{
"session_id": "20260526_184154_89f27f",
"model": "gpt-5.5",
"base_url": "https://chatgpt.com/backend-api/codex",
"platform": "telegram",
"session_start": "2026-05-26T22:45:00.536661",
"last_updated": "2026-05-26T23:12:23.165596",
"system_prompt": "# Hermes Agent Persona\n\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save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked.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\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\n\n\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\n\n\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\n\n\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\n\n\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\n\n\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\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\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 - social-shorts-automation: Build, audit, and improve automated YouTube Shorts/TikTok...\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 - shortform-growth-automation: Design and operate semi-automatic pipelines for YouTube S...\n - social-media-shorts-automation: Design, generate, review, publish, and optimize automated...\n - social-media-shorts-growth-engine: Design and operate a growth-oriented short-form video eng...\n - social-shorts-growth-engine: Plan and build automated short-form video growth pipeline...\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\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  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) [98% — 2,175/2,200 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§\nModelle: Qwen TS:11435; gpt-5.5; AutoShorts GPU RTX A5000 16GB.\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 `\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§\nGitHub token files: FinanceManager CSV `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv`; AutoShortsBot `~/.hermes/secrets/github_autoshortsbot_token`; use temp GIT_ASKPASS, never print.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [98% — 1,349/1,375 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§\nHealth advisor role: consolidate labs/clinical reports/YAZIO/daily health email/symptoms/events into dashboards/reports; lab extraction requires 4-eyes review before values are confirmed.\n§\nTelegram topic Health-Med: only medical strategy/Behçet/Major Vessel Disease/thrombosis/meds/nutrition/symptoms/labs/doctor questions; health system scripts/data models go to Health-Tech.\n§\nFinance/Grocery: no real amounts/IDs/API keys in chat; credentials via 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 provider calls explicit/cache-first.\n§\nAutoShorts/TrueTraceShorts: manual approval/posting; previews DE, finals EN. New visual standard for proof shorts: detailed AI-generated real UI/screen images with readable concrete text (e.g. Outlook-style invite/login/calendar), no extra focus lines/arrows/boxes; active-word subtitles; export MP4 with explicit 9:16 SAR/DAR.\n\nConversation started: Tuesday, May 26, 2026 11:10 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: 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:' for a provider defined in custom_providers config — always include the ':' 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  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:' (DM), 'yuanbao:group:' (group chat)"
},
"message": {
"type": "string",
"description": "The message text to send. To send an image or file, include MEDIA: (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=` 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 `. 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.), 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/.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"
}
},
"required": [
"id",
"content",
"status"
]
}
},
"merge": {
"type": "boolean",
"description": "true: update existing items by id, add new ones. false (default): replace the entire list.",
"default": false
}
}
}
}
},
{
"type": "function",
"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": {
"video_url": {
"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."
}
},
"required": [
"video_url",
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "vision_analyze",
"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.",
"parameters": {
"type": "object",
"properties": {
"image_url": {
"type": "string",
"description": "Image URL (http/https), local file path, or data: URL to load."
},
"question": {
"type": "string",
"description": "Your specific question or request about the image. Optional context the model uses on the next turn after seeing the image."
}
},
"required": [
"image_url",
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "write_file",
"description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)"
},
"content": {
"type": "string",
"description": "Complete content to write to the file"
}
},
"required": [
"path",
"content"
]
}
}
}
],
"message_count": 288,
"messages": [
{
"role": "user",
"content": "[M G] Aspect ratio stimmt nicht, bzw oben und unten sind schwarze balken und das sichtbare bild ist in der höhe zusammengestaucht."
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_i7hB781HGxx48tSAxxiqot00",
"call_id": "call_i7hB781HGxx48tSAxxiqot00",
"response_item_id": "fc_05d87c710653a55b016a152ba619cc819186f38d1a34ce02b5",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"name\":\"social-media-shorts-automation\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
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"content": "Erledigt, Sir — nächster **Postpreview zur Freigabe** ist gebaut.\n\n## Postpreview #2 — Shared Document Login Trap\n\n**Thema:** Fake “shared document” request / Login-Trap \n**Format:** Neuer Standard — detaillierte KI-Screenbilder mit lesbarem UI-Text, keine Linien/Pfeile/Boxen, active-word subtitles.\n\nMEDIA:/tmp/autoshorts_proof_short_sprint32/shared-document-login-trap-38s/postpreview_v1/shared-document-login-trap-38s_postpreview_v1.mp4\n\n## QA / Technik\n\n- Auflösung: `1080x1920`\n- SAR: `1:1`\n- DAR: `9:16`\n- FPS: `24`\n- Länge: `40.208 s`\n- Audio: enthalten\n- Subtitles: active-word highlight\n- Keine Fokus-Linien / Pfeile / Boxen\n- Keine Menschen / Hände / QR / Watermark sichtbar\n- Kein Wan / I2V / T2V\n- Kein Posting / keine Platform-API\n\nSHA256:\n\n```text\n83b97208711af68112b722f09e6451989ccca8a6ce8780efb444ba4fcc60cd63\n```\n\n## Social Draft\n\n**Titelvarianten:**\n- The shared file trap\n- Never open shared docs this way\n- This fake document steals logins\n\n**Caption:**\nA shared file can be the cleanest-looking login trap. Close the email. Open your work drive yourself. If it is real, it will still be there.\n\n**Hashtags:**\n`#cybersecurity #phishing #productivity #workflows #TrueTrace`\n\n**CTA:**\nFollow for hidden digital traps you can actually fix.\n\n## Freigabe-Kommandos\n\nWenn passend:\n\n`APPROVED_POSTPREVIEW shared-document-login-trap-38s v1.0.0-detailed-ai-screens`\n\nWenn ändern:\n\n`REVISE_POSTPREVIEW shared-document-login-trap-38s \"...\"`\n\nWenn verwerfen:\n\n`REJECT_POSTPREVIEW shared-document-login-trap-38s`",
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"text": "Erledigt, Sir — nächster **Postpreview zur Freigabe** ist gebaut.\n\n## Postpreview #2 — Shared Document Login Trap\n\n**Thema:** Fake “shared document” request / Login-Trap \n**Format:** Neuer Standard — detaillierte KI-Screenbilder mit lesbarem UI-Text, keine Linien/Pfeile/Boxen, active-word subtitles.\n\nMEDIA:/tmp/autoshorts_proof_short_sprint32/shared-document-login-trap-38s/postpreview_v1/shared-document-login-trap-38s_postpreview_v1.mp4\n\n## QA / Technik\n\n- Auflösung: `1080x1920`\n- SAR: `1:1`\n- DAR: `9:16`\n- FPS: `24`\n- Länge: `40.208 s`\n- Audio: enthalten\n- Subtitles: active-word highlight\n- Keine Fokus-Linien / Pfeile / Boxen\n- Keine Menschen / Hände / QR / Watermark sichtbar\n- Kein Wan / I2V / T2V\n- Kein Posting / keine Platform-API\n\nSHA256:\n\n```text\n83b97208711af68112b722f09e6451989ccca8a6ce8780efb444ba4fcc60cd63\n```\n\n## Social Draft\n\n**Titelvarianten:**\n- The shared file trap\n- Never open shared docs this way\n- This fake document steals logins\n\n**Caption:**\nA shared file can be the cleanest-looking login trap. Close the email. Open your work drive yourself. If it is real, it will still be there.\n\n**Hashtags:**\n`#cybersecurity #phishing #productivity #workflows #TrueTrace`\n\n**CTA:**\nFollow for hidden digital traps you can actually fix.\n\n## Freigabe-Kommandos\n\nWenn passend:\n\n`APPROVED_POSTPREVIEW shared-document-login-trap-38s v1.0.0-detailed-ai-screens`\n\nWenn ändern:\n\n`REVISE_POSTPREVIEW shared-document-login-trap-38s \"...\"`\n\nWenn verwerfen:\n\n`REJECT_POSTPREVIEW shared-document-login-trap-38s`"
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"content": "[M G] Ok, jetzt den nächsten vorschlag. Schau das du etwas abwechslung rein bringst und der Hook gut ist. Macht es sinn das erste bim (bzw das was man beim durchscroolen sieht) etwas dramatischer zu machen? So dass mab auch ohne lesen gleich versteht worum es geht?"
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"text": "**Planning proposal package**\n\nI'm looking to create a detailed screen image that differs from phishing concepts. Maybe I can generate a \"proposal package\" that includes a concept, script, visual plan, and a prompt for the first frame. I might use a writing tool to draft this. \n\nIt seems logical to produce a suggestion for the first image prompt since the user asked about it, but I want to keep in mind that rendering the postpreview takes time. Since they used \"nächsten Vorschlag,\" a text proposal should suffice."
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"content": "Ja — absolut. Das **erste Bild muss dramatischer werden**, aber nicht im Sinne von “Hollywood-Alarm”, sondern als **sofort sichtbarer Fehlerzustand**. Beim Durchscrollen muss man ohne Ton und ohne Untertitel in <1 Sekunde denken:\n\n> “Oh, das könnte schiefgehen.”\n\nFür den nächsten Vorschlag würde ich bewusst **weg von Login-/Phishing-Traps** gehen, damit mehr Abwechslung entsteht:\n\n## Vorschlag #3 — AI Email Send Gate\n\n**Candidate ID:** `ai-email-send-gate-35s`\n\n## Thema\n\nNicht der AI-Draft ist gefährlich — sondern der Moment, in dem er ungeprüft gesendet wird.\n\n**Variety gegenüber den letzten Posts:**\n- Kein Fake-Login\n- Kein Shared Document\n- Kein Scam-Link\n- Stattdessen: AI + Workflows + menschliche Approval-Grenze\n\n## Hook\n\n**Selected Hook:**\n\n> Your AI draft is not the danger. The Send button is.\n\nAlternativen:\n- This is how AI turns one email into a problem.\n- Before AI sends anything, check this one screen.\n- The mistake happens after the AI writes it.\n\n## Dramatisches erstes Bild\n\nJa, das erste Bild sollte stärker sein.\n\n**Visual-Idee:**\nEin Laptop-Screen in Nahaufnahme:\n\n- AI-written email draft\n- großer `Send` Button\n- Empfänger: `Entire Team`\n- Attachment: `Salary_Changes.xlsx`\n- AI panel: `Draft ready`\n- warmes/rotes Warning-Licht\n- keine Pfeile, keine Linien, keine Boxen — die UI selbst erzählt die Gefahr\n\nDas versteht man auch ohne Lesen der Untertitel: \n**Eine sensible Mail ist einen Klick vom falschen Versand entfernt.**\n\n## Script Draft EN\n\n```text\nYour AI draft is not the danger. The Send button is.\n\nThe message can sound perfect and still go to the wrong people.\n\nOne copied recipient.\nOne sensitive attachment.\nOne confident AI summary.\n\nThat is enough.\n\nBefore anything leaves your inbox, add a final gate.\n\nCheck the recipient.\nCheck the attachment.\nCheck the claim.\n\nThen decide yourself.\n\nAI can write the draft.\nIt should not own the boundary.\n\nThe rule: let AI prepare the message, but make the human approve the send.\n```\n\n## Visual Plan\n\n1. **Visible Fail:** AI email draft ready to send to `Entire Team` with `Salary_Changes.xlsx`.\n2. **AI Confidence:** side panel says `Draft ready`.\n3. **Risk Detail:** recipient, attachment, send button visible.\n4. **Pause Moment:** email UI shows review state: `Recipient`, `Attachment`, `Claim`.\n5. **Safe Action:** send button becomes `Needs approval`.\n6. **Takeaway:** `AI drafts. Humans approve send.` as part of the app UI.\n\n## Meine Empfehlung\n\nDas ist ein guter nächster Kandidat, weil er:\n- mehr Abwechslung bringt,\n- stark zur TrueTrace-Richtung passt,\n- AI relevant hält,\n- sofort visuell verständlich ist,\n- einen klaren praktischen Fix liefert.\n\nIch habe den Vorschlag hier abgelegt:\n\n`/tmp/autoshorts_proof_short_sprint33/ai-email-send-gate/proposal_v1.md`\n\nWenn du ihn freigibst, rendere ich daraus als nächsten Schritt den Postpreview im neuen Standard:\n\n`APPROVED_CONCEPT ai-email-send-gate-35s`",
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"text": "Ja — absolut. Das **erste Bild muss dramatischer werden**, aber nicht im Sinne von “Hollywood-Alarm”, sondern als **sofort sichtbarer Fehlerzustand**. Beim Durchscrollen muss man ohne Ton und ohne Untertitel in <1 Sekunde denken:\n\n> “Oh, das könnte schiefgehen.”\n\nFür den nächsten Vorschlag würde ich bewusst **weg von Login-/Phishing-Traps** gehen, damit mehr Abwechslung entsteht:\n\n## Vorschlag #3 — AI Email Send Gate\n\n**Candidate ID:** `ai-email-send-gate-35s`\n\n## Thema\n\nNicht der AI-Draft ist gefährlich — sondern der Moment, in dem er ungeprüft gesendet wird.\n\n**Variety gegenüber den letzten Posts:**\n- Kein Fake-Login\n- Kein Shared Document\n- Kein Scam-Link\n- Stattdessen: AI + Workflows + menschliche Approval-Grenze\n\n## Hook\n\n**Selected Hook:**\n\n> Your AI draft is not the danger. The Send button is.\n\nAlternativen:\n- This is how AI turns one email into a problem.\n- Before AI sends anything, check this one screen.\n- The mistake happens after the AI writes it.\n\n## Dramatisches erstes Bild\n\nJa, das erste Bild sollte stärker sein.\n\n**Visual-Idee:**\nEin Laptop-Screen in Nahaufnahme:\n\n- AI-written email draft\n- großer `Send` Button\n- Empfänger: `Entire Team`\n- Attachment: `Salary_Changes.xlsx`\n- AI panel: `Draft ready`\n- warmes/rotes Warning-Licht\n- keine Pfeile, keine Linien, keine Boxen — die UI selbst erzählt die Gefahr\n\nDas versteht man auch ohne Lesen der Untertitel: \n**Eine sensible Mail ist einen Klick vom falschen Versand entfernt.**\n\n## Script Draft EN\n\n```text\nYour AI draft is not the danger. The Send button is.\n\nThe message can sound perfect and still go to the wrong people.\n\nOne copied recipient.\nOne sensitive attachment.\nOne confident AI summary.\n\nThat is enough.\n\nBefore anything leaves your inbox, add a final gate.\n\nCheck the recipient.\nCheck the attachment.\nCheck the claim.\n\nThen decide yourself.\n\nAI can write the draft.\nIt should not own the boundary.\n\nThe rule: let AI prepare the message, but make the human approve the send.\n```\n\n## Visual Plan\n\n1. **Visible Fail:** AI email draft ready to send to `Entire Team` with `Salary_Changes.xlsx`.\n2. **AI Confidence:** side panel says `Draft ready`.\n3. **Risk Detail:** recipient, attachment, send button visible.\n4. **Pause Moment:** email UI shows review state: `Recipient`, `Attachment`, `Claim`.\n5. **Safe Action:** send button becomes `Needs approval`.\n6. **Takeaway:** `AI drafts. Humans approve send.` as part of the app UI.\n\n## Meine Empfehlung\n\nDas ist ein guter nächster Kandidat, weil er:\n- mehr Abwechslung bringt,\n- stark zur TrueTrace-Richtung passt,\n- AI relevant hält,\n- sofort visuell verständlich ist,\n- einen klaren praktischen Fix liefert.\n\nIch habe den Vorschlag hier abgelegt:\n\n`/tmp/autoshorts_proof_short_sprint33/ai-email-send-gate/proposal_v1.md`\n\nWenn du ihn freigibst, rendere ich daraus als nächsten Schritt den Postpreview im neuen Standard:\n\n`APPROVED_CONCEPT ai-email-send-gate-35s`"
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"phase": "final_answer"
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"finish_reason": "stop"
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"role": "user",
"content": "[M G] Ich glaube nicht dass ,AI bersendet Emails‘ gerade ein thema ist dass die meisten viewer beschäftigt. Cybersexurity für anfänger jedoch schon… wir müssen uns neu positionieren. Mach mir vernünftige vorschläge"
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"reasoning": "**Considering proposal strategies**\n\nI think I should respond with some strategic proposals. I might not need any tools since I already have relevant skills loaded. The user asked for strategy proposals, so I could focus on creating a plan or document. The phrase \"Mach mir vernünftige Vorschläge\" suggests a request for reasonable suggestions. However, I need to make sure I’m using tools as needed, especially if I need to create a proposal file or utilize a specific skill.",
"reasoning_content": "**Considering proposal strategies**\n\nI think I should respond with some strategic proposals. I might not need any tools since I already have relevant skills loaded. The user asked for strategy proposals, so I could focus on creating a plan or document. The phrase \"Mach mir vernünftige Vorschläge\" suggests a request for reasonable suggestions. However, I need to make sure I’m using tools as needed, especially if I need to create a proposal file or utilize a specific skill.",
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{
"type": "summary_text",
"text": "**Considering proposal strategies**\n\nI think I should respond with some strategic proposals. I might not need any tools since I already have relevant skills loaded. The user asked for strategy proposals, so I could focus on creating a plan or document. The phrase \"Mach mir vernünftige Vorschläge\" suggests a request for reasonable suggestions. However, I need to make sure I’m using tools as needed, especially if I need to create a proposal file or utilize a specific skill."
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"arguments": "{\"path\": \"/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/proposals_v1.md\", \"content\": \"# TrueTraceShorts Repositioning — Cybersecurity for Beginners\\n\\n## Strategic reset\\nPosition as beginner-friendly digital self-defense: concrete everyday cyber risks, visible first-frame failure, one me...[truncated]\"}"
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"reasoning": "**Considering proposal options**\n\nI need to create reasonable proposals based on the user's request. They mentioned repositioning, so I’ll consider how to adjust the current proposals accordingly. It might also be a good idea to save the proposal file for future reference. I can use the write_file function to manage that. I want to ensure the proposals meet the user's expectations while being clear and effective. Let's proceed with that in mind!",
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"text": "**Considering proposal options**\n\nI need to create reasonable proposals based on the user's request. They mentioned repositioning, so I’ll consider how to adjust the current proposals accordingly. It might also be a good idea to save the proposal file for future reference. I can use the write_file function to manage that. I want to ensure the proposals meet the user's expectations while being clear and effective. Let's proceed with that in mind!"
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"content": "Ja — du hast recht. **“AI versendet Emails”** ist zu sehr Creator-/Workflow-Nische. Das beschäftigt vielleicht uns, aber nicht genug normale Viewer beim Scrollen. Wenn wir **Cybersecurity für Anfänger** machen, müssen die Themen näher an Alltagsangst, Geld, Accounts, Familie und “das könnte mir passieren” liegen.\n\n## Neue Positionierung\n\n**TrueTraceShorts = Cybersecurity für normale Menschen.**\n\nNicht:\n> “AI Workflows und digitale Systeme für Fortgeschrittene”\n\nSondern:\n> “Du siehst einen normalen Screen. Ich zeige dir den einen Red Flag, bevor du klickst.”\n\nMögliche Taglines:\n- **Spot the trap before you click.**\n- **Digital self-defense for normal people.**\n- **One screen. One red flag. One safer move.**\n- **Cybersecurity ohne Nerd-Gelaber.**\n\nDas ist klarer, massentauglicher und besser als aktuelle Positionierung.\n\n## Was der erste Frame leisten muss\n\nJa: **dramatischer, aber konkret.**\n\nNicht abstrakt “dark hacker vibes”. Sondern ein sichtbarer Alltagsmoment mit Risiko:\n\n- Handy zeigt Fake-SMS\n- Laptop zeigt Fake-Support-Popup\n- Bank/Login-Seite wirkt “fast echt”\n- MFA-Prompt erscheint unerwartet\n- Passwort-Domino wird sichtbar\n- Marketplace-Chat versucht, dich off-platform zu ziehen\n\nDer Viewer muss ohne Audio und ohne Untertitel sofort denken:\n\n> “Oh shit, das kenne ich.”\n\n## Vernünftige Vorschläge\n\n### 1. Delivery SMS Trap\n\n**Hook:**\n> This delivery text is designed to make you panic.\n\n**First frame:**\nHandy-Lockscreen mit Paket-SMS:\n\n- `Your package is on hold`\n- `Pay CHF 1.95 customs fee`\n- Fake short link\n- rotes/amber Licht\n- Uhrzeit spät abends / urgency vibe\n\n**Fix:**\nNicht auf SMS-Link klicken. Liefer-App oder Website selbst öffnen.\n\n**Warum stark:**\nJeder kennt Paket-SMS. Sehr massentauglich, sofort verständlich, guter Beginner-Topic.\n\n**Meine Empfehlung für nächsten Preview.**\n\n---\n\n### 2. Fake Bank Login After QR Code\n\n**Hook:**\n> The QR code was not the problem. The page after it was.\n\n**First frame:**\nPhone scannt QR-Code auf Brief/Flyer. Danach fake bankähnliche Login-Seite mit minimal falscher URL.\n\n**Fix:**\nWenn Login/Geld involviert ist: QR schliessen, Bank-App manuell öffnen.\n\n**Warum stark:**\nQR-Scams sind visuell gut erklärbar und aktuell genug.\n\n---\n\n### 3. Password Reuse Domino\n\n**Hook:**\n> One leaked password does not stay on one website.\n\n**First frame:**\nEin Passwortfeld, danach rote Kettenreaktion über Email, Shopping, Social, Cloud.\n\n**Fix:**\nUnique passwords + Passwortmanager + MFA.\n\n**Warum stark:**\nEvergreen, Anfänger-tauglich, hoher Save-Wert. Etwas weniger “akuter Scam”, aber sehr nützlich.\n\n---\n\n### 4. Fake Support Pop-up\n\n**Hook:**\n> If a website tells you to call support, stop.\n\n**First frame:**\nLaptop mit Vollbild-Warnung:\n\n- `Your device is infected`\n- `Call support now`\n- Telefonnummer\n- fake progress bar\n- rotes Warnfenster\n\n**Fix:**\nNicht anrufen. Tab/Browser schliessen. Offiziellen Support nur manuell suchen.\n\n**Warum stark:**\nSehr verständlich, besonders teilbar an Eltern/Familie. “Send this to your parents”-Potential.\n\n---\n\n### 5. MFA Push Fatigue\n\n**Hook:**\n> If you get a login prompt you did not start, it is not a notification.\n\n**First frame:**\nPhone mit mehreren `Approve login?` Prompts, Laptop daneben unbenutzt.\n\n**Fix:**\nDeny. Passwort ändern. Sessions prüfen.\n\n**Warum stark:**\nModerner als klassische Phishing-Themen, aber immer noch simpel.\n\n---\n\n### 6. Marketplace Buyer Scam\n\n**Hook:**\n> The buyer is not buying. They are moving you off-platform.\n\n**First frame:**\nChat-Screen:\n\n- Buyer asks for email/phone\n- “I will send shipping payment link”\n- suspicious payment link\n\n**Fix:**\nPayment und Chat in der Plattform behalten.\n\n**Warum stark:**\nRelatable, comment-friendly, gutes “das ist mir passiert”-Potential.\n\n## Meine klare Empfehlung\n\nAls nächstes sollten wir **Delivery SMS Trap** machen.\n\nWarum:\n- extrem beginner-friendly\n- sofort visuell verständlich\n- hoher Alltagsbezug\n- guter Hook\n- kein AI-/Workflow-Nischenthema\n- passt perfekt zu “Cybersecurity für Anfänger”\n- kann dramatisch starten, ohne unseriös zu wirken\n\n## Nächster Preview-Kandidat\n\n**Candidate ID:** `delivery-sms-trap-35s`\n\n**Hook:**\n> This delivery text is designed to make you panic.\n\n**Erstes Bild:**\nEin Handy in Nahaufnahme mit Fake-Paket-SMS:\n\n```text\nYour package is on hold\nPay CHF 1.95 customs fee\nDelivery expires today\ntrack-secure.example\n```\n\nVisuell:\n- rote/amber Notification-Beleuchtung\n- Paket liegt unscharf im Hintergrund\n- SMS ist riesig und klar lesbar\n- kein Logo, keine echte Marke\n- keine Pfeile/Boxen\n- nur active-word subtitles\n\n**Takeaway:**\n> If a message makes you hurry, open the app yourself.\n\nIch habe die neue Vorschlagsliste hier abgelegt:\n\n`/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/proposals_v1.md`\n\nWenn du einverstanden bist, baue ich als nächsten Schritt den Preview für:\n\n`APPROVED_CONCEPT delivery-sms-trap-35s`",
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"text": "Ja — du hast recht. **“AI versendet Emails”** ist zu sehr Creator-/Workflow-Nische. Das beschäftigt vielleicht uns, aber nicht genug normale Viewer beim Scrollen. Wenn wir **Cybersecurity für Anfänger** machen, müssen die Themen näher an Alltagsangst, Geld, Accounts, Familie und “das könnte mir passieren” liegen.\n\n## Neue Positionierung\n\n**TrueTraceShorts = Cybersecurity für normale Menschen.**\n\nNicht:\n> “AI Workflows und digitale Systeme für Fortgeschrittene”\n\nSondern:\n> “Du siehst einen normalen Screen. Ich zeige dir den einen Red Flag, bevor du klickst.”\n\nMögliche Taglines:\n- **Spot the trap before you click.**\n- **Digital self-defense for normal people.**\n- **One screen. One red flag. One safer move.**\n- **Cybersecurity ohne Nerd-Gelaber.**\n\nDas ist klarer, massentauglicher und besser als aktuelle Positionierung.\n\n## Was der erste Frame leisten muss\n\nJa: **dramatischer, aber konkret.**\n\nNicht abstrakt “dark hacker vibes”. Sondern ein sichtbarer Alltagsmoment mit Risiko:\n\n- Handy zeigt Fake-SMS\n- Laptop zeigt Fake-Support-Popup\n- Bank/Login-Seite wirkt “fast echt”\n- MFA-Prompt erscheint unerwartet\n- Passwort-Domino wird sichtbar\n- Marketplace-Chat versucht, dich off-platform zu ziehen\n\nDer Viewer muss ohne Audio und ohne Untertitel sofort denken:\n\n> “Oh shit, das kenne ich.”\n\n## Vernünftige Vorschläge\n\n### 1. Delivery SMS Trap\n\n**Hook:**\n> This delivery text is designed to make you panic.\n\n**First frame:**\nHandy-Lockscreen mit Paket-SMS:\n\n- `Your package is on hold`\n- `Pay CHF 1.95 customs fee`\n- Fake short link\n- rotes/amber Licht\n- Uhrzeit spät abends / urgency vibe\n\n**Fix:**\nNicht auf SMS-Link klicken. Liefer-App oder Website selbst öffnen.\n\n**Warum stark:**\nJeder kennt Paket-SMS. Sehr massentauglich, sofort verständlich, guter Beginner-Topic.\n\n**Meine Empfehlung für nächsten Preview.**\n\n---\n\n### 2. Fake Bank Login After QR Code\n\n**Hook:**\n> The QR code was not the problem. The page after it was.\n\n**First frame:**\nPhone scannt QR-Code auf Brief/Flyer. Danach fake bankähnliche Login-Seite mit minimal falscher URL.\n\n**Fix:**\nWenn Login/Geld involviert ist: QR schliessen, Bank-App manuell öffnen.\n\n**Warum stark:**\nQR-Scams sind visuell gut erklärbar und aktuell genug.\n\n---\n\n### 3. Password Reuse Domino\n\n**Hook:**\n> One leaked password does not stay on one website.\n\n**First frame:**\nEin Passwortfeld, danach rote Kettenreaktion über Email, Shopping, Social, Cloud.\n\n**Fix:**\nUnique passwords + Passwortmanager + MFA.\n\n**Warum stark:**\nEvergreen, Anfänger-tauglich, hoher Save-Wert. Etwas weniger “akuter Scam”, aber sehr nützlich.\n\n---\n\n### 4. Fake Support Pop-up\n\n**Hook:**\n> If a website tells you to call support, stop.\n\n**First frame:**\nLaptop mit Vollbild-Warnung:\n\n- `Your device is infected`\n- `Call support now`\n- Telefonnummer\n- fake progress bar\n- rotes Warnfenster\n\n**Fix:**\nNicht anrufen. Tab/Browser schliessen. Offiziellen Support nur manuell suchen.\n\n**Warum stark:**\nSehr verständlich, besonders teilbar an Eltern/Familie. “Send this to your parents”-Potential.\n\n---\n\n### 5. MFA Push Fatigue\n\n**Hook:**\n> If you get a login prompt you did not start, it is not a notification.\n\n**First frame:**\nPhone mit mehreren `Approve login?` Prompts, Laptop daneben unbenutzt.\n\n**Fix:**\nDeny. Passwort ändern. Sessions prüfen.\n\n**Warum stark:**\nModerner als klassische Phishing-Themen, aber immer noch simpel.\n\n---\n\n### 6. Marketplace Buyer Scam\n\n**Hook:**\n> The buyer is not buying. They are moving you off-platform.\n\n**First frame:**\nChat-Screen:\n\n- Buyer asks for email/phone\n- “I will send shipping payment link”\n- suspicious payment link\n\n**Fix:**\nPayment und Chat in der Plattform behalten.\n\n**Warum stark:**\nRelatable, comment-friendly, gutes “das ist mir passiert”-Potential.\n\n## Meine klare Empfehlung\n\nAls nächstes sollten wir **Delivery SMS Trap** machen.\n\nWarum:\n- extrem beginner-friendly\n- sofort visuell verständlich\n- hoher Alltagsbezug\n- guter Hook\n- kein AI-/Workflow-Nischenthema\n- passt perfekt zu “Cybersecurity für Anfänger”\n- kann dramatisch starten, ohne unseriös zu wirken\n\n## Nächster Preview-Kandidat\n\n**Candidate ID:** `delivery-sms-trap-35s`\n\n**Hook:**\n> This delivery text is designed to make you panic.\n\n**Erstes Bild:**\nEin Handy in Nahaufnahme mit Fake-Paket-SMS:\n\n```text\nYour package is on hold\nPay CHF 1.95 customs fee\nDelivery expires today\ntrack-secure.example\n```\n\nVisuell:\n- rote/amber Notification-Beleuchtung\n- Paket liegt unscharf im Hintergrund\n- SMS ist riesig und klar lesbar\n- kein Logo, keine echte Marke\n- keine Pfeile/Boxen\n- nur active-word subtitles\n\n**Takeaway:**\n> If a message makes you hurry, open the app yourself.\n\nIch habe die neue Vorschlagsliste hier abgelegt:\n\n`/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/proposals_v1.md`\n\nWenn du einverstanden bist, baue ich als nächsten Schritt den Preview für:\n\n`APPROVED_CONCEPT delivery-sms-trap-35s`"
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"content": "[M G] JARVIS, wir machen jetzt eine klare strategische Neuorientierung für AutoShortsBot / TrueTraceShorts.\n\nDer aktuelle Proof Short “digital-red-flags-fake-invoice-payment-route-30s” ist als Richtung deutlich besser als der alte AI-Summary-Pilot. Jetzt soll diese neue Richtung zur offiziellen Content-Strategie werden.\n\nWichtigste Entscheidung:\n\nTrueTraceShorts soll nicht mehr primär ein AI-/Workflow-/Automation-Kanal sein.\n\nNeue Hauptausrichtung:\n\nScam Self-Defense für normale Menschen.\n\nKurz gesagt:\n\nOne screen. One red flag. One safer move.\n\nOder auf Deutsch:\n\nEin normaler Screen. Ein gefährlicher Hinweis. Eine sichere Handlung.\n\nNeue Positionierung\n\nBitte aktualisiere die Projektstrategie entsprechend.\n\nNicht mehr als Hauptpositionierung:\n\nAI Workflow Tips\nPrompt Engineering\ndigitale Systeme für Fortgeschrittene\nabstrakte Productivity-Mechanismen\nschöne AI-Explainer ohne sichtbaren Schmerz\n\nNeue Hauptpositionierung:\n\nTrueTraceShorts = Digital Red Flags / Scam Self-Defense for normal people.\n\nKanalversprechen:\n\n“I show you the one red flag before you click, pay, scan, or log in.”\n\nMögliche Tagline:\n\n“One screen. One red flag. One safer move.”\n\nDeutsch erklärt:\n\nWir zeigen normalen Menschen auf einem normalen Screen den einen gefährlichen Hinweis, bevor sie klicken, zahlen, scannen oder Login-Daten eingeben.\n\nZielgruppe\n\nBitte nicht als “Boomer-Kanal” positionieren.\n\nIntern dürfen die Inhalte “boomer-safe” sein:\n\neinfache Sprache\ngroße Lesbarkeit\nkeine Fachbegriffe\nkonkrete Beispiele\nklare Handlung\n\nExtern aber nicht:\n“Cybersecurity für Boomer”\n\nSondern:\n“Digital self-defense for normal people.”\n\nZielgruppe:\n\nnormale Smartphone-/Internetnutzer\nEltern\nJugendliche\nBerufstätige\nKleinunternehmer\nFamilien\nTeams\nMenschen, die ihre Eltern/Partner/Kollegen schützen wollen\n\nPsychologischer Hebel:\nDer Zuschauer soll denken:\n\n“Das hätte mir oder meiner Familie passieren können.”\n\nSprache / Tonalität\n\nSehr wichtig:\nDie Sprache darf nicht hochgestochen sein.\n\nKeine Nerd-Sprache.\nKeine Corporate-Security-Sprache.\nKeine Fachvorträge.\nKeine komplizierten Begriffe ohne Erklärung.\n\nVerwende einfache Alltagssprache.\n\nFinale Social Videos aktuell weiterhin Englisch, aber sehr einfaches Englisch.\n\nSprachlevel:\n\neinfach\nklar\nkurze Sätze\nAlltagssprache\nungefähr B1/B2 verständlich\nkeine verschachtelten Sätze\nkeine Buzzwords\n\nBeispiele guter Sprache:\n\nGut:\n“This message wants you to hurry.”\n“Don’t tap the link.”\n“Open the app yourself.”\n“If the payment route changed, verify it another way.”\n“If it makes you hurry, slow down.”\n\nSchlecht:\n“This phishing attempt leverages urgency-based social engineering to exploit cognitive load.”\n\nSchlecht:\n“Validate the authenticity of the communication channel before initiating a transactional flow.”\n\nStatt “validate communication channel”:\n“Check it another way.”\n\nStatt “credential harvesting”:\n“stealing your login.”\n\nStatt “multi-factor authentication prompt fatigue”:\n“a login prompt you did not start.”\n\nContent-Kernformel\n\nJedes Video folgt ab jetzt dieser Formel:\n\nOne screen.\nOne red flag.\nOne safer move.\n\nStandardstruktur:\n\n0–2s:\nVisible trap + Hook\n\n2–7s:\nWhy it feels normal\n\n7–15s:\nThe one red flag\n\n15–24s:\nThe safer move\n\n24–30s:\nScreenshot checklist\n\n30–34s:\nMemorable rule + soft CTA\n\nNicht jedes Video muss exakt gleich lang sein, aber diese Struktur ist der Default.\n\nWas jedes Video beantworten muss\n\nVor jedem Render muss der Kandidat diese Fragen bestehen:\n\nWelchen normalen Screen sieht der Zuschauer?\nWelcher konkrete Fehler / Scam / Red Flag ist sichtbar?\nErkennt man das Problem in Sekunde 1 auch ohne Ton?\nWas könnte dem Zuschauer passieren?\nWas ist die eine sichere Handlung?\nKann man das Video an Eltern, Partner, Kollegen oder Team schicken?\nHat es einen Save- oder Screenshot-Grund?\nIst die Sprache einfach genug für Durchschnittsnutzer?\nIst es nützlich, auch wenn man kein Tech-Wissen hat?\n\nWenn diese Fragen nicht klar beantwortet werden:\nnicht rendern.\n\nNeue Content-Pillars\n\nBitte alte AI-/Workflow-Pillars zurückstufen und neue Hauptpfeiler setzen.\n\nNeue Hauptpfeiler:\n\nA. Text & Delivery Scams\nBeispiele:\n\nPaket-SMS\nZollgebühr\nMautgebühr\n“Your delivery is on hold”\n“Pay CHF 1.95”\nShort links\nFake tracking\n\nB. Login & Account Traps\nBeispiele:\n\nFake Bank Login\nFake Microsoft/Google/Apple Login\n“Your account will be closed”\nFake password reset\nLogin prompt you did not start\n\nC. Payment & Invoice Red Flags\nBeispiele:\n\nFake invoice\nchanged payment route\nvendor bank change\nCEO payment request\nQR payment trap\n\nD. Marketplace & Buyer Scams\nBeispiele:\n\nbuyer moves you off-platform\nfake shipping link\nfake escrow\noverpayment\n“courier will pick it up”\n\nE. Family & Emotion Scams\nBeispiele:\n\n“Hi mom, new number”\nemergency money request\ngrandparent scam\nwrong-number scam\nAI voice warning, aber nur einfach erklärt\n\nF. Fake Support / Popup Scams\nBeispiele:\n\n“Your device is infected”\ncall support now\nfake antivirus\nbrowser lock\nremote access request\n\nG. Password / Account Safety Basics\nBeispiele:\n\npassword reuse domino\none leaked password spreads\npassword manager basics\nMFA basics\nrecovery email risk\n\nH. Job / Side-Hustle Scams\nBeispiele:\n\nfake recruiter\ntask scam\n“pay to get paid”\nremote job deposit\ncrypto onboarding trap\n\nThemen, die vorerst NICHT Hauptfokus sind\n\nNicht als Hauptformat:\n\nAI Workflow Automation\nPrompt Engineering\nTool Reviews\n“Top 5 AI tools”\nabstrakte Produktivitätsmechanismen\nallgemeine Cybersecurity-News\nHacker-Taktiken\nOSINT\nVPN-Vergleiche\nDark-Web-Erklärungen\ntechnische Angriffsanleitungen\n\nDiese Themen können später Spezialformate sein, aber nicht als Kern.\n\nNächste beste Serien\n\nBitte diese Serien als offizielle Serienlogik anlegen:\n\nSerie 1:\n“One Screen. One Red Flag.”\n\nFormat:\nEin normaler Screen, ein gefährliches Detail, eine sichere Handlung.\n\nSerie 2:\n“Send This To Your Parents”\n\nFormat:\nSehr einfache Videos für Familie/Eltern, aber nicht herablassend.\n\nSerie 3:\n“Before You Click”\n\nFormat:\nLink, SMS, QR, Login, Popup — was man vor dem Klick prüft.\n\nSerie 4:\n“Money Move Red Flags”\n\nFormat:\nZahlung, Rechnung, Bankroute, QR-Code, Marketplace.\n\nSerie 5:\n“Account Trap”\n\nFormat:\nLogin, Passwort, MFA, Fake-Reset, Konto-Schließung.\n\nStandardformat pro Video\n\nJeder Clip soll möglichst so aufgebaut sein:\n\nScene 1 — Visible Trap / Hook\nDauer: 0–2s\nBild:\nnormaler Screen, z. B. Handy-SMS, Pop-up, E-Mail, Rechnung, Chat.\n\nVoiceover:\nkurzer Hook.\n\nBeispiel:\n“This delivery text is designed to make you panic.”\n\nScene 2 — Why it feels normal\nDauer: 2–7s\nZeige:\nwarum man es glauben könnte.\n\nBeispiel:\n“Tiny fee. Short deadline. Official-looking link.”\n\nScene 3 — Red Flag Reveal\nDauer: 7–15s\nZeige:\nein konkretes Detail.\n\nBeispiel:\n“The red flag is the pressure.”\n\nScene 4 — Safer Move\nDauer: 15–24s\nZeige:\nwas man stattdessen tun soll.\n\nBeispiel:\n“Don’t tap the link. Open the app yourself.”\n\nScene 5 — Screenshot Checklist\nDauer: 24–30s\nMaximal 3 Punkte.\n\nBeispiel:\n“SAVE THIS:\n\nWho sent it?\nWhy the rush?\nCan I open it myself?”\n\nScene 6 — Memorable Rule / CTA\nDauer: 30–34s\n\nBeispiel:\n“If it makes you hurry, slow down.”\n\nCTA:\n“Follow for one red flag before you click.”\n\nScreenshot-Checkliste\n\nJa, jedes Video soll am Ende möglichst eine kurze Screenshot-Karte haben.\n\nRegeln:\n\nmaximal 3 Punkte\nsehr kurze Wörter\ngroße Schrift\n1.5 bis 3 Sekunden sichtbar\nmobile-safe\nkein überladener Text\nkein langer Absatz\nkeine zehn Bulletpoints\nklarer Titel wie “SAVE THIS” oder “Quick check”\n\nGute Beispiele:\n\nSAVE THIS\n\nDelivery text?\nCheck:\n\nSmall fee?\nShort deadline?\nSuspicious link?\n\nOpen the app yourself.\n\nOder:\n\nQuick check:\n\nDid they rush you?\nIs money involved?\nCan you verify another way?\nBeschreibung / Caption / Pinned Comment\n\nDie genauere Anleitung gehört NICHT komplett ins Video.\nSie gehört in:\n\nBeschreibung\nCaption\ngepinnter Kommentar\n\nVideo = schnell und klar.\nBeschreibung = etwas mehr Hilfe.\n\nTemplate Beschreibung:\n\nA common red flag is pressure: a small fee, a short deadline, and a link.\n\nDon’t tap the link from the message.\nOpen the app or official website yourself.\n\nIf you already clicked: don’t enter payment or login details. Close the page and check through the official app.\n\nSave this for the next suspicious message.\nGepinnter Kommentar:\n\nQuick check:\n\nDid they rush you?\nIs there a payment or login link?\nCan you open the app yourself?\nVisuelle Regeln\n\nDefault-Visualstil:\n\nscreen/mockup-led\n\nNicht:\n\nabstrakte Glaswolken\nschöne, aber leere AI-Bilder\ngenerische Laptop-B-Roll\nabstrakte Funnel/Ring-Metaphern\nPowerPoint\ntechnische Erklärtafeln\nunnötige Wan-Videos\n\nSondern:\n\nHandy-Screen\nSMS\nE-Mail\nRechnung\nChat\nPop-up\nLogin\nQR-Code-Situation\nMarketplace-Chat\neinfache fiktive Mockups\n\nMockups bleiben renderer-owned/deterministisch, wenn möglich.\n\nWarum:\nSo behalten wir Kontrolle über:\n\nkeine echten Marken\nkeine echten Bankdaten\nkeine echten Domains\nkeine echten Telefonnummern\nkeine echten QR-Codes\nkeine gefährlichen Vorlagen\nkeine Pseudo-Schrift\nklare mobile Lesbarkeit\n\nBild-KI-Regel\n\nOpenAI/Codex Image Generation ist jetzt auf gpt-image-2-high gesetzt und darf für Premium-Styleframes genutzt werden.\n\nAber:\nFür Scam-Screen-Mockups ist deterministisches Rendering meist besser.\n\nAI-Bilder nur, wenn:\n\nrealistische Umgebung gebraucht wird\nkein Text/keine Daten im Bild wichtig sind\nes nur Atmosphäre liefert\nes nicht den eigentlichen Scam-Screen erzeugt\n\nNicht:\nAI soll Fake-Rechnung, Fake-Bankseite oder Fake-SMS komplett frei erfinden.\n\nDiese Screens müssen kontrolliert sein.\n\nUntertitel-Regeln\n\nSubtitles bleiben:\n\nstatic phrase segments\nactive-word highlight\nwhite inactive words\nyellow active word\nkeine Box\nkeine Vollbreiten-Bar\nkeine dunkle Fläche\nsubtiler Schatten/Outline\nmax. 2 Zeilen\nnie über den Rand\nsafe-zone unten einhalten\neinfache Sprache\nZeilenumbrüche bewusst setzen\n\nWenn ein Satz zu lang ist:\nCaption-Segment splitten.\n\nNicht:\nText kleiner quetschen, bis niemand ihn lesen kann.\n\nSafety-Regeln bei Scam-Content\n\nImmer beachten:\n\nKeine echten:\n\nMarken\nLogos\nTelefonnummern\nBankdaten\nIBANs\nQR-Codes\nDomains\nPersonen\nFirmen\nechten Betrugsbeispiele\n\nKeine operationalisierbaren Scam-Anleitungen.\n\nNicht sagen:\n\n“So erkennst du jeden Scam”\n“Diese drei Checks schützen immer”\n“Garantiert sicher”\n“Alle Betrüger machen X”\n\nBesser:\n\n“A common red flag is…”\n“Before you pay, check…”\n“Verify through another channel.”\n“This does not catch everything, but it gives you a safer next step.”\n\nNeue Scoring-Kriterien\n\nBitte ergänze oder priorisiere im Scoring:\n\nviewer pain in first second\nscreen clarity without audio\nred flag clarity\nsafe move clarity\nfamily/share potential\nscreenshot checklist value\nbeginner language score\nmockup safety score\nno-fearmongering score\npretty-empty-visual blocker\n\nEin Kandidat darf nicht durchkommen, wenn:\n\ner schön aussieht, aber kein Problem zeigt\ndie Sprache zu hochgestochen ist\nder Red Flag unklar ist\nkein sicherer nächster Schritt existiert\ndie Szene auch für 50 andere Videos passen würde\n\nNächste Content-Reihenfolge\n\nNach Fake Invoice als erster Proof Short soll die nächste Kandidatenliste so aussehen:\n\nDelivery SMS Trap\n Candidate ID:\n delivery-sms-trap-35s\n\nHook:\n“This delivery text is designed to make you panic.”\n\nTakeaway:\n“If it makes you hurry, slow down.”\n\nFake Support Pop-up\n Candidate ID:\n fake-support-popup-call-now-30s\n\nHook:\n“If a website tells you to call support, stop.”\n\nTakeaway:\n“Real support does not hijack your screen.”\n\nMarketplace Buyer Scam\n Candidate ID:\n marketplace-buyer-off-platform-30s\n\nHook:\n“The buyer is not buying. They are moving you off-platform.”\n\nTakeaway:\n“Keep the chat and payment inside the platform.”\n\nFake QR Login\n Candidate ID:\n fake-qr-bank-login-page-35s\n\nHook:\n“The QR code was not the problem. The page after it was.”\n\nTakeaway:\n“If money or login is involved, open the app yourself.”\n\nPassword Reuse Domino\n Candidate ID:\n password-reuse-domino-30s\n\nHook:\n“One leaked password does not stay on one website.”\n\nTakeaway:\n“One account, one password.”\n\nSofortiger nächster Schritt\n\nBitte nicht gleich 30 Videos bauen.\n\nNächster Schritt:\n\nA. Fake-Invoice Proof Short finalisieren, falls noch nicht gemacht:\n\nManual Upload Pack\nPosting-Texte\nAnalytics-Template\n\nB. Danach genau 3 neue Kandidaten als ReviewPackages erzeugen:\n\nDelivery SMS Trap\nFake Support Pop-up\nMarketplace Buyer Scam\n\nNur ReviewPackages + optional sehr leichte preview plans.\nKeine Renderings, bis freigegeben.\n\nDocumentation Update\n\nBitte aktualisiere:\n\nBusinessplan / Content-Konzept\nStrategy docs\nproof short docs\nscoring docs\ncontent pillar registry\nseries registry\nimage generation guidelines\nmockup safety guidelines\ncaption guidelines\n\nNeue Überschrift:\n\nTrueTraceShorts — Digital Red Flags\nScam Self-Defense for Normal People\n\nKernsatz:\n\nOne screen. One red flag. 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{
"role": "tool",
"content": "[read_file] read /home/agent/jarvis_runtime/autoshortsbot/AutoShortsBot/docs/image_generation_guidelines.md from line 1 (5,269 chars)",
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{
"role": "tool",
"content": "[read_file] read /home/agent/jarvis_runtime/autoshortsbot/AutoShortsBot/autoshorts/social/manual_posting.py from line 1 (7,406 chars)",
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"reasoning_content": "**Organizing documentation process**\n\nI need to write some code, using a Python script to create various files. It seems like I should include documentation, like a README. I'm considering if I can use the write_file tool with execute_code, though I might need to repeat this for multiple files. \n\nI also plan to create and update several documents, including safety guidelines and various other markdown files. Updating the README and image guidelines is on my list. Additionally, I'll manage packages and create manual posting packs, though it seems I need to be careful about file statuses and media. I'll report any drafts that are pending final media.",
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"reasoning_content": "**Checking Git Status**\n\nI think I should probably run `git diff` or `git status` to get a better understanding of what's changed in my repository. It’s always a good first step to check for any modifications, untracked files, or changes that need staging. This way, I can ensure everything is in order before committing any updates. I'll definitely make it a point to do this regularly so I can keep an eye on my code changes!",
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"content": "{\"content\": \" 1|## Manual Posting Pack\\n 2|Candidate: digital-red-flags-fake-invoice-payment-route-30s\\n 3|Video file: /tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/manual_upload_v1/digital-red-flags-fake-invoice-payment-route-30s_manual_upload_v1_9x16_sar1.mp4\\n 4|No platform upload was performed.\\n 5|\\n 6|## YouTube Shorts\\n 7|Manual upload: copy this description into YouTube Shorts.\\n 8|Title: This invoice looks normal. Check this line first.\\n 9|Description:\\n 10|A common red flag is a changed payment route. Before you pay, check it another way. This does not catch everything, but it gives you a safer next step.\\n 11|\\n 12|Follow for one red flag before you click, pay, scan, or log in.\\n 13|\\n 14|#ScamAwareness #CyberSafety #DigitalRedFlags #SmallBusiness #TrueTraceShorts\\n 15|Hashtags: #ScamAwareness #CyberSafety #DigitalRedFlags #SmallBusiness #TrueTraceShorts\\n 16|Tags: ScamAwareness, CyberSafety, DigitalRedFlags, SmallBusiness, TrueTraceShorts\\n 17|\\n 18|## TikTok\\n 19|Manual upload: copy this caption into TikTok.\\n 20|Title: This invoice looks normal. Check this line first.\\n 21|Description:\\n 22|A common red flag is a changed payment route. Before you pay, check it another way. This does not catch everything, but it gives you a safer next step. #ScamAwareness #CyberSafety #DigitalRedFlags #SmallBusiness #TrueTraceShorts\\n 23|Hashtags: #ScamAwareness #CyberSafety #DigitalRedFlags #SmallBusiness #TrueTraceShorts\\n 24|Tags: n/a\\n 25|\\n 26|## Instagram Reels\\n 27|Manual upload: copy this caption into Instagram Reels.\\n 28|Title: This invoice looks normal. Check this line first.\\n 29|Description:\\n 30|A common red flag is a changed payment route. Before you pay, check it another way. This does not catch everything, but it gives you a safer next step. #ScamAwareness #CyberSafety #DigitalRedFlags #SmallBusiness #TrueTraceShorts\\n 31|Hashtags: #ScamAwareness #CyberSafety #DigitalRedFlags #SmallBusiness #TrueTraceShorts\\n 32|Tags: n/a\\n 33|\\n 34|## Pinned Comment Suggestion\\n 35|Quick check:\\n 36|\\n 37|Did the payment route change?\\n 38|Is money involved?\\n 39|Can you verify another way?\\n 40|\\n 41|## Analytics Template\\n 42|- platform:\\n 43|- post_time:\\n 44|- video_id/url:\\n 45|- series_id: money_move_red_flags\\n 46|- candidate_id: digital-red-flags-fake-invoice-payment-route-30s\\n 47|- hook_type: invoice_red_flag\\n 48|- first_frame_type: invoice_screen\\n 49|- duration: 31.4s\\n 50|- at_1h: views / likes / comments / shares / saves / follows\\n 51|- at_24h: views / likes / comments / shares / saves / follows\\n 52|- at_72h: views / likes / comments / shares / saves / follows\\n 53|- at_7d: views / likes / comments / shares / saves / follows\\n 54|- diagnosis notes:\\n 55|\\n 56|## Media Verification\\n 57|- file: `/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/manual_upload_v1/digital-red-flags-fake-invoice-payment-route-30s_manual_upload_v1_9x16_sar1.mp4`\\n 58|- sha256: `82e4dba233ffe69315570988faff48bfd1633e02e59377e456ca871febba842c`\\n 59|\", \"total_lines\": 58, \"file_size\": 2772, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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"content": "{\"content\": \" 1|## Review: delivery-sms-trap-35s\\n 2|Title: Delivery SMS Trap\\n 3|Pillar: text_delivery_scams\\n 4|Platforms: YouTube, TikTok, Instagram\\n 5|Duration: 35s\\n 6|\\n 7|Hook: This delivery text is designed to make you panic.\\n 8|Script: 0-2s: phone SMS says package on hold and tiny fee. 2-7s: tiny fee, short deadline, official-looking link. 7-15s: red flag is pressure. 15-24s: do not tap the link; open the delivery app or official site yourself. 24-30s: SAVE THIS checklist: small fee, short deadline, suspicious link. 30-34s: If it makes you hurry, slow down.\\n 9|Visual: Renderer-owned phone SMS mockup; fictional sender; no real courier/logo/domain/phone/QR; dramatic first frame from urgency and fee, not hacker imagery.\\n 10|Caption: A common red flag is pressure: a tiny fee, a short deadline, and a link. Open the app yourself instead.\\n 11|Hashtags: #ScamAwareness #CyberSafety #DigitalRedFlags #DeliveryScam #TrueTraceShorts\\n 12|\\n 13|Quality: 8.5/10\\n 14|AI-slop risk: 2/10\\n 15|Policy: series:before_you_click; mockup:deterministic; no_rendering_done\\n 16|Render gate: READY\\n 17|Preview: -\\n 18|\\n 19|Approval commands:\\n 20|- `Freigabe alle`\\n 21|- `Freigabe YouTube`\\n 22|- `Freigabe TikTok`\\n 23|- `Freigabe Instagram`\\n 24|- `Ablehnen`\\n 25|- `Ändern: `\\n 26|\\n 27|## Strategy Gate\\n 28|- Render allowed by strategy review: `True`\\n 29|- Format family: `Before You Click`\\n 30|- Viewer identity: `normal smartphone/internet users`\\n 31|- Future promise: `one red flag before you click, pay, scan, or log in`\\n 32|\\n 33|## No Render Status\\n 34|No MP4, styleframe batch, platform API, or Wan/I2V/T2V action was performed.\\n 35|\", \"total_lines\": 34, \"file_size\": 1497, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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"content": "{\"content\": \" 1|# Next Three ReviewPackages — No Rendering\\n 2|\\n 3|- `delivery-sms-trap-35s` → `/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/delivery-sms-trap-35s_review_package_v1.md`\\n 4|- `fake-support-popup-call-now-30s` → `/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/fake-support-popup-call-now-30s_review_package_v1.md`\\n 5|- `marketplace-buyer-off-platform-30s` → `/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/marketplace-buyer-off-platform-30s_review_package_v1.md`\\n 6|\", \"total_lines\": 5, \"file_size\": 503, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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"content": "Erledigt, Sir. Strategische Neuorientierung ist umgesetzt.\n\n## Neue offizielle Richtung\n\n**TrueTraceShorts — Digital Red Flags** \n**Scam Self-Defense for Normal People**\n\nKernsatz:\n\n> **One screen. One red flag. One safer move.**\n\nKanalversprechen:\n\n> **I show you the one red flag before you click, pay, scan, or log in.**\n\nAI-/Workflow-/Prompt-Themen sind nicht gelöscht, aber klar **zurückgestuft** als Legacy-/Spezialformate. Hauptstrategie ist jetzt Scam Self-Defense für normale Menschen.\n\n## Aktualisierte Strategie-/Dokumentationsdateien\n\nNeu oder aktualisiert:\n\n- `README.md`\n- `docs/truetrace_digital_red_flags_strategy.md`\n- `docs/branding_truetrace_strategy.md`\n- `docs/proof_short_digital_red_flags.md`\n- `docs/scoring_guide_digital_red_flags.md`\n- `docs/image_generation_guidelines.md`\n- `docs/mockup_safety_guidelines.md`\n- `docs/caption_guidelines_digital_red_flags.md`\n\n## Angepasste Code-/Config-Dateien\n\nAktualisiert:\n\n- `autoshorts/config/pillars.py`\n - neue Hauptpfeiler:\n - Text & Delivery Scams\n - Login & Account Traps\n - Payment & Invoice Red Flags\n - Marketplace & Buyer Scams\n - Family & Emotion Scams\n - Fake Support / Popup Scams\n - Password / Account Safety Basics\n - Job / Side-Hustle Scams\n - `ai_life_systems` bleibt als **Legacy Secondary Pillar** erhalten, damit bestehende Pipeline/Tests nicht unnötig sterben. Altlasten entsorgt man kontrolliert, nicht mit der Abrissbirne. Meistens.\n\n- `autoshorts/strategy/series.py`\n - neue Hauptserien:\n - `one_screen_one_red_flag`\n - `send_this_to_your_parents`\n - `before_you_click`\n - `money_move_red_flags`\n - `account_trap`\n - alte AI-Serien bleiben als Legacy Secondary Series erhalten:\n - `prompt_vs_system`\n - `ai_system_autopsy`\n - `one_rule_one_example`\n - `ai_hype_court`\n\n- `autoshorts/strategy/score.py`\n - Scoring auf Digital-Red-Flags-Logik umgestellt:\n - first-second viewer pain\n - screen clarity without audio\n - red flag clarity\n - safe move clarity\n - family/share potential\n - screenshot checklist value\n - beginner language\n - pretty-empty-visual blocker\n - technical jargon blocker\n\n- `autoshorts/config/image_generation_policy.json`\n - `gpt-image-2-high` als preferred model gesetzt\n - klare Grenze: Scam-Screen-Mockups deterministisch, AI-Bilder nur für Atmosphäre/Styleframes\n\n- Tests aktualisiert:\n - `tests/test_pillars.py`\n - `tests/test_content_series.py`\n - `tests/test_content_strategy_score.py`\n\n## Fake-Invoice Manual Posting Pack\n\nErzeugt für:\n\n`digital-red-flags-fake-invoice-payment-route-30s`\n\nDatei:\n\n`/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/fake_invoice_manual_posting_pack_v1.md`\n\nFinale Video-Datei, Telegram-/Shorts-safe normalisiert:\n\n`/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/manual_upload_v1/digital-red-flags-fake-invoice-payment-route-30s_manual_upload_v1_9x16_sar1.mp4`\n\nVerifikation:\n\n```text\n1080x1920\nSAR: 1:1\nDAR: 9:16\n24 fps\nDauer: 31.400 s\nSHA256: 82e4dba233ffe69315570988faff48bfd1633e02e59377e456ca871febba842c\n```\n\nDas Pack enthält:\n\n- YouTube Shorts Copy\n- TikTok Caption\n- Instagram Reels Caption\n- Hashtags\n- Tags\n- Pinned Comment Suggestion\n- Analytics Template\n- explizit: **No platform upload was performed**\n\n## Nächste 3 ReviewPackages vorbereitet\n\nOhne Rendering. Keine Platform-API. Keine Wan-/I2V-/T2V-Aktion. Keine Styleframe-Batches.\n\nIndex:\n\n`/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/next_three_review_packages_index_v1.md`\n\nEinzeldateien:\n\n1. **Delivery SMS Trap**\n\n`/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/delivery-sms-trap-35s_review_package_v1.md`\n\nHook:\n\n> This delivery text is designed to make you panic.\n\nTakeaway:\n\n> If it makes you hurry, slow down.\n\n2. **Fake Support Pop-up**\n\n`/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/fake-support-popup-call-now-30s_review_package_v1.md`\n\nHook:\n\n> If a website tells you to call support, stop.\n\nTakeaway:\n\n> Real support does not hijack your screen.\n\n3. **Marketplace Buyer Scam**\n\n`/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/marketplace-buyer-off-platform-30s_review_package_v1.md`\n\nHook:\n\n> The buyer is not buying. They are moving you off-platform.\n\nTakeaway:\n\n> Keep the chat and payment inside the platform.\n\n## Tests\n\nVollständige Test-Suite ausgeführt:\n\n```text\n237 passed in 32.40s\n```\n\n## Git-Status / geänderte Dateien\n\nGeändert:\n\n- `README.md`\n- `autoshorts/config/image_generation_policy.json`\n- `autoshorts/config/pillars.py`\n- `autoshorts/strategy/score.py`\n- `autoshorts/strategy/series.py`\n- `docs/branding_truetrace_strategy.md`\n- `docs/image_generation_guidelines.md`\n- `tests/test_content_series.py`\n- `tests/test_content_strategy_score.py`\n- `tests/test_pillars.py`\n\nNeu:\n\n- `docs/caption_guidelines_digital_red_flags.md`\n- `docs/mockup_safety_guidelines.md`\n- `docs/proof_short_digital_red_flags.md`\n- `docs/scoring_guide_digital_red_flags.md`\n- `docs/truetrace_digital_red_flags_strategy.md`\n\n## Nicht ausgeführt\n\nWie gewünscht:\n\n- kein Auto-Posting\n- keine Plattform-API\n- keine Render-Serie\n- keine Wan-Videos\n- keine AI-Styleframe-Batches\n\n## Mögliche nächste Kommandos\n\nFür Strategie/Review:\n\n`REVIEW_PACKAGE delivery-sms-trap-35s`\n\n`REVIEW_PACKAGE fake-support-popup-call-now-30s`\n\n`REVIEW_PACKAGE marketplace-buyer-off-platform-30s`\n\nFür Rendering nach Freigabe:\n\n`APPROVED_CONCEPT delivery-sms-trap-35s`\n\noder:\n\n`APPROVED_CONCEPT fake-support-popup-call-now-30s`\n\noder:\n\n`APPROVED_CONCEPT marketplace-buyer-off-platform-30s`\n\nFür Fake-Invoice Posting:\n\n`SHOW_MANUAL_POSTING_PACK digital-red-flags-fake-invoice-payment-route-30s`\n\nDie neue Leitplanke steht jetzt sauber im Projekt:\n\n> Wir bauen keinen schönen AI-Film. \n> Wir bauen nützliche Kurzvideos, die normale Menschen vor echten digitalen Fallen schützen.",
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"text": "Erledigt, Sir. Strategische Neuorientierung ist umgesetzt.\n\n## Neue offizielle Richtung\n\n**TrueTraceShorts — Digital Red Flags** \n**Scam Self-Defense for Normal People**\n\nKernsatz:\n\n> **One screen. One red flag. One safer move.**\n\nKanalversprechen:\n\n> **I show you the one red flag before you click, pay, scan, or log in.**\n\nAI-/Workflow-/Prompt-Themen sind nicht gelöscht, aber klar **zurückgestuft** als Legacy-/Spezialformate. Hauptstrategie ist jetzt Scam Self-Defense für normale Menschen.\n\n## Aktualisierte Strategie-/Dokumentationsdateien\n\nNeu oder aktualisiert:\n\n- `README.md`\n- `docs/truetrace_digital_red_flags_strategy.md`\n- `docs/branding_truetrace_strategy.md`\n- `docs/proof_short_digital_red_flags.md`\n- `docs/scoring_guide_digital_red_flags.md`\n- `docs/image_generation_guidelines.md`\n- `docs/mockup_safety_guidelines.md`\n- `docs/caption_guidelines_digital_red_flags.md`\n\n## Angepasste Code-/Config-Dateien\n\nAktualisiert:\n\n- `autoshorts/config/pillars.py`\n - neue Hauptpfeiler:\n - Text & Delivery Scams\n - Login & Account Traps\n - Payment & Invoice Red Flags\n - Marketplace & Buyer Scams\n - Family & Emotion Scams\n - Fake Support / Popup Scams\n - Password / Account Safety Basics\n - Job / Side-Hustle Scams\n - `ai_life_systems` bleibt als **Legacy Secondary Pillar** erhalten, damit bestehende Pipeline/Tests nicht unnötig sterben. Altlasten entsorgt man kontrolliert, nicht mit der Abrissbirne. Meistens.\n\n- `autoshorts/strategy/series.py`\n - neue Hauptserien:\n - `one_screen_one_red_flag`\n - `send_this_to_your_parents`\n - `before_you_click`\n - `money_move_red_flags`\n - `account_trap`\n - alte AI-Serien bleiben als Legacy Secondary Series erhalten:\n - `prompt_vs_system`\n - `ai_system_autopsy`\n - `one_rule_one_example`\n - `ai_hype_court`\n\n- `autoshorts/strategy/score.py`\n - Scoring auf Digital-Red-Flags-Logik umgestellt:\n - first-second viewer pain\n - screen clarity without audio\n - red flag clarity\n - safe move clarity\n - family/share potential\n - screenshot checklist value\n - beginner language\n - pretty-empty-visual blocker\n - technical jargon blocker\n\n- `autoshorts/config/image_generation_policy.json`\n - `gpt-image-2-high` als preferred model gesetzt\n - klare Grenze: Scam-Screen-Mockups deterministisch, AI-Bilder nur für Atmosphäre/Styleframes\n\n- Tests aktualisiert:\n - `tests/test_pillars.py`\n - `tests/test_content_series.py`\n - `tests/test_content_strategy_score.py`\n\n## Fake-Invoice Manual Posting Pack\n\nErzeugt für:\n\n`digital-red-flags-fake-invoice-payment-route-30s`\n\nDatei:\n\n`/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/fake_invoice_manual_posting_pack_v1.md`\n\nFinale Video-Datei, Telegram-/Shorts-safe normalisiert:\n\n`/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/manual_upload_v1/digital-red-flags-fake-invoice-payment-route-30s_manual_upload_v1_9x16_sar1.mp4`\n\nVerifikation:\n\n```text\n1080x1920\nSAR: 1:1\nDAR: 9:16\n24 fps\nDauer: 31.400 s\nSHA256: 82e4dba233ffe69315570988faff48bfd1633e02e59377e456ca871febba842c\n```\n\nDas Pack enthält:\n\n- YouTube Shorts Copy\n- TikTok Caption\n- Instagram Reels Caption\n- Hashtags\n- Tags\n- Pinned Comment Suggestion\n- Analytics Template\n- explizit: **No platform upload was performed**\n\n## Nächste 3 ReviewPackages vorbereitet\n\nOhne Rendering. Keine Platform-API. Keine Wan-/I2V-/T2V-Aktion. Keine Styleframe-Batches.\n\nIndex:\n\n`/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/next_three_review_packages_index_v1.md`\n\nEinzeldateien:\n\n1. **Delivery SMS Trap**\n\n`/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/delivery-sms-trap-35s_review_package_v1.md`\n\nHook:\n\n> This delivery text is designed to make you panic.\n\nTakeaway:\n\n> If it makes you hurry, slow down.\n\n2. **Fake Support Pop-up**\n\n`/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/fake-support-popup-call-now-30s_review_package_v1.md`\n\nHook:\n\n> If a website tells you to call support, stop.\n\nTakeaway:\n\n> Real support does not hijack your screen.\n\n3. **Marketplace Buyer Scam**\n\n`/tmp/autoshorts_strategy_repositioning_cybersecurity_beginner/marketplace-buyer-off-platform-30s_review_package_v1.md`\n\nHook:\n\n> The buyer is not buying. They are moving you off-platform.\n\nTakeaway:\n\n> Keep the chat and payment inside the platform.\n\n## Tests\n\nVollständige Test-Suite ausgeführt:\n\n```text\n237 passed in 32.40s\n```\n\n## Git-Status / geänderte Dateien\n\nGeändert:\n\n- `README.md`\n- `autoshorts/config/image_generation_policy.json`\n- `autoshorts/config/pillars.py`\n- `autoshorts/strategy/score.py`\n- `autoshorts/strategy/series.py`\n- `docs/branding_truetrace_strategy.md`\n- `docs/image_generation_guidelines.md`\n- `tests/test_content_series.py`\n- `tests/test_content_strategy_score.py`\n- `tests/test_pillars.py`\n\nNeu:\n\n- `docs/caption_guidelines_digital_red_flags.md`\n- `docs/mockup_safety_guidelines.md`\n- `docs/proof_short_digital_red_flags.md`\n- `docs/scoring_guide_digital_red_flags.md`\n- `docs/truetrace_digital_red_flags_strategy.md`\n\n## Nicht ausgeführt\n\nWie gewünscht:\n\n- kein Auto-Posting\n- keine Plattform-API\n- keine Render-Serie\n- keine Wan-Videos\n- keine AI-Styleframe-Batches\n\n## Mögliche nächste Kommandos\n\nFür Strategie/Review:\n\n`REVIEW_PACKAGE delivery-sms-trap-35s`\n\n`REVIEW_PACKAGE fake-support-popup-call-now-30s`\n\n`REVIEW_PACKAGE marketplace-buyer-off-platform-30s`\n\nFür Rendering nach Freigabe:\n\n`APPROVED_CONCEPT delivery-sms-trap-35s`\n\noder:\n\n`APPROVED_CONCEPT fake-support-popup-call-now-30s`\n\noder:\n\n`APPROVED_CONCEPT marketplace-buyer-off-platform-30s`\n\nFür Fake-Invoice Posting:\n\n`SHOW_MANUAL_POSTING_PACK digital-red-flags-fake-invoice-payment-route-30s`\n\nDie neue Leitplanke steht jetzt sauber im Projekt:\n\n> Wir bauen keinen schönen AI-Film. \n> Wir bauen nützliche Kurzvideos, die normale Menschen vor echten digitalen Fallen schützen."
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]
},
{
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"content": "[Duplicate tool output — same content as a more recent call]",
"tool_call_id": "call_d15NEwCIQNpB1ndIu9HevkHW"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_cFZIWcywwlaCVMazWQ0tnwHI",
"call_id": "call_cFZIWcywwlaCVMazWQ0tnwHI",
"response_item_id": "fc_010f4e1931265670016a16065911b881918203a39c0381169d",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"file_path\":\"references/mobile-vertical-aspect-qa.md\",\"name\":\"social-media-shorts-automation\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[Duplicate tool output — same content as a more recent call]",
"tool_call_id": "call_cFZIWcywwlaCVMazWQ0tnwHI"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_7FkLq9LyFu1QQHJR14nAppRE",
"call_id": "call_7FkLq9LyFu1QQHJR14nAppRE",
"response_item_id": "fc_010f4e1931265670016a16065f8ae88191bd9ae54ee13fa1e3",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python - <<'PY'\\nimport importlib.util\\nprint('edge_tts', importlib.util.find_spec('edge_tts') is not None)\\nprint('PIL', importlib.util.find_spec('PIL') is not None)\\nPY\",\"timeout\":120}"
}
}
],
"finish_reason": "tool_calls",
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{
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},
{
"role": "tool",
"content": "{\"output\": \"edge_tts True\\nPIL True\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_7FkLq9LyFu1QQHJR14nAppRE"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_xxecebEo0YxBx9Z5X4xDjrNv",
"call_id": "call_xxecebEo0YxBx9Z5X4xDjrNv",
"response_item_id": "fc_010f4e1931265670016a16066fc6b0819180322eb7eb41bc9d",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"path\":\"/tmp/autoshorts_delivery_sms_trap_render.py\",\"content\":\"from __future__ import annotations\\n\\nimport asyncio\\nimport json\\nimport math\\nimport re\\nimport subprocess\\nfrom pathlib import Path\\n\\nimport edge_tts\\nimport numpy as np\\nfrom PIL import Image, ImageDraw, ImageFont, ImageFilter\\n\\nOUT = Path('/tmp/autoshorts_delivery_sms_trap_35s/postpreview_v1')\\nOUT.mkdir(parents=True, exist_ok=True)\\nFRAMES = OUT / 'frames'\\nFRAMES.mkdir(exist_ok=True)\\nAUDIO = OUT / 'delivery_sms_trap_voice.mp3'\\nASS = OUT / 'captions.ass'\\nRAW_VIDEO = OUT / 'delivery-sms-trap-35s_raw.mp4'\\nFINAL_VIDEO = OUT / 'delivery-sms-trap-35s_postpreview_v1.mp4'\\nCONTACT = OUT / 'render_contact_sheet_v1.jpg'\\nMETA = OUT / 'metadata.json'\\nW, H = 1080, 1920\\nFPS = 24\\nVOICE = 'en-US-GuyNeural'\\n\\nSCRIPT = [\\n ('This delivery text is designed to make you panic.', 0.0),\\n ('It looks normal.', 3.2),\\n ('A package.', 4.6),\\n ('A tiny fee.', 5.6),\\n ('A deadline.', 6.7),\\n ('The red flag is the pressure.', 8.4),\\n ('Scammers want you to tap before you think.', 11.7),\\n (\\\"Don't tap the link.\\\", 16.0),\\n ('Open the delivery app yourself.', 18.2),\\n ('If it is real, it will still be there.', 21.2),\\n ('Save this.', 25.2),\\n ('Small fee.', 26.6),\\n ('Short deadline.', 27.7),\\n ('Suspicious link.', 28.8),\\n ('If it makes you hurry, slow down.', 31.0),\\n]\\nFULL_TEXT = ' '.join(s for s, _ in SCRIPT)\\n\\n\\ndef font(size: int, bold: bool = False):\\n paths = [\\n '/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf' if bold else '/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf',\\n '/usr/share/fonts/truetype/liberation2/LiberationSans-Bold.ttf' if bold else '/usr/share/fonts/truetype/liberation2/LiberationSans-Regular.ttf',\\n ]\\n for p in paths:\\n if Path(p).exists():\\n return ImageFont.truetype(p, size)\\n return ImageFont.load_default()\\n\\nF_TITLE = font(66, True)\\nF_BIG = font(58, True)\\nF_MED = font(42, True)\\nF_BODY = font(36)\\nF_BODY_B = font(36, True)\\nF_SMALL = font(28)\\nF_CAP = font(64, True)\\nF_CAP_SMALL = font(52, True)\\n\\n\\ndef rr(draw, xy, r, fill, outline=None, width=1):\\n draw.rounded_rectangle(xy, radius=r, fill=fill, outline=outline, width=width)\\n\\n\\ndef text_center(draw, xy, text, fnt, fill):\\n x1, y1, x2, y2 = xy\\n b = draw.textbbox((0, 0), text, font=fnt)\\n draw.text(((x1+x2-(b[2]-b[0]))/2, (y1+y2-(b[3]-b[1]))/2), text, font=fnt, fill=fill)\\n\\n\\ndef wrap_text(draw, text, fnt, max_w):\\n words = text.split()\\n lines=[]; cur=''\\n for w in words:\\n cand=(cur+' '+w).strip()\\n if draw.textbbox((0,0), cand, font=fnt)[2] <= max_w or not cur:\\n cur=cand\\n else:\\n lines.append(cur); cur=w\\n if cur: lines.append(cur)\\n return lines\\n\\n\\ndef draw_bg(draw, t):\\n # dark blue/black gradient with subtle red urgency glow in hook scenes\\n for y in range(0, H, 6):\\n v = int(10 + 22*y/H)\\n draw.rectangle((0,y,W,y+6), fill=(5, 9+v//2, 18+v))\\n # danger glow pulse\\n pulse = 0.5 + 0.5*math.sin(t*2.2)\\n if t < 15:\\n overlay = Image.new('RGBA', (W,H), (0,0,0,0))\\n od = ImageDraw.Draw(overlay)\\n for r in range(420, 980, 80):\\n alpha = int(42*pulse*(1-r/1100))\\n od.ellipse((W//2-r, 170-r, W//2+r, 170+r), fill=(255, 72, 50, max(0, alpha)))\\n return overlay\\n return None\\n\\n\\ndef draw_phone(draw, x, y, w, h, t, mode):\\n rr(draw, (x, y, x+w, y+h), 70, (20, 24, 33), (95, 104, 122), 4)\\n rr(draw, (x+24, y+24, x+w-24, y+h-24), 52, (235, 239, 245), None)\\n # notch\\n rr(draw, (x+w//2-95, y+36, x+w//2+95, y+66), 18, (18, 20, 27))\\n sx, sy, sw, sh = x+48, y+96, w-96, h-150\\n if mode in {'sms','detail','redflag'}:\\n draw.text((sx, sy), 'Messages', font=F_MED, fill=(28,38,55))\\n draw.text((sx, sy+56), 'Today 18:42', font=F_SMALL, fill=(115,123,135))\\n rr(draw, (sx, sy+110, sx+sw, sy+520), 32, (255,255,255), (214,220,230), 2)\\n draw.text((sx+28, sy+138), 'Parcel Notice', font=F_BODY_B, fill=(31,39,52))\\n lines = [\\n 'Your package is on hold.',\\n 'Pay CHF 1.95 customs fee.',\\n 'Delivery expires today.',\\n 'delivery.example.com/hold'\\n ]\\n yy = sy+205\\n for i,line in enumerate(lines):\\n col=(35,45,62)\\n if i==1: col=(164,54,38)\\n if i==2: col=(190,72,35)\\n if i==3: col=(32,92,186)\\n draw.text((sx+28, yy), line, font=F_BODY, fill=col)\\n yy += 62\\n rr(draw, (sx+28, sy+455, sx+sw-28, sy+505), 22, (230,60,48))\\n text_center(draw, (sx+28, sy+455, sx+sw-28, sy+505), 'PAY NOW', F_BODY_B, (255,255,255))\\n if mode == 'redflag':\\n # deterministic highlight around pressure details, not arrows/extra focus lines in final standard? red translucent UI state is okay\\n rr(draw, (sx+18, sy+250, sx+sw-18, sy+378), 26, (255,226,217), (220,68,48), 4)\\n draw.text((sx+42, sy+272), 'Tiny fee + deadline', font=F_BODY_B, fill=(135,38,30))\\n draw.text((sx+42, sy+326), 'The red flag is pressure.', font=F_BODY, fill=(135,38,30))\\n elif mode == 'safe':\\n draw.text((sx, sy), 'Home Screen', font=F_MED, fill=(28,38,55))\\n apps=[('Delivery', (38,132,255)),('Bank', (53,180,120)),('Mail',(110,124,255)),('Browser',(255,152,45))]\\n for idx,(name,col) in enumerate(apps):\\n ax=sx+48+(idx%2)*210; ay=sy+150+(idx//2)*190\\n rr(draw,(ax,ay,ax+112,ay+112),28,col)\\n text_center(draw,(ax-35,ay+124,ax+147,ay+160),name,F_SMALL,(38,44,55))\\n rr(draw,(sx+36,sy+560,sx+sw-36,sy+710),30,(230,248,239),(72,172,110),3)\\n draw.text((sx+70, sy+590), 'Safer move', font=F_BODY_B, fill=(36,106,66))\\n draw.text((sx+70, sy+642), 'Open the app yourself.', font=F_BODY, fill=(36,86,58))\\n\\n\\ndef draw_scene(t):\\n img = Image.new('RGB',(W,H),(8,14,28))\\n draw=ImageDraw.Draw(img)\\n overlay = draw_bg(draw, t)\\n if overlay:\\n img = Image.alpha_composite(img.convert('RGBA'), overlay).convert('RGB')\\n draw=ImageDraw.Draw(img)\\n # top brand pill\\n rr(draw,(54,54,404,112),29,(20,30,48),(80,96,128),2)\\n draw.text((82,69),'TRUE TRACE SHORTS',font=F_SMALL,fill=(226,235,248))\\n if t < 2.4:\\n draw.text((74,150),'DELIVERY TEXT',font=F_TITLE,fill=(255,255,255))\\n draw.text((74,222),'designed to make you panic',font=F_MED,fill=(255,210,90))\\n draw_phone(draw, 250, 420, 580, 1020, t, 'sms')\\n elif t < 7.5:\\n draw.text((74,150),'It feels normal.',font=F_TITLE,fill=(255,255,255))\\n draw.text((74,226),'Package. Tiny fee. Deadline.',font=F_MED,fill=(230,236,248))\\n draw_phone(draw, 250, 395, 580, 1040, t, 'detail')\\n elif t < 15.5:\\n draw.text((74,150),'The red flag:',font=F_TITLE,fill=(255,255,255))\\n draw.text((74,226),'pressure',font=font(76,True),fill=(255,210,90))\\n draw_phone(draw, 250, 395, 580, 1040, t, 'redflag')\\n elif t < 24.5:\\n draw.text((74,150),\\\"Don't tap the link.\\\",font=F_TITLE,fill=(255,255,255))\\n draw.text((74,226),'Open the app yourself.',font=F_MED,fill=(135,245,176))\\n draw_phone(draw, 250, 395, 580, 1040, t, 'safe')\\n elif t < 30.5:\\n draw.text((74,150),'SAVE THIS',font=font(82,True),fill=(255,255,255))\\n rr(draw,(104,340,976,1220),46,(238,242,249),(144,158,185),3)\\n draw.text((164,420),'Delivery text?',font=font(62,True),fill=(22,34,54))\\n draw.text((164,535),'Check:',font=F_BIG,fill=(64,76,98))\\n items=['Small fee?','Short deadline?','Suspicious link?']\\n yy=670\\n for item in items:\\n rr(draw,(164,yy,228,yy+64),18,(255,210,90))\\n text_center(draw,(164,yy,228,yy+64),'✓',F_MED,(35,42,55))\\n draw.text((260,yy+6),item,font=F_BIG,fill=(25,35,55))\\n yy+=118\\n draw.text((164,1085),'Open the app yourself.',font=F_MED,fill=(38,118,72))\\n else:\\n draw.text((74,310),'If it makes you hurry,',font=font(72,True),fill=(255,255,255))\\n draw.text((74,410),'slow down.',font=font(96,True),fill=(255,210,90))\\n rr(draw,(104,650,976,900),44,(236,245,255),(118,142,188),3)\\n draw.text((150,705),'Follow for one red flag',font=F_BIG,fill=(22,34,54))\\n draw.text((150,790),'before you click.',font=F_BIG,fill=(22,34,54))\\n # subtle bottom safe area; captions added by ASS later, keep dark underlay gradient only\\n return img\\n\\nasync def tts():\\n communicate = edge_tts.Communicate(FULL_TEXT, VOICE, rate='-3%', volume='+0%')\\n words=[]\\n with AUDIO.open('wb') as f:\\n async for chunk in communicate.stream():\\n if chunk['type'] == 'audio':\\n f.write(chunk['data'])\\n elif chunk['type'] == 'WordBoundary':\\n words.append({\\n 'word': chunk['text'],\\n 'start': chunk['offset']/10_000_000,\\n 'duration': chunk['duration']/10_000_000,\\n })\\n return words\\n\\n\\ndef probe_duration(path):\\n out=subprocess.check_output(['ffprobe','-v','error','-show_entries','format=duration','-of','default=nw=1:nk=1',str(path)], text=True)\\n return float(out.strip())\\n\\n\\ndef words_to_phrases(words):\\n # Use punctuation-informed target phrases from script; assign contiguous words by count.\\n phrases=[]; idx=0\\n for sentence,_ in SCRIPT:\\n toks=re.findall(r\\\"[A-Za-z']+\\\", sentence)\\n n=len(toks)\\n sent_words=words[idx:idx+n]\\n idx+=n\\n # split long sentences manually into chunks <= 6 words\\n chunks=[]\\n cur=[]\\n for w in sent_words:\\n cur.append(w)\\n if len(cur)>=6:\\n chunks.append(cur); cur=[]\\n if cur: chunks.append(cur)\\n phrases.extend(chunks)\\n return phrases\\n\\n\\ndef ass_escape(s):\\n return s.replace('{','').replace('}','')\\n\\n\\ndef make_ass(words, duration):\\n phrases=words_to_phrases(words)\\n lines=[\\n '[Script Info]',\\n 'ScriptType: v4.00+',\\n 'PlayResX: 1080',\\n 'PlayResY: 1920',\\n 'WrapStyle: 2',\\n '',\\n '[V4+ Styles]',\\n 'Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding',\\n 'Style: Default,DejaVu Sans,60,&H00FFFFFF,&H0000D7FF,&HCC07101E,&H00000000,-1,0,0,0,100,100,0,0,1,4,2,2,70,70,190,1',\\n '',\\n '[Events]',\\n 'Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text',\\n ]\\n def ts(sec):\\n sec=max(0,sec); h=int(sec//3600); m=int((sec%3600)//60); s=sec%60\\n return f'{h}:{m:02d}:{s:05.2f}'\\n for phrase in phrases:\\n if not phrase: continue\\n pstart=phrase[0]['start']; pend=phrase[-1]['start']+phrase[-1]['duration']+0.12\\n for i,w in enumerate(phrase):\\n start=w['start']; end=(phrase[i+1]['start'] if i+1=6:\\n phrases.append(cur); cur=[]\\n if cur: phrases.append(cur)\\n\\ndef ts(sec):\\n sec=max(0,sec); h=int(sec//3600); m=int((sec%3600)//60); s=sec%60\\n return f'{h}:{m:02d}:{s:05.2f}'\\nlines=['[Script Info]','ScriptType: v4.00+','PlayResX: 1080','PlayResY: 1920','WrapStyle: 2','','[V4+ Styles]','Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding','Style: Default,DejaVu Sans,60,&H00FFFFFF,&H0000D7FF,&HCC07101E,&H00000000,-1,0,0,0,100,100,0,0,1,4,2,2,70,70,190,1','','[Events]','Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text']\\nfor phrase in phrases:\\n pend=phrase[-1]['start']+phrase[-1]['duration']+0.08\\n for i,w in enumerate(phrase):\\n start=w['start']; end=(phrase[i+1]['start'] if i+1/tmp/delivery_render.log && python - <<'PY'\\n# regenerate manual ASS because edge word boundaries are unavailable in this environment\\nfrom pathlib import Path\\nimport re, subprocess, json\\nOUT=Path('/tmp/autoshorts_delivery_sms_trap_35s/postpreview_v1')\\nASS=OUT/'captions.ass'; AUDIO=OUT/'delivery_sms_trap_voice.mp3'; FRAMES=OUT/'frames'; FINAL=OUT/'delivery-sms-trap-35s_postpreview_v1.mp4'\\nSCRIPT=[('This delivery text is designed to make you panic.',0.0),('It looks normal.',3.2),('A package.',4.6),('A tiny fee.',5.6),('A deadline.',6.7),('The red flag is the pressure.',8.4),('Scammers want you to tap before you think.',11.7),(\\\"Don\\\\'t tap the link.\\\",16.0),('Open the delivery app yourself.',18.2),('If it is real, it will still be there.',21.2),('Save this.',25.2),('Small fee.',26.6),('Short deadline.',27.7),('Suspicious link.',28.8),('If it makes you hurry, slow down.',31.0)]\\nD=float(subprocess.check_output(['ffprobe','-v','error','-show_entries','format=duration','-of','default=nw=1:nk=1',str(AUDIO)], text=True).strip())+0.45\\nwords=[]\\nfor idx,(sent,start) in enumerate(SCRIPT):\\n end=SCRIPT[idx+1][1]-0.15 if idx+1=6: phrases.append(cur); cur=[]\\n if cur: phrases.append(cur)\\ndef ts(sec):\\n h=int(sec//3600); m=int((sec%3600)//60); s=sec%60; return f'{h}:{m:02d}:{s:05.2f}'\\nlines=['[Script Info]','ScriptType: v4.00+','PlayResX: 1080','PlayResY: 1920','WrapStyle: 2','','[V4+ Styles]','Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding','Style: Default,DejaVu Sans,60,&H00FFFFFF,&H0000D7FF,&HCC07101E,&H00000000,-1,0,0,0,100,100,0,0,1,4,2,2,70,70,190,1','','[Events]','Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text']\\nfor phrase in phrases:\\n pend=phrase[-1]['start']+phrase[-1]['duration']+0.08\\n for i,w in enumerate(phrase):\\n start=w['start']; end=phrase[i+1]['start'] if i+1 This delivery text is designed to make you panic.\n\n**Takeaway:** \n> If it makes you hurry, slow down.\n\nMEDIA:/tmp/autoshorts_delivery_sms_trap_35s/postpreview_v1/delivery-sms-trap-35s_postpreview_v1.mp4\n\n## QA\n\nVerifiziert:\n\n```text\n1080x1920\nSAR: 1:1\nDAR: 9:16\n24 fps\nDauer: 35.424 s\nAudio: vorhanden\nActive-word subtitles: vorhanden\nSHA256: 39de6f363e1779a6068c5153f5fc17df832bfd240463e3b739fd3491cb49f648\n```\n\n## Inhalt / Safety\n\n- Deterministisches Mockup, keine AI-Styleframe-Batches.\n- Keine echten Marken.\n- Keine echten Telefonnummern.\n- Kein QR-Code.\n- Keine realen Bank-/Personendaten.\n- Fake-Link nutzt `example.com`.\n- Erstes Bild zeigt direkt: Paket-SMS + kleine Gebühr + Zeitdruck.\n- Sprache bewusst einfach gehalten.\n\n## Social Draft\n\n**Caption:**\n\nA common red flag is pressure: a tiny fee, a short deadline, and a link. \nDon’t tap the link. Open the app yourself.\n\n**Hashtags:**\n\n`#ScamAwareness #CyberSafety #DigitalRedFlags #DeliveryScam #TrueTraceShorts`\n\n## Freigabe\n\nWenn passend:\n\n`APPROVED_POSTPREVIEW delivery-sms-trap-35s v1`\n\nWenn ändern:\n\n`REVISE_POSTPREVIEW delivery-sms-trap-35s \"...\"`",
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"type": "message",
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{
"type": "output_text",
"text": "Erledigt — nächstes Video ist gebaut: **Delivery SMS Trap**.\n\n## Postpreview zur Freigabe\n\n**Candidate:** `delivery-sms-trap-35s` \n**Serie:** `Before You Click` / `One Screen. One Red Flag.` \n**Hook:** \n> This delivery text is designed to make you panic.\n\n**Takeaway:** \n> If it makes you hurry, slow down.\n\nMEDIA:/tmp/autoshorts_delivery_sms_trap_35s/postpreview_v1/delivery-sms-trap-35s_postpreview_v1.mp4\n\n## QA\n\nVerifiziert:\n\n```text\n1080x1920\nSAR: 1:1\nDAR: 9:16\n24 fps\nDauer: 35.424 s\nAudio: vorhanden\nActive-word subtitles: vorhanden\nSHA256: 39de6f363e1779a6068c5153f5fc17df832bfd240463e3b739fd3491cb49f648\n```\n\n## Inhalt / Safety\n\n- Deterministisches Mockup, keine AI-Styleframe-Batches.\n- Keine echten Marken.\n- Keine echten Telefonnummern.\n- Kein QR-Code.\n- Keine realen Bank-/Personendaten.\n- Fake-Link nutzt `example.com`.\n- Erstes Bild zeigt direkt: Paket-SMS + kleine Gebühr + Zeitdruck.\n- Sprache bewusst einfach gehalten.\n\n## Social Draft\n\n**Caption:**\n\nA common red flag is pressure: a tiny fee, a short deadline, and a link. \nDon’t tap the link. Open the app yourself.\n\n**Hashtags:**\n\n`#ScamAwareness #CyberSafety #DigitalRedFlags #DeliveryScam #TrueTraceShorts`\n\n## Freigabe\n\nWenn passend:\n\n`APPROVED_POSTPREVIEW delivery-sms-trap-35s v1`\n\nWenn ändern:\n\n`REVISE_POSTPREVIEW delivery-sms-trap-35s \"...\"`"
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"phase": "final_answer"
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"finish_reason": "stop"
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{
"role": "user",
"content": "[M G] Ok, konzept ok. Nun mit hochwertigen derailierten KI Bildern gemäss definiertem Standard."
},
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"reasoning": "**Planning video creation**\n\nI need to act and focus on using the relevant skills I've already accessed. The goal is to create an upgraded video featuring high-quality AI images that meet specific standards, specifically with AI images. I’ll leverage tools like image_generate for premium backgrounds and combine those with deterministic phone screens over the AI environments. \n\nI plan to create three to four dramatic AI portrait backgrounds, ensuring there's no readable text, and I’ll work on rendering the phone mockups onto these backgrounds. I'll also modify the existing script to load the generated images effectively.",
"finish_reason": "tool_calls",
"reasoning_content": "**Planning video creation**\n\nI need to act and focus on using the relevant skills I've already accessed. The goal is to create an upgraded video featuring high-quality AI images that meet specific standards, specifically with AI images. I’ll leverage tools like image_generate for premium backgrounds and combine those with deterministic phone screens over the AI environments. \n\nI plan to create three to four dramatic AI portrait backgrounds, ensuring there's no readable text, and I’ll work on rendering the phone mockups onto these backgrounds. I'll also modify the existing script to load the generated images effectively.",
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"content": "{\"success\": true, \"name\": \"social-media-shorts-automation\", \"file\": \"references/proof-short-ai-background-rendering-qa.md\", \"content\": \"# Proof Short AI Background Rendering + QA\\n\\nUse this after a Proof Short has validated the real viewer problem and the user wants the video to look more premium without losing factual/control safety.\\n\\n## Pattern\\n\\n```text\\nAI image layer = text-free atmosphere/background/keyframes\\nDeterministic renderer = invoice, email, UI, payment route, labels, facts, captions, claims\\n```\\n\\nThis is especially useful for scam-awareness, finance, invoice, email, cybersecurity, health, or other high-trust topics where generated text or UI could become misleading.\\n\\n## Generation scope\\n\\nGenerate only a small set of text-free keyframes, usually 2–3:\\n\\n- provider/model: highest available reasonable GPT Image tier, e.g. `openai-codex` + `gpt-image-2-high`\\n- aspect: vertical 9:16 / portrait\\n- purpose: premium atmosphere only\\n- no readable text, logos, brands, QR/barcodes, people/hands, company names, bank data, account numbers, invoice IDs, addresses, watermarks, pseudo-writing\\n- ask for clean negative space for renderer-owned captions/UI overlays\\n\\nDo not generate the invoice/email/payment-route itself. Those remain renderer-owned.\\n\\n## QA and selection\\n\\nDo not blindly use every generated keyframe. Create a quick contact sheet and inspect before render.\\n\\nReject/discard a keyframe if it contains:\\n\\n- pseudo-readable document lines or fake text that might be interpreted as content\\n- brand-like marks/logos\\n- QR/barcodes\\n- people/hands if not explicitly desired\\n- bank/payment/account-like details\\n- overly busy composition that competes with captions or deterministic UI\\n\\nIt is acceptable, and often correct, to generate 3 and use only 2. Record discarded images and why.\\n\\n## Rendering treatment\\n\\nKeep AI backgrounds subordinate to the truth layer:\\n\\n- cover-crop to 9:16\\n- add subtle deterministic push-in if needed\\n- blur very slightly if background details compete with foreground\\n- darken/desaturate or add translucent navy overlay so UI/captions remain readable\\n- place deterministic invoice/email/payment-route overlays above the background\\n- keep active-word captions and safe-zone bounds unchanged from the approved proof short\\n\\nThe upgrade should look more premium, but the first-second visible fail must remain obvious.\\n\\n## Review package fields\\n\\nInclude:\\n\\n- `visual_upgrade_mode: ai_background_plus_deterministic_mockups`\\n- AI provider/model/quality\\n- generated keyframe count\\n- used keyframe count\\n- discarded keyframe count + discard reasons\\n- per-image path/SHA256/resolution\\n- statement that all UI/invoice/payment-route/factual/caption layers are deterministic renderer-owned\\n- `wan_used: false`, `i2v_used: false`, `t2v_used: false` unless separately approved\\n- visual QA result\\n- AI disclosure note\\n\\n## AI disclosure stance\\n\\nIf only text-free atmospheric backgrounds are AI-generated and there are no realistic synthetic people or real-event depictions, platform synthetic-media disclosure is often not mandatory. Still include a conservative note: if the platform UI asks whether AI-assisted media was used, disclose according to that prompt.\\n\\n## Pitfall\\n\\nDo not let AI polish reintroduce the old failure mode: pretty but semantically weak. The deterministic foreground must still answer in the first second: what is broken, where is the fail, what is at stake, and what rule fixes it.\", \"file_type\": \".md\"}",
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"content": "{\"success\": true, \"name\": \"social-media-shorts-automation\", \"file\": \"references/mobile-vertical-aspect-qa.md\", \"content\": \"# Mobile vertical aspect QA and repair\\n\\nUse this when a short/reel/Telegram preview appears with black bars at top/bottom, wrong aspect ratio, or the visible image looks vertically compressed even though the source clip was intended as 9:16.\\n\\n## Durable lesson\\n\\nDo not rely on nominal source dimensions alone. A clip can be near-vertical, but still display badly on mobile platforms if the export lacks explicit square-pixel and display-aspect metadata, or if an assembly step has letterboxed instead of producing a true vertical canvas.\\n\\n## Required checks\\n\\nProbe every final-near MP4 before delivery:\\n\\n```bash\\nffprobe -v error -select_streams v:0 \\\\\\n -show_entries stream=width,height,sample_aspect_ratio,display_aspect_ratio \\\\\\n -show_entries format=duration \\\\\\n -of json path/to/video.mp4\\n```\\n\\nExpected mobile-safe target for Shorts/Reels/TikTok review exports:\\n\\n- `width=1080`\\n- `height=1920`\\n- `sample_aspect_ratio=1:1`\\n- `display_aspect_ratio=9:16`\\n- no visible black bars in extracted QA frames\\n\\nExtract a frame for visual QA:\\n\\n```bash\\nffmpeg -y -hide_banner -loglevel error -i path/to/video.mp4 \\\\\\n -vf \\\"select=eq(n\\\\,10)\\\" -frames:v 1 /tmp/frame.png\\n```\\n\\nInspect the frame for top/bottom black bars and obvious squeezing before sending to the user.\\n\\n## Repair command\\n\\nFor source clips that should fill a vertical mobile canvas, create a post-render normalized export:\\n\\n```bash\\nffmpeg -y -hide_banner -loglevel error -i input.mp4 \\\\\\n -vf \\\"scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,setsar=1,setdar=9/16,format=yuv420p\\\" \\\\\\n -c:v libx264 -preset veryfast -crf 18 -movflags +faststart -an \\\\\\n output_1080x1920_sar1.mp4\\n```\\n\\nUse `increase,crop` for full-bleed visual proofs where black bars are unacceptable. Use `decrease,pad` only when preserving every pixel is more important than full-screen mobile presentation, and label it as letterboxed.\\n\\n## Workflow rule\\n\\nIf the user reports black bars or squeezed height, treat it as a blocking export QA issue:\\n\\n1. Probe the delivered MP4 metadata.\\n2. Extract at least one representative frame.\\n3. Inspect the extracted frame itself before changing the image geometry.\\n4. If metadata is wrong, re-export with explicit 1080x1920, `setsar=1`, `setdar=9/16`.\\n5. If the extracted frame contains baked-in top/bottom bars, only then use a full-bleed crop/scale repair and label it as geometry-changing.\\n6. If metadata is correct and extracted frames are vertical/full-frame, suspect the Telegram/mobile player UI first. Re-deliver the verified original instead of stretching/cropping.\\n7. Probe the final file and report the verified SAR/DAR.\\n8. Deliver the corrected or verified media, not a theory lecture.\\n\\n## Telegram/player false-positive pattern\\n\\nA Telegram player can show apparent top/bottom bars or a square-looking preview even when the underlying MP4 is valid 9:16. Before destructive repair, compare:\\n\\n- `ffprobe` metadata: `width=1080 height=1920 SAR=1:1 DAR=9:16`\\n- extracted frame dimensions: `1080x1920`\\n- visual QA of the extracted frame, not just Telegram's inline player\\n\\nIf all three pass, do **not** crop/stretch. Tell the user the player is the likely cause and keep the unwarped file as canonical. Crop/stretch variants are review experiments only and should be discarded if the player diagnosis is confirmed.\\n\\n## Pitfalls\\n\\n- Do not say “the source is 9:16 enough” based on dimensions like `416x736` alone. Platform players can still expose metadata or canvas mistakes. Verify the final delivered artifact.\\n- Do not overcorrect by stretching a valid 9:16 video just because Telegram preview looks wrong. Destructive geometry repair can make the real asset worse.\", \"file_type\": \".md\"}",
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"content": "{\"success\": true, \"name\": \"social-media-shorts-automation\", \"file\": \"references/social-draft-approval-package.md\", \"content\": \"# Social Draft Approval Package Pattern\\n\\nUse this when moving from render planning toward the first user-facing social-media post draft for approval.\\n\\n## Goal\\n\\nProduce a complete approval draft before TTS, video rendering, or platform APIs:\\n\\n```text\\nVideoCandidate + RenderManifest/Preview\\n→ SocialMediaDraft\\n→ SocialMediaDraft review text\\n→ side-effect-free delivery plan\\n→ demo CLI output\\n```\\n\\nThis gives the user a concrete post candidate to approve or revise while still avoiding accidental publishing, external calls, and wasted GPU/TTS work.\\n\\n## Recommended typed artifacts\\n\\n1. `SocialMediaDraft`\\n - candidate id\\n - target platforms: YouTube Shorts, TikTok, Instagram Reels\\n - title variants\\n - caption\\n - hashtags\\n - CTA\\n - hook\\n - planned duration\\n - quality/risk summary\\n - preview reference, e.g. HTML timeline available or MP4 pending\\n - `requires_human_approval=True`\\n - `side_effects=()`\\n\\n2. Social review renderer\\n - Telegram-safe text block\\n - includes candidate, platforms, hook, titles, caption, hashtags, preview note, quality/risk summary\\n - includes approval commands: `Freigabe alle`, platform-specific approvals, `Ablehnen`, `Ändern: <...>`\\n - must not imply automatic upload or publishing\\n\\n3. Draft delivery preparation\\n - validates message length and safety language\\n - returns typed delivery plan with `requires_human_approval=True` and `side_effects=()`\\n - no Telegram API call yet\\n\\n4. Demo CLI\\n - e.g. `python -m autoshorts.cli.demo_social_draft`\\n - prints delivery metadata first, then the review text\\n - no file writes, platform calls, renderer calls, or credential access\\n\\n## Sequence before TTS\\n\\nDo not start with TTS. First get approval on the content package:\\n\\n```text\\nContentBrief\\n→ ScriptDraft\\n→ VideoCandidate\\n→ ShotPlan\\n→ RenderManifest\\n→ Preview\\n→ SocialMediaDraft\\n→ Review text\\n→ Approval delivery preview\\n```\\n\\nA robust implementation can be split into small TDD slices:\\n\\n1. `social/draft.py` — `build_social_media_draft(candidate, preview)` and `validate_social_media_draft(draft)`.\\n2. `social/review.py` — `render_social_media_draft_review(draft)` for Telegram-safe approval text.\\n3. `social/delivery.py` — `prepare_social_draft_delivery(text, topic=\\\"review\\\")` returning a side-effect-free delivery object.\\n4. `cli/demo_social_draft.py` — local demo command that prints metadata first, then the review text.\\n\\nRecommended invariant tests for every slice:\\n\\n- `requires_human_approval is True`\\n- `side_effects == ()`\\n- no platform API calls, Telegram calls, renderer calls, file writes, or credential access\\n- review/delivery text stays under Telegram's 4096-character limit\\n- review/delivery text does not contain `publish` or `post`\\n- platform labels are human-readable (`YouTube Shorts`, `TikTok`, `Instagram Reels`) while stored platform ids remain normalized (`youtube`, `tiktok`, `instagram`)\\n- preview script/reference matches the candidate source brief before building the social draft\\n\\nOnly after the draft is structurally approved should TTS design start:\\n\\n- voice selection\\n- final voiceover script\\n- words-per-second / timing\\n- caption sync\\n- audio format\\n- provider choice\\n- separate voice approval if needed\\n\\n## Guardrails\\n\\n- No credentials in draft output.\\n- No platform API calls.\\n- No publish/post semantics except inside explicit approval-command documentation if the codebase already uses that language carefully.\\n- Preview references are allowed; generated media paths should be placeholders unless a later renderer created real artifacts.\\n- Keep captions, numbers, labels, arrows, UI text, claims, and platform metadata renderer-owned / system-owned, never baked into generated AI assets.\\n\", \"file_type\": \".md\"}",
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"
}
}
],
"tool_call_id": "call_koF380znbgEPpFyXhiTEenGC"
},
{
"role": "assistant",
"content": "",
"reasoning": "**Improving render quality**\n\nI'm looking at the backgrounds and deciding which ones to keep. The second background with a barcode label is a discard, but the third one with no text seems okay. I want to render the upgraded version, using a script that adapts AI backgrounds to fill a 1080x1920 space with a blurred and darkened effect. Since the AI background already has a phone/box, I can draw the phone over it, but keeping high-quality detailed images is essential. I'm considering creating a compositing script to manage these layers effectively.\n**Creating a rendering script**\n\nI'm planning to create a new script, `render_ai_upgrade.py`, based on the original one, possibly simplifying functions by importing from a temporary location. I might import the render script as a module and use monkey patching for functions like `draw_bg` and `draw_scene`. Instead of executing a risky code patch directly, I think it’s safer to modify paths and functions in the original script. I need to ensure that the frame count remains the same while managing background compositing effectively. Using a copy of the original script for these changes seems like a good idea.",
"finish_reason": "tool_calls",
"reasoning_content": "**Improving render quality**\n\nI'm looking at the backgrounds and deciding which ones to keep. The second background with a barcode label is a discard, but the third one with no text seems okay. I want to render the upgraded version, using a script that adapts AI backgrounds to fill a 1080x1920 space with a blurred and darkened effect. Since the AI background already has a phone/box, I can draw the phone over it, but keeping high-quality detailed images is essential. I'm considering creating a compositing script to manage these layers effectively.\n**Creating a rendering script**\n\nI'm planning to create a new script, `render_ai_upgrade.py`, based on the original one, possibly simplifying functions by importing from a temporary location. I might import the render script as a module and use monkey patching for functions like `draw_bg` and `draw_scene`. Instead of executing a risky code patch directly, I think it’s safer to modify paths and functions in the original script. I need to ensure that the frame count remains the same while managing background compositing effectively. Using a copy of the original script for these changes seems like a good idea.",
"codex_reasoning_items": [
{
"type": "reasoning",
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"id": "rs_010f4e1931265670016a160944a1408191bef08d200c1ecc32",
"summary": [
{
"type": "summary_text",
"text": "**Improving render quality**\n\nI'm looking at the backgrounds and deciding which ones to keep. The second background with a barcode label is a discard, but the third one with no text seems okay. I want to render the upgraded version, using a script that adapts AI backgrounds to fill a 1080x1920 space with a blurred and darkened effect. Since the AI background already has a phone/box, I can draw the phone over it, but keeping high-quality detailed images is essential. I'm considering creating a compositing script to manage these layers effectively."
},
{
"type": "summary_text",
"text": "**Creating a rendering script**\n\nI'm planning to create a new script, `render_ai_upgrade.py`, based on the original one, possibly simplifying functions by importing from a temporary location. I might import the render script as a module and use monkey patching for functions like `draw_bg` and `draw_scene`. Instead of executing a risky code patch directly, I think it’s safer to modify paths and functions in the original script. I need to ensure that the frame count remains the same while managing background compositing effectively. Using a copy of the original script for these changes seems like a good idea."
}
]
}
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"arguments": "{\"command\":\"cp /tmp/autoshorts_delivery_sms_trap_render.py /tmp/autoshorts_delivery_sms_trap_render_ai_upgrade.py\\npython - <<'PY'\\nfrom pathlib import Path\\np=Path('/tmp/autoshorts_delivery_sms_trap_render_ai_upgrade.py')\\ns=p.read_text()\\ns=s.replace(\\\"OUT = Path('/tmp/autoshorts_delivery_sms_trap_35s/postpreview_v1')\\\", \\\"OUT = Path('/tmp/autoshorts_delivery_sms_trap_35s/ai_visual_upgrade_v1/postpreview_v2')\\\")\\ns=s.replace(\\\"RAW_VIDEO = OUT / 'delivery-sms-trap-35s_raw.mp4'\\\", \\\"RAW_VIDEO = OUT / 'delivery-sms-trap-35s_ai_visual_upgrade_raw.mp4'\\\")\\ns=s.replace(\\\"FINAL_VIDEO = OUT / 'delivery-sms-trap-35s_postpreview_v1.mp4'\\\", \\\"FINAL_VIDEO = OUT / 'delivery-sms-trap-35s_ai_visual_upgrade_v2.mp4'\\\")\\ns=s.replace(\\\"CONTACT = OUT / 'render_contact_sheet_v1.jpg'\\\", \\\"CONTACT = OUT / 'render_contact_sheet_ai_visual_upgrade_v2.jpg'\\\")\\ninsert=\\\"\\\"\\\"\\nAI_BG_HOOK = Path('/tmp/autoshorts_delivery_sms_trap_35s/ai_visual_upgrade_v1/ai_bg_01.png')\\nAI_BG_SAFE = Path('/tmp/autoshorts_delivery_sms_trap_35s/ai_visual_upgrade_v1/ai_bg_03.png')\\n\\n\\ndef cover_image(path: Path, t: float, *, safe: bool=False):\\n src = Image.open(path).convert('RGB')\\n # deterministic subtle push-in; cover crop to exact 1080x1920\\n scale = max(W/src.width, H/src.height) * (1.03 + 0.018*math.sin(t*0.35))\\n nw, nh = int(src.width*scale), int(src.height*scale)\\n im = src.resize((nw, nh), Image.Resampling.LANCZOS)\\n # slight horizontal drift, still deterministic\\n cx = (nw-W)//2 + int(18*math.sin(t*0.18))\\n cy = (nh-H)//2\\n im = im.crop((cx, cy, cx+W, cy+H))\\n # keep AI background premium but subordinate to deterministic UI/captions\\n im = im.filter(ImageFilter.GaussianBlur(radius=1.1 if not safe else 0.7))\\n overlay = Image.new('RGBA', (W,H), (5, 9, 18, 96 if not safe else 72))\\n im = Image.alpha_composite(im.convert('RGBA'), overlay).convert('RGB')\\n return im\\n\\\"\\\"\\\"\\ns=s.replace(\\\"VOICE = 'en-US-GuyNeural'\\\\n\\\", \\\"VOICE = 'en-US-GuyNeural'\\\\n\\\"+insert)\\nstart=s.index('def draw_bg(draw, t):')\\nend=s.index('\\\\ndef draw_phone', start)\\nnew_draw_bg=\\\"\\\"\\\"def draw_bg(draw, t):\\n # AI-generated text-free premium background; deterministic scam UI remains renderer-owned.\\n base_path = AI_BG_SAFE if t >= 15.5 else AI_BG_HOOK\\n im = cover_image(base_path, t, safe=t>=15.5)\\n # add mild urgency/safety deterministic colour wash by scene\\n overlay = Image.new('RGBA', (W,H), (0,0,0,0))\\n od = ImageDraw.Draw(overlay)\\n if t < 15.5:\\n pulse = 0.5 + 0.5*math.sin(t*2.2)\\n for r in range(480, 1080, 90):\\n alpha = int(30*pulse*(1-r/1200))\\n od.ellipse((W//2-r, 210-r, W//2+r, 210+r), fill=(255,72,50,max(0,alpha)))\\n else:\\n od.rectangle((0,0,W,H), fill=(0,28,40,34))\\n return Image.alpha_composite(im.convert('RGBA'), overlay).convert('RGB')\\n\\n\\\"\\\"\\\"\\ns=s[:start]+new_draw_bg+s[end+1:]\\n# replace call logic in draw_scene: currently creates base/draw then overlay alpha composite\\nold=\\\"\\\"\\\" img = Image.new('RGB',(W,H),(8,14,28))\\n draw=ImageDraw.Draw(img)\\n overlay = draw_bg(draw, t)\\n if overlay:\\n img = Image.alpha_composite(img.convert('RGBA'), overlay).convert('RGB')\\n draw=ImageDraw.Draw(img)\\n\\\"\\\"\\\"\\nnew=\\\"\\\"\\\" img = draw_bg(None, t)\\n draw=ImageDraw.Draw(img)\\n\\\"\\\"\\\"\\ns=s.replace(old,new)\\np.write_text(s)\\nprint(p)\\nPY\",\"timeout\":120}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"/tmp/autoshorts_delivery_sms_trap_render_ai_upgrade.py\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_ZOUn9MIfbk2eUBbdbOtRbQNc"
},
{
"role": "assistant",
"content": "Need run and regenerate manual ass issue. Could run script then manual ASS similar.",
"reasoning": null,
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"text": "Need run and regenerate manual ass issue. Could run script then manual ASS similar."
}
],
"id": "msg_010f4e1931265670016a16096993ac819198e20df6459da1d5",
"phase": "commentary"
}
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{
"id": "call_WKmkFvYCf8BbvEeIdGT1yoob",
"call_id": "call_WKmkFvYCf8BbvEeIdGT1yoob",
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"arguments": "{\"command\":\"python /tmp/autoshorts_delivery_sms_trap_render_ai_upgrade.py >/tmp/delivery_ai_upgrade_render.log && python - <<'PY'\\nfrom pathlib import Path\\nimport re, subprocess, json\\nOUT=Path('/tmp/autoshorts_delivery_sms_trap_35s/ai_visual_upgrade_v1/postpreview_v2')\\nASS=OUT/'captions.ass'; AUDIO=OUT/'delivery_sms_trap_voice.mp3'; FRAMES=OUT/'frames'; FINAL=OUT/'delivery-sms-trap-35s_ai_visual_upgrade_v2.mp4'\\nSCRIPT=[('This delivery text is designed to make you panic.',0.0),('It looks normal.',3.2),('A package.',4.6),('A tiny fee.',5.6),('A deadline.',6.7),('The red flag is the pressure.',8.4),('Scammers want you to tap before you think.',11.7),(\\\"Don\\\\'t tap the link.\\\",16.0),('Open the delivery app yourself.',18.2),('If it is real, it will still be there.',21.2),('Save this.',25.2),('Small fee.',26.6),('Short deadline.',27.7),('Suspicious link.',28.8),('If it makes you hurry, slow down.',31.0)]\\nD=float(subprocess.check_output(['ffprobe','-v','error','-show_entries','format=duration','-of','default=nw=1:nk=1',str(AUDIO)], text=True).strip())+0.45\\nwords=[]\\nfor idx,(sent,start) in enumerate(SCRIPT):\\n end=SCRIPT[idx+1][1]-0.15 if idx+1=6: phrases.append(cur); cur=[]\\n if cur: phrases.append(cur)\\ndef ts(sec):\\n h=int(sec//3600); m=int((sec%3600)//60); s=sec%60; return f'{h}:{m:02d}:{s:05.2f}'\\nlines=['[Script Info]','ScriptType: v4.00+','PlayResX: 1080','PlayResY: 1920','WrapStyle: 2','','[V4+ Styles]','Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding','Style: Default,DejaVu Sans,60,&H00FFFFFF,&H0000D7FF,&HCC07101E,&H00000000,-1,0,0,0,100,100,0,0,1,4,2,2,70,70,190,1','','[Events]','Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text']\\nfor phrase in phrases:\\n pend=phrase[-1]['start']+phrase[-1]['duration']+0.08\\n for i,w in enumerate(phrase):\\n start=w['start']; end=phrase[i+1]['start'] if i+1/tmp/delivery_ai_upgrade_render.log && python - <<'PY'\\nfrom pathlib import Path\\nimport re, subprocess, json\\nOUT=Path('/tmp/autoshorts_delivery_sms_trap_35s/ai_visual_upgrade_v1/postpreview_v2')\\nASS=OUT/'captions.ass'; AUDIO=OUT/'delivery_sms_trap_voice.mp3'; FRAMES=OUT/'frames'; FINAL=OUT/'delivery-sms-trap-35s_ai_visual_upgrade_v2.mp4'\\nSCRIPT=[('This delivery text is designed to make you panic.',0.0),('It looks normal.',3.2),('A package.',4.6),('A tiny fee.',5.6),('A deadline.',6.7),('The red flag is the pressure.',8.4),('Scammers want you to tap before you think.',11.7),(\\\"Don\\\\'t tap the link.\\\",16.0),('Open the delivery app yourself.',18.2),('If it is real, it will still be there.',21.2),('Save this.',25.2),('Small fee.',26.6),('Short deadline.',27.7),('Suspicious link.',28.8),('If it makes you hurry, slow down.',31.0)]\\nD=float(subprocess.check_output(['ffprobe','-v','error','-show_entries','format=duration','-of','default=nw=1:nk=1',str(AUDIO)], text=True).strip())+0.45\\nwords=[]\\nfor idx,(sent,start) in enumerate(SCRIPT):\\n end=SCRIPT[idx+1][1]-0.15 if idx+1=6: phrases.append(cur); cur=[]\\n if cur: phrases.append(cur)\\ndef ts(sec):\\n h=int(sec//3600); m=int((sec%3600)//60); s=sec%60; return f'{h}:{m:02d}:{s:05.2f}'\\nlines=['[Script Info]','ScriptType: v4.00+','PlayResX: 1080','PlayResY: 1920','WrapStyle: 2','','[V4+ Styles]','Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding','Style: Default,DejaVu Sans,60,&H00FFFFFF,&H0000D7FF,&HCC07101E,&H00000000,-1,0,0,0,100,100,0,0,1,4,2,2,70,70,190,1','','[Events]','Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text']\\nfor phrase in phrases:\\n pend=phrase[-1]['start']+phrase[-1]['duration']+0.08\\n for i,w in enumerate(phrase):\\n start=w['start']; end=phrase[i+1]['start'] if i+1.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/.` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n • `scripts/.` — 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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What normal screen does the viewer see?\\n2. What concrete red flag is visible?\\n3. Is the problem visible in second 1 without sound?\\n4. What could happen to the viewer?\\n5. What is the one safer move?\\n6. Can someone send this to a parent, partner, colleague, or team?\\n7. Is there a save/screenshot reason?\\n8. Is the language useful without tech knowledge?\\n\\nDefault structure:\\n\\n- 0–2s: visible trap + hook\\n- 2–7s: why it feels normal\\n- 7–15s: one red flag\\n- 15–24s: safer move\\n- 24–30s: screenshot checklist\\n- 30–34s: memorable rule + soft CTA\\n\\nDo not render if the red flag and safer move are not clear.\\n\\n## Official content pillars\\n\\nPrimary pillars:\\n\\n1. Text & Delivery Scams — package SMS, customs fee, toll fee, short links, fake tracking.\\n2. Login & Account Traps — fake bank/Microsoft/Google/Apple login, fake reset, account-closure threats, login prompt not started by user.\\n3. Payment & Invoice Red Flags — fake invoice, changed bank route, CEO payment request, QR payment trap.\\n4. Marketplace & Buyer Scams — off-platform buyer, fake shipping link, escrow, overpayment, courier pickup.\\n5. Family & Emotion Scams — “Hi mom new number”, emergency money, grandparent scam, wrong-number scam, simple AI voice warning.\\n6. Fake Support / Popup Scams — infected-device popup, call support now, fake antivirus, browser lock, remote access request.\\n7. Password / Account Safety Basics — password reuse, password manager basics, MFA basics, recovery email risk.\\n8. Job / Side-Hustle Scams — fake recruiter, task scam, pay to get paid, remote job deposit, crypto onboarding trap.\\n\\nSecondary/specialist only:\\n\\n- AI workflow automation\\n- prompt engineering\\n- tool reviews\\n- top AI tools\\n- abstract productivity mechanisms\\n- cybersecurity news\\n- hacker tactics\\n- OSINT\\n- VPN comparisons\\n- dark-web explainers\\n- technical attack instructions\\n\\n## Official series logic\\n\\n1. One Screen. One Red Flag.\\n2. Send This To Your Parents\\n3. Before You Click\\n4. Money Move Red Flags\\n5. Account Trap\\n\\n## Visual rules\\n\\nDefault style: screen/mockup-led.\\n\\nPrefer:\\n\\n- phone screen\\n- SMS\\n- email\\n- invoice\\n- chat\\n- pop-up\\n- login\\n- QR situation\\n- marketplace chat\\n- simple fictional mockups\\n\\nAvoid as primary visual layer:\\n\\n- abstract glass clouds\\n- generic laptop B-roll\\n- pretty but empty AI imagery\\n- funnel/ring metaphors\\n- PowerPoint-like diagrams\\n- unnecessary Wan/I2V/T2V\\n\\nScam screens should usually be deterministic renderer-owned, not freely invented by image generation. This preserves:\\n\\n- no real brands/logos\\n- no real bank data, domains, phone numbers, QR codes, or invoices\\n- no dangerous operational templates\\n- clear mobile readability\\n\\n## AI image standard\\n\\nOpenAI/Codex image generation with `gpt-image-2-high` may be used for premium styleframes/backgrounds, but for scam content the safe default is:\\n\\n```text\\nAI layer = text-free atmosphere/background/keyframes\\nDeterministic renderer = scam screen, UI, invoice/email/SMS/chat text, captions, labels, claims\\n```\\n\\nAI images are acceptable when they provide atmosphere only and contain no important text/data. Do not ask AI to freely invent fake invoices, bank pages, SMS, or login pages.\\n\\nQA generated backgrounds before use. Reject backgrounds with pseudo-text, logos, QR/barcodes, people/hands, bank-like details, or busy composition that competes with captions.\\n\\n## Screenshot checklist rules\\n\\nEnd-card/checklist should usually exist:\\n\\n- max 3 points\\n- very short words\\n- large font\\n- 1.5–3 seconds visible\\n- mobile-safe\\n- title like “SAVE THIS” or “Quick check”\\n\\nExamples:\\n\\n```text\\nSAVE THIS\\n\\nDelivery text?\\nCheck:\\n\\nSmall fee?\\nShort deadline?\\nSuspicious link?\\n\\nOpen the app yourself.\\n```\\n\\n## Scoring priorities\\n\\nPrioritize:\\n\\n- viewer pain in first second\\n- screen clarity without audio\\n- red flag clarity\\n- safe move clarity\\n- family/share potential\\n- screenshot checklist value\\n- beginner language score\\n- mockup safety score\\n- no-fearmongering score\\n- pretty-empty-visual blocker\\n\\nBlock a candidate if it looks beautiful but does not show a concrete problem, uses high-jargon language, has unclear red flag, lacks a safer next step, or the scene is generic enough to fit 50 unrelated videos.\\n\\n## First prioritized candidate sequence after fake-invoice proof short\\n\\n1. `delivery-sms-trap-35s`\\n - Hook: “This delivery text is designed to make you panic.”\\n - Takeaway: “If it makes you hurry, slow down.”\\n\\n2. `fake-support-popup-call-now-30s`\\n - Hook: “If a website tells you to call support, stop.”\\n - Takeaway: “Real support does not hijack your screen.”\\n\\n3. `marketplace-buyer-off-platform-30s`\\n - Hook: “The buyer is not buying. They are moving you off-platform.”\\n - Takeaway: “Keep the chat and payment inside the platform.”\\n\\n4. `fake-qr-bank-login-page-35s`\\n - Hook: “The QR code was not the problem. The page after it was.”\\n - Takeaway: “If money or login is involved, open the app yourself.”\\n\\n5. `password-reuse-domino-30s`\\n - Hook: “One leaked password does not stay on one website.”\\n - Takeaway: “One account, one password.”\\n\\n## Delivery SMS render lesson\\n\\nFor `delivery-sms-trap-35s`, the better version used high-quality AI backgrounds only as atmosphere and deterministic foreground UI overlays:\\n\\n- generated 3 portrait backgrounds with `gpt-image-2-high`\\n- used 2 backgrounds\\n- discarded 1 because a package label had barcode-like marks\\n- deterministic SMS used fictional `example.com`\\n- final MP4 was explicitly verified as `1080x1920`, `SAR 1:1`, `DAR 9:16`\\n\\nIf edge-tts word boundary events are missing, manually derive caption timings from sentence timings and render active-word ASS captions; do not drop subtitles silently.\"}"
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"arguments": "{\"action\":\"patch\",\"name\":\"social-media-shorts-automation\",\"old_string\":\"# Social-Media Shorts Automation\\n\\nReference note: see `references/controlled-pilot-production-v2.md` for the controlled first-video workflow: resource tiers, media-generation limits, concept gating, and manual approval workflow.\\n\",\"new_string\":\"# Social-Media Shorts Automation\\n\\nReference note: see `references/controlled-pilot-production-v2.md` for the controlled first-video workflow: resource tiers, media-generation limits, concept gating, and manual approval workflow.\\n\\nStrategy note: see `references/truetrace-digital-red-flags-strategy-update.md` for the official TrueTraceShorts repositioning to **Digital Red Flags / Scam Self-Defense for Normal People**, including beginner-language rules, primary scam pillars, series logic, scoring blockers, deterministic scam mockup guidance, and the AI-background + deterministic-UI render pattern.\\n\"}"
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"arguments": "{\"action\":\"write_file\",\"file_content\":\"# TrueTraceShorts Strategic Neuausrichtung — Digital Red Flags\\n\\nThis reference is authoritative for TrueTraceShorts / AutoShortsBot content strategy after the fake-invoice proof short. It supersedes AI-workflow-first positioning.\\n\\n## Official position\\n\\n**TrueTraceShorts — Digital Red Flags**\\n\\n**Scam Self-Defense for Normal People**\\n\\nCore line:\\n\\n> One screen. One red flag. One safer move.\\n\\nGerman internal line:\\n\\n> Ein normaler Screen. Ein gefährlicher Hinweis. Eine sichere Handlung.\\n\\nChannel promise:\\n\\n> I show you the one red flag before you click, pay, scan, or log in.\\n\\n## Deprioritized as main formats\\n\\nDo not lead with these as the primary channel identity:\\n\\n- AI workflow tips\\n- prompt engineering\\n- AI tool reviews / top 5 tools\\n- abstract productivity mechanisms\\n- beautiful AI explainers without visible viewer pain\\n- generic cybersecurity news\\n- hacker tactics / OSINT / dark-web explainers\\n- VPN comparisons\\n- technical attack instructions\\n\\nAI/workflow content may remain a later specialist/legacy format, not the core promise.\\n\\n## Audience stance\\n\\nExternally: **Digital self-defense for normal people.**\\n\\nDo not brand it as “cybersecurity for boomers”. Internally, content should be boomer-safe: simple wording, large text, concrete examples, no jargon, one action.\\n\\nTarget viewers:\\n\\n- normal smartphone and internet users\\n- parents and teenagers\\n- workers and teams\\n- small business owners\\n- families\\n- people who want to protect parents, partners, colleagues, or friends\\n\\nPsychological target:\\n\\n> “That could have happened to me or my family.”\\n\\n## Language style\\n\\nUse simple English for final social videos. Aim for B1/B2. Short, everyday sentences.\\n\\nGood:\\n\\n- “This message wants you to hurry.”\\n- “Don’t tap the link.”\\n- “Open the app yourself.”\\n- “If the payment route changed, verify it another way.”\\n- “If it makes you hurry, slow down.”\\n\\nBad:\\n\\n- “This phishing attempt leverages urgency-based social engineering to exploit cognitive load.”\\n- “Validate the authenticity of the communication channel before initiating a transactional flow.”\\n\\nPlain replacements:\\n\\n- “validate communication channel” → “check it another way”\\n- “credential harvesting” → “stealing your login”\\n- “MFA prompt fatigue” → “a login prompt you did not start”\\n\\n## Default video formula\\n\\nEvery video should default to:\\n\\n1. **0–2s:** Visible trap + hook.\\n2. **2–7s:** Why it feels normal.\\n3. **7–15s:** The one red flag.\\n4. **15–24s:** The safer move.\\n5. **24–30s:** Screenshot checklist.\\n6. **30–34s:** Memorable rule + soft CTA.\\n\\nBefore rendering, candidate must answer:\\n\\n- What normal screen does the viewer see?\\n- What concrete red flag is visible?\\n- Is the problem visible in second 1 without audio?\\n- What could happen to the viewer?\\n- What is the one safer move?\\n- Can someone send it to parents, partner, colleagues, or team?\\n- Is there a save/screenshot reason?\\n- Is the language simple enough for average users?\\n- Is it useful without tech knowledge?\\n\\nIf unclear: do not render.\\n\\n## Primary content pillars\\n\\n1. **Text & Delivery Scams** — package SMS, customs/toll fee, short links, fake tracking.\\n2. **Login & Account Traps** — fake bank/Microsoft/Google/Apple login, reset, account closure, login prompt not started.\\n3. **Payment & Invoice Red Flags** — fake invoice, changed payment route, vendor bank change, CEO request, QR payment trap.\\n4. **Marketplace & Buyer Scams** — off-platform buyer, fake shipping link, escrow, overpayment, courier pickup.\\n5. **Family & Emotion Scams** — “Hi mom new number”, emergency money, grandparent scam, wrong-number scam, simple AI voice warning.\\n6. **Fake Support / Popup Scams** — infected-device popup, call support, fake antivirus, browser lock, remote access.\\n7. **Password / Account Safety Basics** — password reuse, password managers, MFA basics, recovery email risk.\\n8. **Job / Side-Hustle Scams** — fake recruiter, task scam, pay to get paid, remote job deposit, crypto onboarding trap.\\n\\n## Official series\\n\\n1. **One Screen. One Red Flag.** — normal screen, dangerous detail, safe action.\\n2. **Send This To Your Parents** — simple family-safe clips without condescension.\\n3. **Before You Click** — links, SMS, QR, login, popups.\\n4. **Money Move Red Flags** — payments, invoices, bank routes, QR, marketplaces.\\n5. **Account Trap** — login, password, MFA, fake reset, account closure.\\n\\n## Visual rules\\n\\nDefault: screen/mockup-led.\\n\\nPrefer:\\n\\n- phone screen\\n- SMS\\n- email\\n- invoice\\n- chat\\n- popup\\n- login\\n- QR situation\\n- marketplace chat\\n- fictional deterministic mockups\\n\\nAvoid:\\n\\n- abstract glass clouds\\n- pretty but empty AI images\\n- generic laptop B-roll\\n- funnel/ring metaphors\\n- PowerPoint-like explainers\\n- unnecessary Wan/I2V/T2V\\n\\n## Scam-screen safety\\n\\nScam screens should be deterministic/renderer-owned whenever the text or UI matters.\\n\\nNever use real:\\n\\n- brands/logos\\n- phone numbers\\n- bank data / IBANs\\n- domains except safe placeholders like `example.com`\\n- QR codes / barcodes\\n- invoice IDs / company details\\n- real persons or companies\\n\\nDo not provide operational scam instructions. Use cautious language:\\n\\n- “A common red flag is...”\\n- “Before you pay, check...”\\n- “Verify through another channel.”\\n- “This does not catch everything, but it gives you a safer next step.”\\n\\n## AI-image policy for this channel\\n\\nUse this safe pattern:\\n\\n```text\\nAI image layer = text-free atmosphere/background/keyframes\\nDeterministic renderer = SMS/email/invoice/login/chat UI, labels, facts, captions, claims\\n```\\n\\nAI images may be used for premium atmosphere when they contain no meaningful text/data. Do not let AI freely invent scam documents, bank pages, fake invoices, or fake login screens.\\n\\nQA AI backgrounds and reject if they contain pseudo-text, logo-like marks, QR/barcodes, people/hands when not desired, bank/payment/account-like details, or busy composition.\\n\\n## Screenshot checklist\\n\\nEnd-card should usually be included:\\n\\n- max 3 points\\n- large text\\n- 1.5–3 seconds visible\\n- mobile-safe\\n- no paragraphs\\n- title like “SAVE THIS” or “Quick check”\\n\\nExample:\\n\\n```text\\nSAVE THIS\\n\\nDelivery text?\\nCheck:\\n\\nSmall fee?\\nShort deadline?\\nSuspicious link?\\n\\nOpen the app yourself.\\n```\\n\\n## Scoring priorities\\n\\n- viewer pain in first second\\n- screen clarity without audio\\n- red flag clarity\\n- safe move clarity\\n- family/share potential\\n- screenshot checklist value\\n- beginner language\\n- mockup safety\\n- no fearmongering\\n- pretty-empty-visual blocker\\n\\nBlock if beautiful but problem-free, too jargon-heavy, red flag unclear, no safer next step, or visually generic.\\n\\n## Next candidate order\\n\\nAfter the fake-invoice proof short:\\n\\n1. `delivery-sms-trap-35s`\\n - Hook: “This delivery text is designed to make you panic.”\\n - Takeaway: “If it makes you hurry, slow down.”\\n\\n2. `fake-support-popup-call-now-30s`\\n - Hook: “If a website tells you to call support, stop.”\\n - Takeaway: “Real support does not hijack your screen.”\\n\\n3. `marketplace-buyer-off-platform-30s`\\n - Hook: “The buyer is not buying. They are moving you off-platform.”\\n - Takeaway: “Keep the chat and payment inside the platform.”\\n\\n4. `fake-qr-bank-login-page-35s`\\n - Hook: “The QR code was not the problem. The page after it was.”\\n - Takeaway: “If money or login is involved, open the app yourself.”\\n\\n5. `password-reuse-domino-30s`\\n - Hook: “One leaked password does not stay on one website.”\\n - Takeaway: “One account, one password.”\\n\\n## Session-specific render lesson: Delivery SMS Trap\\n\\nThe user approved the Delivery SMS concept, then requested the defined high-quality AI image standard.\\n\\nCorrect workflow:\\n\\n1. Build deterministic proof preview first to validate concept and readability.\\n2. Generate a small AI background batch only for atmosphere.\\n3. QA contact sheet before rendering.\\n4. Discard unsafe/generated background artifacts.\\n5. Keep SMS/app/checklist/captions deterministic.\\n6. Re-render full 1080x1920 with `setsar=1,setdar=9/16` and extract QA frames.\\n\\nIn this session:\\n\\n- 3 AI backgrounds were generated with `gpt-image-2-high`.\\n- 2 were used.\\n- 1 was discarded due to barcode-like package-label marks.\\n- Deterministic SMS used fictional `example.com`.\\n- Final MP4 was probed as `1080x1920`, `SAR 1:1`, `DAR 9:16`.\\n\\nIf TTS word-boundary events are absent, manually derive phrase/word timing from sentence timings and create active-word ASS subtitles rather than dropping captions.\",\"file_path\":\"references/truetrace-strategic-neuausrichtung.md\",\"name\":\"social-media-shorts-automation\"}"
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"content": "Skill library updated.\n\n- Updated existing umbrella skill: `social-media-shorts-automation`\n- Added new reference:\n - `references/truetrace-digital-red-flags-strategy-update.md`\n- Rewrote/updated existing loaded reference:\n - `references/truetrace-strategic-neuausrichtung.md`\n\nCaptured durable learnings:\n\n- TrueTraceShorts is now officially **Digital Red Flags / Scam Self-Defense for Normal People**, not AI-workflow-first.\n- Core formula: **One screen. One red flag. One safer move.**\n- Beginner-language rules and jargon replacements.\n- New primary content pillars and series logic.\n- Render gate questions before producing videos.\n- Scam-screen safety rules.\n- AI-image policy: AI backgrounds only; deterministic renderer owns SMS/email/invoice/login/chat UI and factual text.\n- Delivery SMS Trap workflow lesson, including AI background QA and discarding barcode-like generated artifacts.\n- Aspect/SAR/DAR verification requirement for final mobile previews.",
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"text": "Skill library updated.\n\n- Updated existing umbrella skill: `social-media-shorts-automation`\n- Added new reference:\n - `references/truetrace-digital-red-flags-strategy-update.md`\n- Rewrote/updated existing loaded reference:\n - `references/truetrace-strategic-neuausrichtung.md`\n\nCaptured durable learnings:\n\n- TrueTraceShorts is now officially **Digital Red Flags / Scam Self-Defense for Normal People**, not AI-workflow-first.\n- Core formula: **One screen. One red flag. One safer move.**\n- Beginner-language rules and jargon replacements.\n- New primary content pillars and series logic.\n- Render gate questions before producing videos.\n- Scam-screen safety rules.\n- AI-image policy: AI backgrounds only; deterministic renderer owns SMS/email/invoice/login/chat UI and factual text.\n- Delivery SMS Trap workflow lesson, including AI background QA and discarding barcode-like generated artifacts.\n- Aspect/SAR/DAR verification requirement for final mobile previews."
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