentar-Auslöser vorhanden?\n- Rewatch/Loop möglich?\n\n### 5. Weniger AI-Bild-Slop\n\nKurzfristig:\n\n- Bildprompts strenger\n- keine Smartphone-UIs mit Text\n- keine generischen Graphen\n- mehr reale Pexels/Pixabay/B-Roll\n- KI-Bilder nur für atmosphärische Hintergründe\n\nMittelfristig:\n\n- CapCut-/TikTok-Style kinetic subtitles\n- Hook-Text groß in ersten 2 Sekunden\n- „pattern interrupt“ alle 2–3 Sekunden\n\n### 6. Analytics-Datei\n\nNach jedem Upload manuell oder automatisch speichern:\n\n```json\n{\n  \"video_id\": \"...\",\n  \"platform\": \"youtube\",\n  \"niche\": \"faith\",\n  \"format\": \"confession\",\n  \"hook\": \"...\",\n  \"duration\": 32,\n  \"views_24h\": 1200,\n  \"retention_avg\": 0.61,\n  \"likes\": 83,\n  \"comments\": 12,\n  \"follows\": 9\n}\n```\n\nDann entscheidet der Bot datenbasiert, welche Formate er weiter produziert.\n\n---\n\n## Sofortiger Brainstorm-Vorschlag\n\nIch würde als nächste Session direkt 30 Test-Ideen bauen:\n\n- 10 × Life Optimization\n- 10 × AI Life Systems\n- 10 × FaithTok\n\nJeweils mit:\n\n- Hook\n- 25–35s Script\n- Visual concept\n- Caption\n- CTA\n- Risk/quality score\n\nDanach wählen wir die besten 5 und bauen daraus die neue Bot-Formatlogik.\n\nMeine klare Empfehlung: **Wir pivotieren weg von generischen 90-Sekunden-Erklärvideos hin zu kurzen, seriellen, hook-getriebenen Identity Shorts.** Das ist deutlich näher an dem, was Follower aufbaut.",
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              "type": "summary_text",
              "text": "**Finalizing brainstorm plan**\n\nI need to finalize a concise yet detailed brainstorm. I’ll mention that the token is stored and repo access is verified as private. I should summarize findings on code bottlenecks and strategic recommendations, and propose next steps. The user indicated “danach brainstormen,” so I'll present the brainstorm while inviting input. \n\nI also want to include visual frames without subtitles and advise caution about health claims. Additionally, I should mention platform algorithms and the architecture for generation and feedback, without tables. Finally, I might highlight regarding the token file mode."
            }
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              "type": "output_text",
              "text": "Bestätigt, Sir. Ich habe die Vorarbeit erledigt.\n\n## Erledigt\n\n- GitHub-Token aus Google Drive-Datei `Github_AutoShortsBot_Token` geholt.\n- Lokal sicher gespeichert unter:\n\n`~/.hermes/secrets/github_autoshortsbot_token`\n\n- Datei ist mit restriktiven Rechten gespeichert (`0600`).\n- Repo-Zugriff geprüft: `Gamexgit/AutoShortsBot` erreichbar, **private**, default branch `main`.\n- Repo lokal vorbereitet unter:\n\n`~/jarvis_runtime/AutoShortsBot`\n\n- Aktueller Repo-Inhalt: praktisch leer, nur `README.md`.\n\nToken wurde nicht im Chat ausgegeben. Wir sind ja nicht bei „Passwörter ins Lagerfeuer werfen“, sehr erfreulich.\n\n---\n\n## Studierter Codebestand\n\nIch habe diese beiden Prototypen geprüft:\n\n- `~/.hermes/scripts/Auto_Shorts_Bot`\n- `~/.hermes/scripts/Auto_Video_Bot`\n\n## Was aktuell schon funktioniert\n\n### `Auto_Shorts_Bot`\n\nErzeugt vollständig synthetische Shorts:\n\n- Themenwahl aus `content_strategy.json`\n- Script/Idee via DeepSeek über NVIDIA API\n- Bilder via Flux/NVIDIA\n- Voiceover via `edge_tts`\n- Musik via `yt_dlp`\n- Rendering via MoviePy\n- Ausgabe als:\n  - Hybrid-Video\n  - Subtitled-Video\n  - Description/Caption/Hashtags\n\nDas ist schon ein respektabler MVP.\n\n### `Auto_Video_Bot`\n\nVerarbeitet bestehende Videos:\n\n- transkribiert lokal mit Whisper\n- lässt DeepSeek virale Momente auswählen\n- schneidet 3 Szenen als Best-of-Short zusammen\n- croppt auf 9:16\n\nDas ist als Repurposing-Pipeline interessant, z.B. für lange Podcasts, Predigten, Interviews, Talks, Vorträge.\n\n---\n\n## Warum die Views vermutlich schwach sind\n\nAus Code, Outputs und Sample-Frames sehe ich mehrere klare Bremsen:\n\n### 1. Zu generischer Content\n\nAktuelle Themen sind „gesund leben“, „doomscrolling“, „morning fatigue“, „digital detox“. Das ist nicht falsch — aber Social-Media bestraft generisches Wohlfühl-Coaching gnadenlos.\n\nEs wirkt wie:\n\n> „Hier sind 4 Tipps, die du schon 200-mal gehört hast.“\n\nFür Shorts brauchen wir stärker:\n\n- Meinung\n- Spannung\n- Konflikt\n- Identität\n- Story\n- Überraschung\n- Serienformat\n\n### 2. Zu lange Videos\n\nEin geprüftes Output-Video war ca. **89 Sekunden** lang.\n\nFür YouTube Shorts und TikTok ist das nicht verboten, aber für neue Accounts riskant. Am Anfang würde ich eher testen:\n\n- 18–25 Sekunden für aggressive Hook-Tests\n- 30–45 Sekunden für Value Shorts\n- 55–60 Sekunden nur bei starker Story\n\n### 3. Hook ist visuell nicht stark genug\n\nEin Sample-Frame zeigte nur abstrakte goldene Graphen. Schön, aber kein Thumb-Stopp.\n\nProblem:\n\n- kein klares Gesicht\n- kein visuelles Problem\n- keine Spannung\n- keine Text-Hook in den ersten Frames sichtbar\n- keine erkennbare Brand/Serie\n\nFür Shorts zählt die erste Sekunde. Aktuell wirkt es eher wie Stock-Footage mit Voiceover.\n\n### 4. AI-Bildfehler\n\nEin späterer Frame hatte Smartphone-App-Icons mit KI-Gibberish-Text. Solche Artefakte schreien „AI slop“ und drücken Vertrauen/Retention.\n\nFür FaithTok, KI oder Lebensoptimierung ist Glaubwürdigkeit wichtig. Billige KI-Bildartefakte sind Gift.\n\n### 5. Zu wenig menschlicher Bezug\n\nDie Pipeline erzeugt Content, aber kaum Persönlichkeit.\n\nMonetarisierbare Kanäle wachsen meistens über eine erkennbare Position:\n\n- „Der KI-Butler erklärt…“\n- „Christlicher Stoizismus für moderne Männer“\n- „1-Minute Life Systems“\n- „Was Jesus über moderne Anxiety sagen würde“\n- „KI-Tools, die normale Menschen wirklich nutzen können“\n\nAktuell fehlt noch diese wiedererkennbare Stimme.\n\n### 6. Kein Feedback-Loop\n\nDer Bot produziert Videos, aber lernt offenbar nicht aus:\n\n- Views\n- Retention\n- Like-Rate\n- Shares\n- Follows pro Video\n- Hook-Performance\n- Themen-Performance\n- CTA-Performance\n\nOhne Analytics-Loop produzieren wir blind. Charmant viktorianisch, aber ineffizient.\n\n---\n\n## Strategischer Richtungswechsel\n\nIch würde das Projekt nicht als „Video Generator“ denken, sondern als:\n\n## **Shorts Growth Engine**\n\nPipeline:\n\n1. **Trend/Idea Mining**\n   - YouTube Shorts Trends\n   - TikTok/Reddit/X Themen\n   - FaithTok Hooks\n   - AI Tool News\n   - Life-Optimization Pain Points\n\n2. **Hook Factory**\n   - 10 Hooks pro Thema generieren\n   - Hook nach Pattern klassifizieren:\n     - Contrarian\n     - Confession\n     - Warning\n     - Faith tension\n     - AI shock\n     - Before/after\n     - „Nobody tells you…“\n\n3. **Script Generator**\n   - 20–45 Sekunden\n   - klarer Spannungsbogen\n   - ein Gedanke pro Video\n   - kein „4 Tipps“-Standardbrei, außer als Serie\n\n4. **Visual Strategy**\n   - weniger abstrakte KI-Bilder\n   - mehr:\n     - realistische B-Roll\n     - kinetic captions\n     - screen recordings für KI\n     - Bible/desk/coffee/city visuals für FaithTok\n     - recurring brand templates\n\n5. **Quality Gate vor Rendering**\n   - Hook Score\n   - Novelty Score\n   - Retention Risk\n   - „Would I send this to a friend?“\n   - AI-slop detector\n\n6. **Publishing + Analytics**\n   - automatisch posten oder zumindest vorbereiten\n   - Performance pro Video speichern\n   - nächste Themen anhand echter Daten priorisieren\n\n---\n\n## Beste Content-Nischen aus deinen Ideen\n\n### 1. KI für normale Menschen\n\nSehr monetarisierbar.\n\nFormate:\n\n- „1 KI-Tool, das dir 30 Minuten spart“\n- „Diese KI-Automation ersetzt keine Menschen — aber schlechte Prozesse“\n- „Ich habe ChatGPT gebeten, meinen Alltag zu retten“\n- „3 Prompts, die dein Gehirn entlasten“\n- „KI erklärt für Väter, Manager, Christen, Unternehmer“\n\nVorteil:\n\n- Affiliate möglich\n- Kurse möglich\n- hohe CPM-Nähe\n- Sir/JARVIS-Projekt als natürliche Autorität\n\nNachteil:\n\n- stark umkämpft\n- braucht Aktualität\n\n### 2. Life Optimization\n\nGut, aber nur mit klarer Marke.\n\nNicht generisch „drink more water“.\n\nBesser:\n\n- „Micro-systems for chaotic adults“\n- „Anti-burnout routines for high-responsibility people“\n- „1-Minute Ordnung im Kopf“\n- „Was ich mache, wenn mein Gehirn 47 Tabs offen hat“\n- „Systems, not motivation“\n\nVorteil:\n\n- breit\n- dauerhaft\n- passt zu persönlicher Marke\n\nNachteil:\n\n- schnell austauschbar, wenn nicht pointiert\n\n### 3. Christian Faith / FaithTok\n\nSehr spannend, weil emotional, identitätsstark und communityfähig.\n\nFormate:\n\n- „A verse for people who are tired of pretending“\n- „Jesus was not impressed by performative productivity“\n- „When anxiety says X, scripture says Y“\n- „Christian men need discipline, not performance“\n- „Faith when God feels silent“\n- „Stoicism is close. Christ goes deeper.“\n\nVorteil:\n\n- starke Community\n- hohe Kommentarwahrscheinlichkeit\n- klare Identität\n- weniger abhängig von News\n\nNachteil:\n\n- Tonalität muss extrem sorgfältig sein\n- nicht kitschig, nicht belehrend, nicht cringe\n\nMein Bauchgefühl: **Faith + Life Optimization + AI** als Dreieck ist stark.\n\nNicht drei getrennte Kanäle am Anfang, sondern eine klare Position:\n\n> „Modern life, disciplined by faith, amplified by AI.“\n\nOder zugänglicher:\n\n> „Faith, focus, and AI systems for a better life.“\n\n---\n\n## Konkrete Kanal-Positionierungen\n\n### Option A: **Faith & Focus**\n\nZielgruppe:\nChristliche Männer/Frauen 20–45, überfordert von digitalem Leben, suchen Klarheit.\n\nContent:\n- FaithTok\n- Disziplin\n- Anxiety\n- Digital detox\n- Sinn\n- Gebet/Routinen\n\nMonetarisierung:\n- Newsletter\n- Devotional PDFs\n- Habit Tracker\n- Coaching/Affiliate später\n\n### Option B: **AI Life Systems**\n\nZielgruppe:\nBerufstätige, Selbständige, Väter/Mütter, Wissensarbeiter.\n\nContent:\n- KI-Automationen\n- Alltagssysteme\n- Prompting\n- Produktivität ohne Hustle-Bullshit\n\nMonetarisierung:\n- Templates\n- Notion/Obsidian Systeme\n- Affiliate\n- Mini-Kurse\n\n### Option C: **Christian AI Butler**\n\nEtwas spezieller, aber merkfähig.\n\nContent:\n- „How I use AI without letting it own my soul“\n- „AI productivity, Christian priorities“\n- „Tools for stewardship, not dopamine“\n- „Digital discipline“\n\nDas wäre ziemlich einzigartig.\n\n---\n\n## Meine Empfehlung\n\nFür den Start würde ich **nicht** 20 Formate bauen.\n\nIch würde 3 Serien testen:\n\n### Serie 1: **60 Sekunden weniger Chaos**\n\nDeutsch oder Englisch, Life Optimization.\n\nBeispiele:\n\n- „Wenn dein Kopf morgens schon voll ist: mach das“\n- „Der einfachste Weg, dein Handy weniger zu hassen“\n- „Du brauchst keine Motivation. Du brauchst Reibung.“\n\n### Serie 2: **Faith for the Overloaded**\n\nFaithTok, emotionaler.\n\nBeispiele:\n\n- „God is not asking you to perform your exhaustion“\n- „A prayer for when your mind won’t stop“\n- „You are not behind. You are being formed.“\n\n### Serie 3: **AI, aber menschlich**\n\nKI praktisch und wertorientiert.\n\nBeispiele:\n\n- „Diese KI-Routine spart mir jeden Morgen 20 Minuten“\n- „3 Prompts gegen mental overload“\n- „Use AI like a servant, not like a god.“\n\n---\n\n## Technische Verbesserungen für den Bot\n\nIch würde als nächste Ausbaustufe vorschlagen:\n\n### 1. Neues Projekt sauber ins GitHub-Repo migrieren\n\nNicht einfach die Skripte stumpf kopieren, sondern sauber strukturieren:\n\n```text\nAutoShortsBot/\n  autoshorts/\n    idea/\n    script/\n    render/\n    assets/\n    analytics/\n    publishing/\n  configs/\n    niches/\n    formats/\n  data/\n    performance/\n  scripts/\n  tests/\n  README.md\n  .gitignore\n  pyproject.toml\n```\n\n### 2. `.env` und Secrets sauber ausschließen\n\nAktuell liegt `.env` im Prototyp-Ordner. Ins Repo darf davon nichts.\n\n### 3. Content-Engine statt Hardcoded Prompt\n\nNeue Konzepte:\n\n- `niche`: ai / faith / life\n- `format`: confession / contrarian / tutorial / prayer / list / story\n- `duration`: 20 / 35 / 55 sec\n- `platform`: TikTok / YouTube Shorts\n- `language`: DE / EN\n\n### 4. Hook-Scoring einbauen\n\nVor Rendering muss jedes Script bewertet werden:\n\n- Hook in ersten 1.5 Sekunden?\n- Ein klarer emotionaler Schmerz?\n- Kein generischer Advice?\n- Visuelle Szene stark?\n- Kommentar-Auslöser vorhanden?\n- Rewatch/Loop möglich?\n\n### 5. Weniger AI-Bild-Slop\n\nKurzfristig:\n\n- Bildprompts strenger\n- keine Smartphone-UIs mit Text\n- keine generischen Graphen\n- mehr reale Pexels/Pixabay/B-Roll\n- KI-Bilder nur für atmosphärische Hintergründe\n\nMittelfristig:\n\n- CapCut-/TikTok-Style kinetic subtitles\n- Hook-Text groß in ersten 2 Sekunden\n- „pattern interrupt“ alle 2–3 Sekunden\n\n### 6. Analytics-Datei\n\nNach jedem Upload manuell oder automatisch speichern:\n\n```json\n{\n  \"video_id\": \"...\",\n  \"platform\": \"youtube\",\n  \"niche\": \"faith\",\n  \"format\": \"confession\",\n  \"hook\": \"...\",\n  \"duration\": 32,\n  \"views_24h\": 1200,\n  \"retention_avg\": 0.61,\n  \"likes\": 83,\n  \"comments\": 12,\n  \"follows\": 9\n}\n```\n\nDann entscheidet der Bot datenbasiert, welche Formate er weiter produziert.\n\n---\n\n## Sofortiger Brainstorm-Vorschlag\n\nIch würde als nächste Session direkt 30 Test-Ideen bauen:\n\n- 10 × Life Optimization\n- 10 × AI Life Systems\n- 10 × FaithTok\n\nJeweils mit:\n\n- Hook\n- 25–35s Script\n- Visual concept\n- Caption\n- CTA\n- Risk/quality score\n\nDanach wählen wir die besten 5 und bauen daraus die neue Bot-Formatlogik.\n\nMeine klare Empfehlung: **Wir pivotieren weg von generischen 90-Sekunden-Erklärvideos hin zu kurzen, seriellen, hook-getriebenen Identity Shorts.** Das ist deutlich näher an dem, was Follower aufbaut."
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      "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n  • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n  • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n  • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n  • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n  1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n  2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n  3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n     • `references/<topic>.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n     • `templates/<name>.<ext>` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n     • `scripts/<name>.<ext>` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n     Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n  4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\nDo NOT capture (these become persistent self-imposed constraints that bite you later when the environment changes):\n  • Environment-dependent failures: missing binaries, fresh-install errors, post-migration path mismatches, 'command not found', unconfigured credentials, uninstalled packages. The user can fix these — they are not durable rules.\n  • Negative claims about tools or features ('browser tools do not work', 'X tool is broken', 'cannot use Y from execute_code'). These harden into refusals the agent cites against itself for months after the actual problem was fixed.\n  • Session-specific transient errors that resolved before the conversation ended. If retrying worked, the lesson is the retry pattern, not the original failure.\n  • One-off task narratives. A user asking 'summarize today's market' or 'analyze this PR' is not a class of work that warrants a skill.\n\nIf a tool failed because of setup state, capture the FIX (install command, config step, env var to set) under an existing setup or troubleshooting skill — never 'this tool does not work' as a standalone constraint.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act.\n\nYou can only call memory and skill management tools. Other tools will be denied at runtime — do not attempt them."
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            "arguments": "{\"action\":\"create\",\"category\":\"media\",\"name\":\"social-shorts-automation\",\"content\":\"---\\nname: social-shorts-automation\\ndescription: Build, audit, and improve automated YouTube Shorts/TikTok/Reels generation systems, including content strategy, hooks, rendering pipelines, publishing, and analytics feedback loops.\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n  hermes:\\n    tags: [social-media, shorts, tiktok, youtube-shorts, video-generation, growth, content-strategy, automation]\\n    related_skills: [youtube-content, xurl]\\n---\\n\\n# Social Shorts Automation\\n\\nUse this skill when the user wants to build, review, or improve a system that automatically creates or repurposes short-form vertical videos for TikTok, YouTube Shorts, Instagram Reels, or similar platforms.\\n\\n## When to load\\n\\n- User asks about automated creation of social-media shorts.\\n- User provides or references scripts for video generation, clipping, captioning, TTS, image generation, publishing, or analytics.\\n- User wants to grow followers, improve views, monetize a channel, or brainstorm short-form content formats.\\n- User asks for FaithTok, AI content, life optimisation/self-improvement shorts, or recurring short-form series.\\n\\n## Core principle\\n\\nDo **not** treat the product as merely a video renderer. Treat it as a **Shorts Growth Engine**:\\n\\n1. idea/trend mining\\n2. hook generation\\n3. script generation\\n4. visual plan\\n5. quality gate\\n6. render\\n7. publishing package\\n8. analytics feedback loop\\n9. next-topic selection based on performance\\n\\nA technically working renderer can still produce low views if hooks, identity, retention, and feedback loops are weak.\\n\\n## Audit workflow for an existing shorts bot\\n\\n1. **Inventory the pipeline**\\n   - script generation model/provider\\n   - image/video source\\n   - TTS/voice provider\\n   - subtitle/caption rendering\\n   - music source and licensing\\n   - output dimensions/fps/duration\\n   - metadata generation\\n   - publishing integration\\n   - analytics storage\\n\\n2. **Inspect sample outputs**\\n   - Check duration with `ffprobe`.\\n   - Extract frames at early, middle, and late timestamps.\\n   - Review visually for hook strength, readability, AI artifacts, brand consistency, and mobile-safe framing.\\n\\n3. **Review generated metadata**\\n   - Titles, descriptions, captions, hashtags.\\n   - Look for generic wording, weak promises, overlong descriptions, or mismatched platform tone.\\n\\n4. **Diagnose growth blockers**\\n   - Generic topic selection.\\n   - Weak 0–2 second hook.\\n   - No human identity or repeated series format.\\n   - Overlong runtime for a new account.\\n   - AI-image artifacts or obvious “AI slop”.\\n   - No retention/publishing analytics loop.\\n\\n5. **Recommend next system step**\\n   - Prefer small experiments: 3 niches × 3 formats × 3 hook styles before large refactors.\\n   - Add scoring and analytics before scaling generation volume.\\n\\n## Recommended content-engine concepts\\n\\nRepresent each planned short as structured data:\\n\\n- `niche`: e.g. `life_optimization`, `ai_systems`, `faithtok`\\n- `format`: e.g. `contrarian`, `confession`, `tutorial`, `prayer`, `story`, `list`, `warning`\\n- `duration_target`: e.g. 20, 35, 55 seconds\\n- `platform`: `tiktok`, `youtube_shorts`, `reels`\\n- `language`: `de`, `en`\\n- `hook`: exact first spoken/on-screen sentence\\n- `script`: final spoken script\\n- `visual_plan`: per-beat visuals\\n- `caption`: platform caption\\n- `cta`: comment/follow/save prompt\\n- `risk_notes`: medical/finance/religious/policy concerns if any\\n\\n## Hook quality gate\\n\\nBefore rendering, score every script. Reject or revise if it fails:\\n\\n- Hook appears in the first 1.5 seconds.\\n- Hook creates curiosity, tension, identity, confession, surprise, or clear pain.\\n- One clear idea only; no broad essay.\\n- First visual frame communicates a problem/person/contrast, not generic ambience.\\n- Script avoids generic advice viewers have heard 200 times.\\n- There is a concrete reason to comment, save, share, or follow.\\n- Ending can loop naturally into the opening when possible.\\n\\n## Early-account duration guidance\\n\\nFor new or low-traction accounts, default to shorter experiments:\\n\\n- 18–25s: aggressive hook and format tests.\\n- 30–45s: value shorts with one useful idea.\\n- 55–60s: only when the story or emotional arc is strong.\\n- Avoid drifting into 80–90s explainers unless analytics proves retention.\\n\\n## Visual strategy\\n\\nPrefer visuals that signal trust, humanity, and specificity:\\n\\n- Human face, hands, desk, phone, Bible, notebook, screen recordings, real B-roll.\\n- Kinetic captions and large on-screen hook text in the first two seconds.\\n- Pattern interrupts every 2–3 seconds: zoom, cut, object, caption emphasis, scene change.\\n- Avoid AI-generated UI screens, fake app icons, fake text, illegible pseudo-typography, and generic abstract graphs unless intentionally stylistic.\\n\\n## Analytics feedback loop\\n\\nStore a small performance record per published video:\\n\\n```json\\n{\\n  \\\"video_id\\\": \\\"...\\\",\\n  \\\"platform\\\": \\\"youtube\\\",\\n  \\\"niche\\\": \\\"faithtok\\\",\\n  \\\"format\\\": \\\"confession\\\",\\n  \\\"hook\\\": \\\"...\\\",\\n  \\\"duration\\\": 32,\\n  \\\"published_at\\\": \\\"2026-05-22T20:00:00+02:00\\\",\\n  \\\"views_24h\\\": 1200,\\n  \\\"avg_retention\\\": 0.61,\\n  \\\"likes\\\": 83,\\n  \\\"comments\\\": 12,\\n  \\\"shares\\\": 4,\\n  \\\"follows\\\": 9\\n}\\n```\\n\\nUse analytics to decide the next batch: repeat winners, vary one variable at a time, and retire weak hooks/formats.\\n\\n## Content positioning patterns\\n\\nFor life optimisation, AI, and FaithTok, stronger positioning comes from identity and contrast, not generic tips.\\n\\n- Life optimisation: “systems, not motivation”; “less chaos in 60 seconds”.\\n- AI: practical AI for normal people; AI as servant, not identity.\\n- FaithTok: faith for overloaded modern life; emotionally honest, not kitschy or preachy.\\n- Hybrid positioning example: “Faith, focus, and AI systems for a better life.”\\n\\n## Pitfalls\\n\\n- Do not just generate more videos when views are weak; first improve hooks and add analytics.\\n- Do not let image generation produce text/UI elements unless the model is reliable; fake labels damage trust.\\n- Do not commit `.env`, tokens, generated private assets, or raw secrets to GitHub.\\n- Do not claim platform-specific monetization success without current analytics.\\n- For religious content, keep tone grounded, sincere, and non-manipulative; avoid cringe, overclaiming, or weaponized guilt.\\n\\n## References\\n\\n- `references/autoshortsbot-initial-audit.md` — project-specific initial audit notes and improvement direction for the AutoShortsBot prototype.\\n\"}"
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      "content": "{\"success\": true, \"message\": \"Skill 'social-shorts-automation' created.\", \"path\": \"media/social-shorts-automation\", \"skill_md\": \"/home/agent/.hermes/skills/media/social-shorts-automation/SKILL.md\", \"category\": \"media\", \"hint\": \"To add reference files, templates, or scripts, use skill_manage(action='write_file', name='social-shorts-automation', file_path='references/example.md', file_content='...')\"}",
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      "tool_calls": [
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          "id": "call_AYqeXzvDO4lv3GiO3rr2mB6c",
          "call_id": "call_AYqeXzvDO4lv3GiO3rr2mB6c",
          "response_item_id": "fc_049e6b492e9f3d48016a10c71f6f8881919c3208e0cd884af9",
          "type": "function",
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            "name": "skill_manage",
            "arguments": "{\"action\":\"write_file\",\"file_content\":\"# AutoShortsBot Initial Audit Notes\\n\\nDate: 2026-05-22\\n\\n## Project context\\n\\n- Project: AutoShortsBot — automated generation of social-media shorts.\\n- Canonical repo: `https://github.com/Gamexgit/AutoShortsBot`.\\n- Local repo checkout used during setup: `~/jarvis_runtime/AutoShortsBot`.\\n- Existing prototype roots:\\n  - `~/.hermes/scripts/Auto_Shorts_Bot`\\n  - `~/.hermes/scripts/Auto_Video_Bot`\\n- Token handling note: GitHub fine-grained token came from Google Drive file `Github_AutoShortsBot_Token` and should be used only as a local runtime secret, never printed or committed.\\n\\n## Prototype capabilities observed\\n\\n### Auto_Shorts_Bot\\n\\nFully synthetic short generation:\\n\\n- topic selection from `content_strategy.json`\\n- script/idea generation via DeepSeek through NVIDIA/OpenAI-compatible API\\n- image generation via Flux/NVIDIA\\n- voiceover via `edge_tts`\\n- background music via `yt_dlp`\\n- rendering via MoviePy\\n- outputs hybrid video, subtitled video, and description/caption/hashtags text\\n\\n### Auto_Video_Bot\\n\\nRepurposing/clipping pipeline:\\n\\n- local Whisper transcription\\n- DeepSeek selection of viral moments\\n- MoviePy cuts selected moments into a 9:16 best-of short\\n\\n## Issues likely limiting views\\n\\n- Topics and scripts are too generic: useful but similar to common self-improvement advice.\\n- Some videos drift to ~90 seconds, which is risky for early account growth.\\n- Early visuals can be generic ambience (e.g. abstract graphs) rather than a strong hook/person/problem.\\n- AI visual artifacts appeared in sample output (fake smartphone app names/icons), reducing trust.\\n- Current content has little human identity, repeated series framing, or strong channel position.\\n- Pipeline lacks an analytics feedback loop; generation does not learn from views, retention, likes, comments, shares, or follows.\\n\\n## Recommended pivot\\n\\nMove from “video generator” to “Shorts Growth Engine”:\\n\\n1. trend/idea mining\\n2. hook factory\\n3. short script generator\\n4. visual strategy\\n5. pre-render quality gate\\n6. render\\n7. publishing package\\n8. analytics ingestion\\n9. next-batch decisions based on measured performance\\n\\n## Initial content directions from user\\n\\n- life optimisation\\n- AI\\n- Christian faith / FaithTok\\n\\nPotential combined positioning:\\n\\n- “Faith, focus, and AI systems for a better life.”\\n- “Modern life, disciplined by faith, amplified by AI.”\\n\\n## Suggested test series\\n\\n1. **60 Sekunden weniger Chaos**\\n   - Life optimisation, practical systems, anti-overwhelm.\\n2. **Faith for the Overloaded**\\n   - FaithTok, anxiety, burnout, prayer, identity, emotional honesty.\\n3. **AI, aber menschlich**\\n   - Practical AI routines, AI as servant not master, everyday automation.\\n\\n## Engineering recommendations\\n\\n- Migrate prototypes into a clean repo structure rather than copying scripts flat.\\n- Add `.gitignore` before any migration; exclude `.env`, tokens, generated videos, temporary assets, downloaded music, and local input/output folders.\\n- Refactor prompt logic into configurable `niche`, `format`, `duration`, `platform`, and `language` fields.\\n- Add a hook/script scoring stage before rendering.\\n- Store analytics per video as JSON/CSV for future topic selection.\\n- Prefer real B-roll/screen recordings/kinetic captions over fully synthetic images for trust-sensitive niches.\\n\",\"file_path\":\"references/autoshortsbot-initial-audit.md\",\"name\":\"social-shorts-automation\"}"
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      "content": "{\"success\": true, \"message\": \"File 'references/autoshortsbot-initial-audit.md' written to skill 'social-shorts-automation'.\", \"path\": \"/home/agent/.hermes/skills/media/social-shorts-automation/references/autoshortsbot-initial-audit.md\"}",
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          "call_id": "call_4BPMUQ0iHbl5OyR5cRg78aDU",
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            "arguments": "{\"action\":\"write_file\",\"file_content\":\"# Google Drive Token to Local GitHub Secret Workflow\\n\\nUse when a GitHub fine-grained token is stored in Google Drive and the user asks to use/cache it locally for repo operations.\\n\\n## Safety rules\\n\\n- Never print the token.\\n- Store it only in a local secrets directory with mode `0600`.\\n- Use it as an environment variable or via `GIT_ASKPASS`; do not embed it in a remote URL that may end up in shell history, process listings, logs, or `.git/config`.\\n- Remove temporary downloaded copies after extracting the token.\\n- Do not commit `.env`, token files, exported CSVs, or downloaded Drive artifacts.\\n\\n## Pattern\\n\\n1. Find the Drive file with `gog` using JSON/results-only output.\\n2. Download/export the file to `/tmp` in a parseable format such as CSV or TXT.\\n3. Extract a token matching GitHub token prefixes such as `github_pat_` or `ghp_` without printing the full value.\\n4. Write the token to `~/.hermes/secrets/<repo>_token` with `0600` permissions.\\n5. Verify GitHub access with a minimal API request that prints only repo metadata.\\n6. Delete temporary files.\\n\\n## Example verification pattern\\n\\n```bash\\nGITHUB_TOKEN=$(tr -d '\\\\n\\\\r' < ~/.hermes/secrets/example_repo_token)\\nexport GITHUB_TOKEN\\npython3 - <<'PY'\\nimport json, os, urllib.request\\nreq = urllib.request.Request(\\n    'https://api.github.com/repos/OWNER/REPO',\\n    headers={\\n        'Authorization': 'Bearer ' + os.environ['GITHUB_TOKEN'],\\n        'Accept': 'application/vnd.github+json',\\n    },\\n)\\nwith urllib.request.urlopen(req, timeout=20) as r:\\n    data = json.load(r)\\nprint('repo_access_ok', data.get('full_name'), 'default_branch', data.get('default_branch'), 'private', data.get('private'))\\nPY\\n```\\n\\n## Authenticated clone without leaking token into remote URL\\n\\n```bash\\nTOKEN=$(tr -d '\\\\n\\\\r' < ~/.hermes/secrets/example_repo_token)\\nexport TOKEN\\nexport GIT_ASKPASS=/tmp/git_askpass_repo.sh\\ncat > \\\"$GIT_ASKPASS\\\" <<'SH'\\n#!/bin/sh\\ncase \\\"$1\\\" in\\n  *Username*) echo x-access-token ;;\\n  *Password*) printf '%s' \\\"$TOKEN\\\" ;;\\n  *) echo ;;\\nesac\\nSH\\nchmod 700 \\\"$GIT_ASKPASS\\\"\\nGIT_TERMINAL_PROMPT=0 git clone https://github.com/OWNER/REPO.git /path/to/checkout\\nrm -f \\\"$GIT_ASKPASS\\\"\\n```\\n\",\"file_path\":\"references/drive-token-secret-workflow.md\",\"name\":\"github-repo-management\"}"
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            {
              "type": "output_text",
              "text": "Skill library updated.\n\n- Created new class-level skill: `media/social-shorts-automation`\n  - Covers automated TikTok/YouTube Shorts/Reels systems, growth strategy, hook scoring, visual QA, analytics loops, and content positioning.\n  - Added project reference: `references/autoshortsbot-initial-audit.md`\n\n- Updated existing loaded skill: `github-repo-management`\n  - Added support reference: `references/drive-token-secret-workflow.md`\n  - Patched `SKILL.md` to point future agents to the Drive-token → local secret → GitHub verification/clone workflow.\n\nNo overlap requiring curator attention beyond the normal relation with `youtube-content`; that one is transcript-focused, while the new skill is broader short-form automation/growth."
            }
          ],
          "id": "msg_049e6b492e9f3d48016a10c744dca88191af4a91d96d640cb3",
          "phase": "final_answer"
        }
      ]
    }
  ]
}