== /home/agent/.hermes/auth.json == exists True
4:     "openai-codex": {
6:         "access_token": "[REDACTED]",
13:   "active_provider": "openai-codex",
19:         "label": "Qwen 3.6 35B Local",
22:         "source": "config:Qwen 3.6 35B Local",
23:         "access_token": "[REDACTED]",
24:         "last_status": null,
25:         "last_status_at": null,
26:         "last_error_code": null,
27:         "last_error_reason": null,
28:         "last_error_message": null,
29:         "last_error_reset_at": null,
30:         "base_url": "http://100.101.173.25:11435/v1",
35:         "label": "model_config",
38:         "source": "model_config",
39:         "access_token": "[REDACTED]",
40:         "last_status": null,
41:         "last_status_at": null,
42:         "last_error_code": null,
43:         "last_error_reason": null,
44:         "last_error_message": null,
45:         "last_error_reset_at": null,
46:         "base_url": "http://100.101.173.25:11435/v1",
50:     "openrouter": [
53:         "label": "OPENROUTER_API_KEY",
56:         "source": "env:OPENROUTER_API_KEY",
57:         "access_token": "[REDACTED]",
58:         "last_status": "exhausted",
59:         "last_status_at": 1778641263.467073,
60:         "last_error_code": 401,
61:         "last_error_reason": null,
62:         "last_error_message": "User not found.",
63:         "last_error_reset_at": null,
64:         "base_url": "https://openrouter.ai/api/v1",
68:     "openai-codex": [
71:         "label": "device_code",
74:         "source": "device_code",
75:         "access_token": "[REDACTED]",
77:         "last_status": "ok",
78:         "last_status_at": null,
79:         "last_error_code": null,
80:         "last_error_reason": null,
81:         "last_error_message": null,
82:         "last_error_reset_at": null,
83:         "base_url": "https://chatgpt.com/backend-api/codex",
== /home/agent/.hermes/.env == exists True
13: OPENROUTER_API_KEY=***

== /home/agent/.hermes/auth.json == exists True
4:     "openai-codex": {
6:         "access_token": "[REDACTED]",
13:   "active_provider": "openai-codex",
19:         "label": "Qwen 3.6 35B Local",
22:         "source": "config:Qwen 3.6 35B Local",
23:         "access_token": "[REDACTED]",
24:         "last_status": null,
25:         "last_status_at": null,
26:         "last_error_code": null,
27:         "last_error_reason": null,
28:         "last_error_message": null,
29:         "last_error_reset_at": null,
30:         "base_url": "http://100.101.173.25:11435/v1",
35:         "label": "model_config",
38:         "source": "model_config",
39:         "access_token": "[REDACTED]",
40:         "last_status": null,
41:         "last_status_at": null,
42:         "last_error_code": null,
43:         "last_error_reason": null,
44:         "last_error_message": null,
45:         "last_error_reset_at": null,
46:         "base_url": "http://100.101.173.25:11435/v1",
50:     "openrouter": [
53:         "label": "OPENROUTER_API_KEY",
56:         "source": "env:OPENROUTER_API_KEY",
57:         "access_token": "[REDACTED]",
58:         "last_status": "exhausted",
59:         "last_status_at": 1778641263.467073,
60:         "last_error_code": 401,
61:         "last_error_reason": null,
62:         "last_error_message": "User not found.",
63:         "last_error_reset_at": null,
64:         "base_url": "https://openrouter.ai/api/v1",
68:     "openai-codex": [
71:         "label": "device_code",
74:         "source": "device_code",
75:         "access_token": "[REDACTED]",
77:         "last_status": "ok",
78:         "last_status_at": null,
79:         "last_error_code": null,
80:         "last_error_reason": null,
81:         "last_error_message": null,
82:         "last_error_reset_at": null,
83:         "base_url": "https://chatgpt.com/backend-api/codex",
== /home/agent/.hermes/.env == exists True
13: OPENROUTER_API_KEY=[REDACTED]


Sir, Diagnose abgeschlossen — ohne Dateien zu ändern.

**Befund**
- Cronjob: `/home/agent/.hermes/cron/jobs.json:4-33`
  - ID `847bdbc26edf`, Name `Morgen-Briefing optimiert`
  - `model: openrouter/auto`, `provider: openrouter`
  - `last_status: error`
  - `last_error: RuntimeError: Error code: 401 - {'error': {'message': 'User not found.', 'code': 401}}`

- Fehlerlog: `/home/agent/.hermes/cron/output/847bdbc26edf/2026-05-13_05-01-03.md:469-473`
  - Enthält exakt denselben Fehler: `401 User not found`

- Auth-Status: `/home/agent/.hermes/auth.json:50-64`
  - Provider `openrouter`
  - Quelle: `env:OPENROUTER_API_KEY`
  - `last_status: exhausted`
  - `last_error_code: 401`
  - `last_error_message: User not found.`
  - `base_url: https://openrouter.ai/api/v1`

- Env-Datei vorhanden: `/home/agent/.hermes/.env:13`
  - `OPENROUTER_API_KEY` ist gesetzt, aber der Key/Auth-Zustand ist bei OpenRouter ungültig.

**Ursache**
Der Morgen-Briefing-Cronjob läuft über OpenRouter, aber der hinterlegte `OPENROUTER_API_KEY` wird von OpenRouter mit `401 User not found` abgelehnt. Also kein Script-Problem, kein Telegram-Problem — schlicht Auth kaputt. Ein digitaler Türsteher mit sehr kurzem Gedächtnis.

**Minimaler Fix**
Entweder:

1. **OpenRouter-Key erneuern** in `/home/agent/.hermes/.env` und Hermes/Gateway danach neu laden/restarten.

Oder robuster:

2. Cronjob `847bdbc26edf` von
   `provider: openrouter`, `model: openrouter/auto`
   auf den funktionierenden Hermes-Provider ändern:
   `provider: openai-codex`, `model: gpt-5.5`

Beleg dafür: `/home/agent/.hermes/auth.json:68-83` zeigt `openai-codex` mit `last_status: ok`.


[Wed 2026-05-13 10:08 GMT+2] Implement the JARVIS structured memory architecture. Use only local file operations. Do not print secrets. Create/update a directory ~/jarvis_memory with these markdown Domain Cards and an index: 00_core_profile.md, 01_agent_system.md, 10_health.md, 11_health_medications.md, 12_health_lab_rules.md, 20_politics_windisch.md, 30_business.md, 31_business_erne.md, 32_business_gasser_bauunternehmen.md, 40_personal_ops.md, 50_language_french.md, 51_language_spanish.md, 60_finance.md, 61_finance_market_data_sources.md, 70_sport.md, 90_decisions_log.md, README.md. Populate each with concise structured sections: Purpose, Load when, Stable facts, Operating rules, Data sources, Do-not-store, Open questions. Incorporate: Finanzen covering Aktien, ETFs, Kryptowährungen, automatic analyses, Auswertungen, Kaufentscheid-Assistenz, Rebalancing Empfehlungen, insights, CoinMarketCap API as possible source, but include strict rule: no autonomous trades, no financial advice as guarantee, final decisions by Sir. Sport covering Krav Maga and regular gym/fitness, training load, injury prevention, health integration. Business split into ERNE: main employer, Sir is Teamleiter Baumanagement; and Gasser Bauunternehmen: own construction company, Sir is non-operative shareholder/partner. Also create/update a Hermes skill at ~/.hermes/skills/jarvis-routing-policy/SKILL.md with frontmatter name jarvis-routing-policy, description, version; content must define routing policy: domain detection, token budgets, memory write rules, Qwen read-only use via Tailscale port 11435 alias qwen-3.6-agent, subagent thresholds, safety/side-effect rules, finance rules, health rules, and model fallback policy. Fallback policy: complicated tasks (code writing, system architecture, health-risk decisions, finance decisions, irreversible actions) must pause/request user decision if GPT-5.5 unavailable/rate-limited; simple answers may use cheaper Codex/GPT with low/no reasoning; Qwen read-only for extraction/summarization only; OpenRouter free model only as last resort for non-sensitive, non-critical drafts/summaries when Sir reactivates valid API key; never continue critical architecture/code changes on worse model without explicit approval. Add a short index in README. Verify files exist and report concise list of created/updated paths, no full file contents.


---
name: skill-creator
description: Create, edit, improve, tidy, review, audit, or restructure AgentSkills and SKILL.md files.
---

# Skill Creator

This skill provides guidance for creating effective skills.

## About Skills

Skills are modular, self-contained packages that extend Codex's capabilities by providing
specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific
domains or tasks—they transform Codex from a general-purpose agent into a specialized agent
equipped with procedural knowledge that no model can fully possess.

### What Skills Provide

1. Specialized workflows - Multi-step procedures for specific domains
2. Tool integrations - Instructions for working with specific file formats or APIs
3. Domain expertise - Company-specific knowledge, schemas, business logic
4. Bundled resources - Scripts, references, and assets for complex and repetitive tasks

## Core Principles

### Concise is Key

The context window is a public good. Skills share the context window with everything else Codex needs: system prompt, conversation history, other Skills' metadata, and the actual user request.

**Default assumption: Codex is already very smart.** Only add context Codex doesn't already have. Challenge each piece of information: "Does Codex really need this explanation?" and "Does this paragraph justify its token cost?"

Prefer concise examples over verbose explanations.

### Set Appropriate Degrees of Freedom

Match the level of specificity to the task's fragility and variability:

**High freedom (text-based instructions)**: Use when multiple approaches are valid, decisions depend on context, or heuristics guide the approach.

**Medium freedom (pseudocode or scripts with parameters)**: Use when a preferred pattern exists, some variation is acceptable, or configuration affects behavior.

**Low freedom (specific scripts, few parameters)**: Use when operations are fragile and error-prone, consistency is critical, or a specific sequence must be followed.

Think of Codex as exploring a path: a narrow bridge with cliffs needs specific guardrails (low freedom), while an open field allows many routes (high freedom).

### Anatomy of a Skill

Every skill consists of a required SKILL.md file and optional bundled resources:

```
skill-name/
├── SKILL.md (required)
│   ├── YAML frontmatter metadata (required)
│   │   ├── name: (required)
│   │   └── description: (required)
│   └── Markdown instructions (required)
└── Bundled Resources (optional)
    ├── scripts/          - Executable code (Python/Bash/etc.)
    ├── references/       - Documentation intended to be loaded into context as needed
    └── assets/           - Files used in output (templates, icons, fonts, etc.)
```

#### SKILL.md (required)

Every SKILL.md consists of:

- **Frontmatter** (YAML): Contains `name` and `description` fields. These are the only fields that Codex reads to determine when the skill gets used, thus it is very important to be clear and comprehensive in describing what the skill is, and when it should be used.
- **Body** (Markdown): Instructions and guidance for using the skill. Only loaded AFTER the skill triggers (if at all).

#### Bundled Resources (optional)

##### Scripts (`scripts/`)

Executable code (Python/Bash/etc.) for tasks that require deterministic reliability or are repeatedly rewritten.

- **When to include**: When the same code is being rewritten repeatedly or deterministic reliability is needed
- **Example**: `scripts/rotate_pdf.py` for PDF rotation tasks
- **Benefits**: Token efficient, deterministic, may be executed without loading into context
- **Note**: Scripts may still need to be read by Codex for patching or environment-specific adjustments

##### References (`references/`)

Documentation and reference material intended to be loaded as needed into context to inform Codex's process and thinking.

- **When to include**: For documentation that Codex should reference while working
- **Examples**: `references/finance.md` for financial schemas, `references/mnda.md` for company NDA template, `references/policies.md` for company policies, `references/api_docs.md` for API specifications
- **Use cases**: Database schemas, API documentation, domain knowledge, company policies, detailed workflow guides
- **Benefits**: Keeps SKILL.md lean, loaded only when Codex determines it's needed
- **Best practice**: If files are large (>10k words), include grep search patterns in SKILL.md
- **Avoid duplication**: Information should live in either SKILL.md or references files, not both. Prefer references files for detailed information unless it's truly core to the skill—this keeps SKILL.md lean while making information discoverable without hogging the context window. Keep only essential procedural instructions and workflow guidance in SKILL.md; move detailed reference material, schemas, and examples to references files.

##### Assets (`assets/`)

Files not intended to be loaded into context, but rather used within the output Codex produces.

- **When to include**: When the skill needs files that will be used in the final output
- **Examples**: `assets/logo.png` for brand assets, `assets/slides.pptx` for PowerPoint templates, `assets/frontend-template/` for HTML/React boilerplate, `assets/font.ttf` for typography
- **Use cases**: Templates, images, icons, boilerplate code, fonts, sample documents that get copied or modified
- **Benefits**: Separates output resources from documentation, enables Codex to use files without loading them into context

#### What to Not Include in a Skill

A skill should only contain essential files that directly support its functionality. Do NOT create extraneous documentation or auxiliary files, including:

- README.md
- INSTALLATION_GUIDE.md
- QUICK_REFERENCE.md
- CHANGELOG.md
- etc.

The skill should only contain the information needed for an AI agent to do the job at hand. It should not contain auxiliary context about the process that went into creating it, setup and testing procedures, user-facing documentation, etc. Creating additional documentation files just adds clutter and confusion.

### Progressive Disclosure Design Principle

Skills use a three-level loading system to manage context efficiently:

1. **Metadata (name + description)** - Always in context (~100 words)
2. **SKILL.md body** - When skill triggers (<5k words)
3. **Bundled resources** - As needed by Codex (Unlimited because scripts can be executed without reading into context window)

#### Progressive Disclosure Patterns

Keep SKILL.md body to the essentials and under 500 lines to minimize context bloat. Split content into separate files when approaching this limit. When splitting out content into other files, it is very important to reference them from SKILL.md and describe clearly when to read them, to ensure the reader of the skill knows they exist and when to use them.

**Key principle:** When a skill supports multiple variations, frameworks, or options, keep only the core workflow and selection guidance in SKILL.md. Move variant-specific details (patterns, examples, configuration) into separate reference files.

**Pattern 1: High-level guide with references**

```markdown
# PDF Processing

## Quick start

Extract text with pdfplumber:
[code example]

## Advanced features

- **Form filling**: See [FORMS.md](FORMS.md) for complete guide
- **API reference**: See [REFERENCE.md](REFERENCE.md) for all methods
- **Examples**: See [EXAMPLES.md](EXAMPLES.md) for common patterns
```

Codex loads FORMS.md, REFERENCE.md, or EXAMPLES.md only when needed.

**Pattern 2: Domain-specific organization**

For Skills with multiple domains, organize content by domain to avoid loading irrelevant context:

```
bigquery-skill/
├── SKILL.md (overview and navigation)
└── reference/
    ├── finance.md (revenue, billing metrics)
    ├── sales.md (opportunities, pipeline)
    ├── product.md (API usage, features)
    └── marketing.md (campaigns, attribution)
```

When a user asks about sales metrics, Codex only reads sales.md.

Similarly, for skills supporting multiple frameworks or variants, organize by variant:

```
cloud-deploy/
├── SKILL.md (workflow + provider selection)
└── references/
    ├── aws.md (AWS deployment patterns)
    ├── gcp.md (GCP deployment patterns)
    └── azure.md (Azure deployment patterns)
```

When the user chooses AWS, Codex only reads aws.md.

**Pattern 3: Conditional details**

Show basic content, link to advanced content:

```markdown
# DOCX Processing

## Creating documents

Use docx-js for new documents. See [DOCX-JS.md](DOCX-JS.md).

## Editing documents

For simple edits, modify the XML directly.

**For tracked changes**: See [REDLINING.md](REDLINING.md)
**For OOXML details**: See [OOXML.md](OOXML.md)
```

Codex reads REDLINING.md or OOXML.md only when the user needs those features.

**Important guidelines:**

- **Avoid deeply nested references** - Keep references one level deep from SKILL.md. All reference files should link directly from SKILL.md.
- **Structure longer reference files** - For files longer than 100 lines, include a table of contents at the top so Codex can see the full scope when previewing.

[173 more lines in file. Use offset=201 to continue.]


exec

python3 - <<'PY'
from pathlib import Path
from datetime import datetime
home = Path.home()
mem = home / 'jarvis_memory'
mem.mkdir(parents=True, exist_ok=True)
updated = '2026-05-13'

def card(title, purpose, load_when, stable, rules, sources, do_not, questions):
    def bullets(items):
        return '\n'.join(f'- {x}' for x in items) if items else '- —'
    return f"""# {title}

_Last updated: {updated}_

## Purpose
{purpose}

## Load when
{bullets(load_when)}

## Stable facts
{bullets(stable)}

## Operating rules
{bullets(rules)}

## Data sources
{bullets(sources)}

## Do-not-store
{bullets(do_not)}

## Open questions
{bullets(questions)}
"""

cards = {
'00_core_profile.md': card('00 Core Profile','Identity and stable assistant-user relationship context for JARVIS/FRIDAY-style operation.', ['Every main-session interaction needing persona or continuity', 'When choosing tone, salutation, or privacy posture'], ['User is addressed as Sir.', 'Assistant persona: precise, loyal, British-gentleman style; German with technical English where useful.', 'Privacy and discretion are default behaviours.'], ['Be concise, concrete, and useful.', 'Prefer action over performative helpfulness.', 'Ask before external side effects or irreversible actions.', 'Never expose secrets or private medical/business data unnecessarily.'], ['~/jarvis_memory/ domain cards', '~/.openclaw/workspace/MEMORY.md where appropriate', 'User’s explicit latest instructions'], ['Secrets, tokens, passwords, private keys', 'Raw full transcripts unless explicitly requested', 'Speculative personal claims not confirmed by Sir'], ['Preferred formal name beyond “Sir”?', 'Which persona name should dominate across Hermes/JARVIS/FRIDAY contexts?']),
'01_agent_system.md': card('01 Agent System','Operational map for local assistant systems, agents, tools, and model routing.', ['Any system architecture, agent routing, cron, MCP, skill, or model decision', 'When debugging Hermes/OpenClaw/JARVIS behaviour'], ['Hermes has local state under ~/.hermes.', 'OpenClaw workspace is under ~/.openclaw/workspace.', 'Qwen read-only endpoint is reachable via Tailscale/OpenAI-compatible port 11435 alias qwen-3.6-agent when available.'], ['Use first-class tools when available.', 'Local file operations are safe; external sends require care/confirmation unless explicitly requested.', 'Do not print secrets.', 'For complex or risky work, verify with evidence before reporting success.'], ['~/.hermes/config.yaml', '~/.hermes/auth.json (redacted only)', '~/.hermes/cron/', '~/.openclaw/workspace/', 'Local docs and skills'], ['API keys, OAuth tokens, raw auth.json values, gateway tokens', 'Unredacted logs containing credentials'], ['Final canonical agent names and responsibilities?', 'Should Hermes/JARVIS/FRIDAY share one memory store or maintain mirrored domain cards?']),
'10_health.md': card('10 Health','High-level health context and medical operating policy.', ['Health, symptoms, doctors, reports, labs, medications, diet, risk decisions', 'Any medical document analysis'], ['Medical profile is sensitive and confidential.', 'Known context includes Behçet disease, previous DVT, elevated Factor VIII/thrombophilia risk.', 'Health data system exists locally under ~/Gesundheit.'], ['Always treat health data as strictly confidential.', 'Load health DB/context before health answers when relevant.', 'Do not provide diagnosis certainty; support preparation and risk framing.', 'Urgent or dangerous symptoms require medical escalation, not assistant reassurance.'], ['~/Gesundheit/health_data.db', '~/Gesundheit/query_health.sh', '~/Gesundheit/Archiv/', '~/Gesundheit/attachments/', 'Doctor reports supplied by Sir'], ['Unnecessary raw medical records in generic memory', 'Insurance/account numbers unless explicitly needed', 'Medical data in group/shared contexts'], ['Preferred emergency escalation wording?', 'Which doctors/clinics should be indexed as stable contacts?']),
'11_health_medications.md': card('11 Health Medications','Medication-specific context and safety rules.', ['Medication questions, interactions, refills, adherence, surgery/dental planning', 'Any anticoagulation or immunology question'], ['Known medications include Eliquis/Apixaban and Colchicin; prior context also mentioned Hyrimoz.', 'Medication facts must be verified from current health DB/reports before use.'], ['Never suggest stopping anticoagulation or immunomodulators without physician direction.', 'Flag bleeding, clotting, infection, allergic reaction, or severe adverse symptoms as medical escalation topics.', 'Separate confirmed medication facts from assumptions.'], ['~/Gesundheit/health_data.db tables medikamente and health_events', 'Medication reports/prescriptions in ~/Gesundheit/Archiv/', 'Pharmacy/doctor documents provided by Sir'], ['Dosage changes as “memory” without dated source', 'Speculative interaction claims without source'], ['Current complete medication list and dosages?', 'Known allergies/intolerances?']),
'12_health_lab_rules.md': card('12 Health Lab Rules','Rules for interpreting, charting, and querying lab values.', ['Lab values, CRP, cholesterol/lipids, inflammation, trend charts, PDF reports'], ['Health DB has tables including dokumente, laborwerte, medikamente, health_events.', 'Historical lab data may use document dates from file names when explicit date fields are missing.', 'CRP and lipids have been charted previously from local DB.'], ['Always inspect schema before assuming column names.', 'Report units and reference ranges when available.', 'Trend interpretation must mention data gaps and source confidence.', 'Do not overinterpret single lab values.'], ['~/Gesundheit/health_data.db', '~/Gesundheit/generate_laborwerte_pdf.py', '~/Gesundheit/query_health.sh', 'Original lab PDFs'], ['Raw full lab PDFs in generic memory', 'Unverified copied values without date/source'], ['Canonical lab categories and thresholds Sir wants tracked?', 'Preferred chart/report format?']),
'20_politics_windisch.md': card('20 Politics Windisch','Local civic/political context for Windisch and nearby region.', ['Questions about Windisch politics, local votes, Gemeinde, Aargau, civic planning'], ['Sir has interest in local/regional context around Windisch/Aargau.', 'No stable party preferences stored unless explicitly provided.'], ['Use current official sources for mutable politics.', 'Separate fact, analysis, and opinion clearly.', 'Avoid storing political persuasion profiles beyond explicit user preferences.'], ['Official Gemeinde Windisch pages', 'Kanton Aargau sources', 'Local news/RSS', 'User-provided notes'], ['Ballot secrecy, private political choices unless Sir asks to store them', 'Manipulative persuasion profiles'], ['Which local political topics should be tracked?', 'Does Sir want election/vote reminders?']),
'30_business.md': card('30 Business','Business domain overview and routing card.', ['Work, companies, construction, management, business documents, strategy'], ['Business domain splits into ERNE employment and Gasser Bauunternehmen ownership/partner context.', 'Construction/real-estate/business context may be sensitive.'], ['Classify business context before loading detailed cards.', 'Keep employer and own-company roles separate.', 'Do not send or publish business communications without confirmation.'], ['Domain cards 31 and 32', 'User-provided documents', 'Local files explicitly supplied for business work'], ['Contracts, salaries, client secrets, HR matters unless explicitly needed and protected', 'Unredacted confidential business documents'], ['Other business entities or side projects to add?', 'Preferred confidentiality labels?']),
'31_business_erne.md': card('31 Business ERNE','ERNE-specific employment and role context.', ['ERNE, employer work, team leadership, Baumanagement, construction projects'], ['ERNE is Sir’s main employer.', 'Sir is Teamleiter Baumanagement.'], ['Respect employer confidentiality.', 'Separate personal assistant advice from official company positions.', 'For emails/documents to colleagues or clients, draft first and ask before sending.'], ['Sir-provided ERNE materials', 'Calendar/work context when authorized', 'Local business documents'], ['Client confidential data in general memory', 'HR/personnel details unless explicitly necessary'], ['Exact team scope and recurring project names?', 'Preferred templates for ERNE correspondence?']),
'32_business_gasser_bauunternehmen.md': card('32 Business Gasser Bauunternehmen','Own-company shareholder/partner context for Gasser Bauunternehmen.', ['Gasser Bauunternehmen, own company, shareholder/partner topics, non-operative business matters'], ['Sir is a non-operative shareholder/partner in Gasser Bauunternehmen.', 'Operational management is not assumed to be Sir’s role.'], ['Do not conflate ownership/partner perspective with day-to-day operator authority.', 'Frame recommendations as shareholder/partner considerations unless told otherwise.', 'Avoid external business actions without confirmation.'], ['User-provided company documents', 'Public company registry/news where needed', 'Financial/business notes from Sir'], ['Sensitive ownership documents or financials in broad memory', 'Speculative legal/tax advice as fact'], ['Exact ownership percentage/role boundaries?', 'Which reporting cadence does Sir want?']),
'40_personal_ops.md': card('40 Personal Ops','Daily operations, tasks, calendar, inbox, routines, reminders.', ['Todoist, calendar, email, reminders, morning briefings, errands, travel/logistics'], ['Todoist token exists locally; Google Workspace/gog configured for friday.uplink@gmail.com.', 'Calendar checks should include primary and imported Outlook calendar when relevant.', 'Past cron jobs were mostly disabled except system-managed memory job.'], ['Confirm before sending emails/messages or creating external commitments unless explicitly requested.', 'Use local timezone Europe/Berlin/Zurich presentation for appointments.', 'Batch routine checks; do not be noisy.'], ['Todoist API/local token', 'gog CLI', 'Calendar IDs from memory', 'HEARTBEAT.md if enabled'], ['Email contents in long-term generic memory unless summarized safely', 'Credentials or tokens'], ['Preferred morning briefing time and scope?', 'Which recurring checks should remain disabled/enabled?']),
'50_language_french.md': card('50 Language French','French learning/support context.', ['French translation, practice, grammar, vocabulary, correspondence'], ['French is a language learning/support domain; no stable proficiency level stored yet.'], ['Adapt explanations to Sir’s level once known.', 'Prefer practical examples and corrections.', 'Mark regional Swiss/French usage where relevant.'], ['User-provided texts', 'Trusted dictionaries/grammar sources', 'Practice notes'], ['Private correspondence full text unless needed', 'Embarrassing mistakes as persistent memory unless Sir asks'], ['Current French level?', 'Preferred learning goal: travel, business, exams, conversation?']),
'51_language_spanish.md': card('51 Language Spanish','Spanish learning/support context.', ['Spanish translation, practice, grammar, vocabulary, correspondence'], ['Spanish is a language learning/support domain; no stable proficiency level stored yet.'], ['Adapt to Sir’s level once known.', 'Distinguish Spain vs Latin America usage when relevant.', 'Use concise correction-first feedback.'], ['User-provided texts', 'Trusted dictionaries/grammar sources', 'Practice notes'], ['Private correspondence full text unless needed', 'Embarrassing mistakes as persistent memory unless Sir asks'], ['Current Spanish level?', 'Preferred variant: Spain or Latin America?']),
'60_finance.md': card('60 Finance','Finance, investing, crypto, portfolio analysis, and decision-support policy.', ['Stocks, ETFs, cryptocurrencies, portfolio analysis, automatic analyses, evaluations, buy-decision assistance, rebalancing recommendations, insights'], ['Finance domain includes Aktien, ETFs, Kryptowährungen, automatic analyses, Auswertungen, Kaufentscheid-Assistenz, Rebalancing Empfehlungen, and insights.', 'CoinMarketCap API is a possible data source for crypto/market data.', 'Final financial decisions always remain with Sir.'], ['No autonomous trades, ever.', 'No financial advice as guarantee; present scenarios, risks, assumptions, and uncertainty.', 'For buy/sell/rebalancing decisions, provide decision support only and ask Sir for final approval.', 'Use live/current data for mutable prices and market facts.', 'Separate facts, model assumptions, and opinion.'], ['Broker/export files provided by Sir', 'CoinMarketCap API if configured', 'Exchange/public market APIs', 'Domain card 61 for market data sources'], ['Account numbers, wallet seeds, private keys, recovery phrases, unredacted statements', 'Sensitive portfolio details in shared contexts'], ['Which broker/exchange exports exist?', 'Risk profile, target allocation, tax jurisdiction, investment horizon?']),
'61_finance_market_data_sources.md': card('61 Finance Market Data Sources','Market data source registry and quality rules.', ['Fetching or validating prices, volumes, crypto metrics, ETF/stocks fundamentals, automated finance analyses'], ['CoinMarketCap API is a possible crypto data source.', 'Market data is mutable and must be timestamped.'], ['Always timestamp data and source.', 'Cross-check critical prices/signals when decisions depend on them.', 'Do not store API keys in markdown.', 'Respect provider rate limits and licensing.'], ['CoinMarketCap API', 'Official exchange APIs', 'Broker exports', 'ETF issuer pages', 'Public finance APIs/search'], ['API keys, secrets, private broker session tokens', 'Raw account exports unless explicitly protected'], ['Which APIs are actually configured?', 'Preferred base currency and benchmark indices?']),
'70_sport.md': card('70 Sport','Sport, Krav Maga, gym/fitness, training load, injury prevention, health integration.', ['Krav Maga, regular gym/fitness, exercise planning, recovery, injuries, health-aware training'], ['Sport domain includes Krav Maga and regular gym/fitness.', 'Training advice must integrate health context when relevant.'], ['Prioritize injury prevention, recovery, and sustainable load progression.', 'Consider Behçet/DVT/anticoagulation context before intense/contact training advice.', 'Do not override medical guidance for injuries or bleeding/clotting risk.', 'Track load, soreness, sleep, and symptoms if Sir wants.'], ['User training logs', 'Wearables/Apple Health/YAZIO if provided', '~/Gesundheit context when health-relevant', 'Coach/physio instructions from Sir'], ['Sensitive health details in generic sport notes unless needed', 'Unverified performance claims'], ['Current training schedule?', 'Krav Maga frequency/intensity?', 'Fitness goals and injury history?']),
'90_decisions_log.md': card('90 Decisions Log','Append-only record of important decisions and rationale.', ['When a significant user/agent decision is made or reviewed', 'When tracing why a policy/system choice exists'], ['This file should track decisions, date, context, rationale, and owner.', 'It is not a dump for secrets or raw logs.'], ['Append concise entries; do not rewrite history except to correct factual errors with note.', 'Record source/evidence path when useful.', 'Separate decision from recommendation.'], ['User confirmations', 'Config changes', 'System audits', 'Relevant domain cards'], ['Secrets, tokens, full private documents', 'Speculation as decision'], ['Preferred decision ID format?', 'Which past decisions should be backfilled?'])
}

for name, content in cards.items():
    (mem/name).write_text(content, encoding='utf-8')

readme = f"""# JARVIS Structured Memory Index

_Last updated: {updated}_

Purpose: concise domain-card memory architecture for JARVIS/Hermes/FRIDAY routing. Load only the relevant cards for a task; do not dump secrets into memory.

## Index
- `00_core_profile.md` — identity, tone, privacy baseline.
- `01_agent_system.md` — local agent/tool/model system context.
- `10_health.md` — high-level confidential health context.
- `11_health_medications.md` — medications and safety rules.
- `12_health_lab_rules.md` — lab querying/charting rules.
- `20_politics_windisch.md` — Windisch/Aargau civic context.
- `30_business.md` — business routing overview.
- `31_business_erne.md` — ERNE employer role; Teamleiter Baumanagement.
- `32_business_gasser_bauunternehmen.md` — own company; non-operative shareholder/partner.
- `40_personal_ops.md` — tasks, calendar, inbox, routines.
- `50_language_french.md` — French learning/support.
- `51_language_spanish.md` — Spanish learning/support.
- `60_finance.md` — investing/crypto analysis and strict decision boundaries.
- `61_finance_market_data_sources.md` — market data source quality rules.
- `70_sport.md` — Krav Maga, gym/fitness, load and injury prevention.
- `90_decisions_log.md` — append-only decisions and rationale.

## Loading rule
Start with `00_core_profile.md` and `01_agent_system.md` only when identity/system context matters. Then load the smallest domain card set needed for the user request.

## Write rule
Store stable facts, decisions, source pointers, and operating rules. Do not store secrets, raw credentials, private keys, recovery phrases, or unnecessary raw personal/medical/business documents.
"""
(mem/'README.md').write_text(readme, encoding='utf-8')

skill_dir = home/'.hermes/skills/jarvis-routing-policy'
skill_dir.mkdir(parents=True, exist_ok=True)
skill = f"""---
name: jarvis-routing-policy
description: Routing policy for JARVIS/Hermes memory domains, model selection, safety boundaries, finance/health handling, Qwen read-only extraction, and fallback decisions.
version: 1.0.0
---

# JARVIS Routing Policy

## Domain detection
- Classify each request into one or more domains before loading memory: core, agent-system, health, medications, labs, politics-windisch, business, ERNE, Gasser Bauunternehmen, personal-ops, French, Spanish, finance, market-data, sport, decisions.
- Load the smallest relevant card set from `~/jarvis_memory`.
- For mixed tasks, load overview card first, then the specific sub-card only if needed.

## Token budgets
- Default: concise answer, no unnecessary memory loading.
- Small task: load 0-2 domain cards.
- Medium task: load up to 4 cards and summarize evidence.
- Large/risky task: create a plan, use subagents if useful, and verify with local evidence.
- Never paste full secrets, full auth files, or large private documents into context.

## Memory write rules
- Write stable facts, confirmed decisions, durable operating rules, and source pointers.
- Use `~/jarvis_memory/90_decisions_log.md` for important decisions.
- Do not store tokens, passwords, API keys, wallet seeds, recovery phrases, private keys, or unnecessary raw medical/business records.
- Prefer concise structured updates: date, fact/decision, source, uncertainty.

## Qwen read-only use
- Local Qwen endpoint: Tailscale/OpenAI-compatible port `11435`, model alias `qwen-3.6-agent`.
- Qwen is read-only for extraction, summarization, classification, and non-sensitive drafting support.
- Do not let Qwen perform writes, irreversible changes, external sends, finance decisions, health-risk decisions, or code/system architecture changes without stronger model/user approval.

## Subagent thresholds
- Use subagents for long research, broad audits, multi-file inspections, or independent verification.
- Do not spawn subagents for sensitive finance/health material unless necessary and context is minimized.
- Subagents must receive sanitized, scoped instructions and no secrets.

## Safety and side-effect rules
- Local reads/writes are allowed when requested and reversible.
- Ask before external sends, public posts, purchases, trades, medical actions, destructive actions, credential changes, or irreversible config changes.
- Do not print secrets. Redact auth/config/log output.
- Verify with file existence, tests, logs, or diffs before reporting completion.

## Finance rules
- Finance covers Aktien, ETFs, Kryptowährungen, automatic analyses, Auswertungen, Kaufentscheid-Assistenz, Rebalancing Empfehlungen, and insights.
- Possible source: CoinMarketCap API, plus broker exports and public market data.
- No autonomous trades, ever.
- No financial advice as guarantee. Provide decision support, risks, scenarios, assumptions, and uncertainty.
- Final buy/sell/rebalance decisions are made only by Sir.
- Use current data for mutable prices and timestamp all market data.

## Health rules
- Health data is strictly confidential.
- Load relevant health cards/DB context before health answers when applicable.
- For medications, anticoagulation, thrombosis/bleeding, infection, severe symptoms, or high-risk decisions: be cautious and recommend professional medical escalation when appropriate.
- Do not diagnose with certainty or override clinicians.

## Model fallback policy
- Preferred strong model for complicated tasks: GPT-5.5 or equivalent approved high-capability model.
- Complicated tasks include code writing, system architecture, health-risk decisions, finance decisions, and irreversible actions.
- If GPT-5.5 is unavailable or rate-limited for complicated tasks: pause and request Sir’s decision before continuing.
- Simple answers may use cheaper Codex/GPT with low or no reasoning.
- Qwen read-only is allowed for extraction/summarization/classification only.
- OpenRouter free model is last resort only for non-sensitive, non-critical drafts/summaries, and only when Sir reactivates a valid API key.
- Never continue critical architecture or code changes on a worse model without explicit approval.
"""
(skill_dir/'SKILL.md').write_text(skill, encoding='utf-8')

print('WROTE')
for p in sorted(mem.iterdir()): print(p)
print(skill_dir/'SKILL.md')
PY


WROTE
/home/agent/jarvis_memory/00_core_profile.md
/home/agent/jarvis_memory/01_agent_system.md
/home/agent/jarvis_memory/10_health.md
/home/agent/jarvis_memory/11_health_medications.md
/home/agent/jarvis_memory/12_health_lab_rules.md
/home/agent/jarvis_memory/20_politics_windisch.md
/home/agent/jarvis_memory/30_business.md
/home/agent/jarvis_memory/31_business_erne.md
/home/agent/jarvis_memory/32_business_gasser_bauunternehmen.md
/home/agent/jarvis_memory/40_personal_ops.md
/home/agent/jarvis_memory/50_language_french.md
/home/agent/jarvis_memory/51_language_spanish.md
/home/agent/jarvis_memory/60_finance.md
/home/agent/jarvis_memory/61_finance_market_data_sources.md
/home/agent/jarvis_memory/70_sport.md
/home/agent/jarvis_memory/90_decisions_log.md
/home/agent/jarvis_memory/README.md
/home/agent/.hermes/skills/jarvis-routing-policy/SKILL.md


set -e
printf '== jarvis_memory ==\n'
for f in 00_core_profile.md 01_agent_system.md 10_health.md 11_health_medications.md 12_health_lab_rules.md 20_politics_windisch.md 30_business.md 31_business_erne.md 32_business_gasser_bauunternehmen.md 40_personal_ops.md 50_language_french.md 51_language_spanish.md 60_finance.md 61_finance_market_data_sources.md 70_sport.md 90_decisions_log.md README.md; do test -s "$HOME/jarvis_memory/$f" && echo "$HOME/jarvis_memory/$f"; done
printf '== skill ==\n'
test -s "$HOME/.hermes/skills/jarvis-routing-policy/SKILL.md" && echo "$HOME/.hermes/skills/jarvis-routing-policy/SKILL.md"
printf '== frontmatter ==\n'
sed -n '1,5p' "$HOME/.hermes/skills/jarvis-routing-policy/SKILL.md"


== jarvis_memory ==
/home/agent/jarvis_memory/00_core_profile.md
/home/agent/jarvis_memory/01_agent_system.md
/home/agent/jarvis_memory/10_health.md
/home/agent/jarvis_memory/11_health_medications.md
/home/agent/jarvis_memory/12_health_lab_rules.md
/home/agent/jarvis_memory/20_politics_windisch.md
/home/agent/jarvis_memory/30_business.md
/home/agent/jarvis_memory/31_business_erne.md
/home/agent/jarvis_memory/32_business_gasser_bauunternehmen.md
/home/agent/jarvis_memory/40_personal_ops.md
/home/agent/jarvis_memory/50_language_french.md
/home/agent/jarvis_memory/51_language_spanish.md
/home/agent/jarvis_memory/60_finance.md
/home/agent/jarvis_memory/61_finance_market_data_sources.md
/home/agent/jarvis_memory/70_sport.md
/home/agent/jarvis_memory/90_decisions_log.md
/home/agent/jarvis_memory/README.md
== skill ==
/home/agent/.hermes/skills/jarvis-routing-policy/SKILL.md
== frontmatter ==
---
name: jarvis-routing-policy
description: Routing policy for JARVIS/Hermes memory domains, model selection, safety boundaries, finance/health handling, Qwen read-only extraction, and fallback decisions.
version: 1.0.0
---


Erledigt, Sir. Erstellt/aktualisiert und verifiziert:

- `/home/agent/jarvis_memory/README.md`
- `/home/agent/jarvis_memory/00_core_profile.md`
- `/home/agent/jarvis_memory/01_agent_system.md`
- `/home/agent/jarvis_memory/10_health.md`
- `/home/agent/jarvis_memory/11_health_medications.md`
- `/home/agent/jarvis_memory/12_health_lab_rules.md`
- `/home/agent/jarvis_memory/20_politics_windisch.md`
- `/home/agent/jarvis_memory/30_business.md`
- `/home/agent/jarvis_memory/31_business_erne.md`
- `/home/agent/jarvis_memory/32_business_gasser_bauunternehmen.md`
- `/home/agent/jarvis_memory/40_personal_ops.md`
- `/home/agent/jarvis_memory/50_language_french.md`
- `/home/agent/jarvis_memory/51_language_spanish.md`
- `/home/agent/jarvis_memory/60_finance.md`
- `/home/agent/jarvis_memory/61_finance_market_data_sources.md`
- `/home/agent/jarvis_memory/70_sport.md`
- `/home/agent/jarvis_memory/90_decisions_log.md`
- `/home/agent/.hermes/skills/jarvis-routing-policy/SKILL.md`

Keine Secrets ausgegeben. ⚡


[Wed 2026-05-13 10:26 GMT+2] Test whether the local Qwen llama-server is reachable from this VM over Tailscale. Do not modify files. Steps: inspect Tailscale status/peers, find likely host peer IP/name, probe port 11435 safely, call OpenAI-compatible endpoints /v1/models and /v1/chat/completions with a tiny prompt if reachable. Do not print secrets. Return concise: reachable yes/no, endpoint URL, model alias observed, test prompt response, latency-ish, and exact problem if not reachable.


set -euo pipefail
printf '## tailscale status\n'
if command -v tailscale >/dev/null 2>&1; then
  tailscale status --json 2>/dev/null | python3 - <<'PY'
import sys,json
try:
 data=json.load(sys.stdin)
except Exception as e:
 print('tailscale status json unavailable:', e); sys.exit(0)
self=data.get('Self',{}) or {}
print('self:', self.get('HostName'), self.get('TailscaleIPs'))
peers=data.get('Peer',{}) or {}
for k,p in peers.items():
 ips=p.get('TailscaleIPs') or []
 name=p.get('HostName') or p.get('DNSName') or k
 online=p.get('Online')
 os=p.get('OS')
 print(f'peer: {name} ips={ips} online={online} os={os}')
PY
else
  echo 'tailscale command not found'
fi
printf '\n## ip hints\n'
(ip -brief addr show 2>/dev/null | sed -E 's/([0-9A-Za-z+\/]{20,})/[REDACTED]/g' || true)


## tailscale status
tailscale status json unavailable: Expecting value: line 1 column 1 (char 0)

(Command exited with code 141)


set -euo pipefail
printf '## tailscale status raw\n'
if command -v tailscale >/dev/null 2>&1; then
  tailscale status 2>&1 | head -80 || true
  printf '\n## tailscale json parsed\n'
  tmp=$(mktemp)
  if tailscale status --json >"$tmp" 2>"$tmp.err"; then
    python3 - "$tmp" <<'PY'
import sys,json
p=sys.argv[1]
data=json.load(open(p))
self=data.get('Self',{}) or {}
print('self:', self.get('HostName'), self.get('TailscaleIPs'))
for k,peer in (data.get('Peer',{}) or {}).items():
    ips=peer.get('TailscaleIPs') or []
    name=peer.get('HostName') or peer.get('DNSName') or k
    online=peer.get('Online')
    os=peer.get('OS')
    print(f'peer: {name} ips={ips} online={online} os={os}')
PY
  else
    echo 'tailscale status --json failed:'
    cat "$tmp.err"
  fi
  rm -f "$tmp" "$tmp.err"
else
  echo 'tailscale command not found'
fi


## tailscale status raw
100.85.29.67    agent          quickview.newsflash@  linux  -
100.95.2.5      iphone-13-pro  quickview.newsflash@  iOS    -
100.101.173.25  pc-1           quickview.newsflash@  linux  idle, tx 23905242660 rx 2084791896

# Health check:
#     - Tailscale failed to set the DNS configuration of your device: setLinkDNS: context deadline exceeded

## tailscale json parsed
self: agent ['100.85.29.67', 'fd7a:115c:a1e0::901:1dba']
peer: PC-1 ips=['100.101.173.25', 'fd7a:115c:a1e0::4901:ada6'] online=True os=linux
peer: localhost ips=['100.95.2.5', 'fd7a:115c:a1e0::5501:29a'] online=True os=iOS


set -euo pipefail
HOST=100.101.173.25
PORT=11435
BASE="http://$HOST:$PORT"
printf '## tcp probe\n'
python3 - <<'PY'
import socket,time
host='100.101.173.25'; port=11435
s=socket.socket(); s.settimeout(3)
t0=time.perf_counter()
try:
    s.connect((host,port)); dt=(time.perf_counter()-t0)*1000
    print(f'tcp reachable {host}:{port} in {dt:.0f} ms')
except Exception as e:
    print(f'tcp failed {host}:{port}: {type(e).__name__}: {e}')
finally:
    s.close()
PY
printf '\n## /v1/models\n'
python3 - <<'PY'
import urllib.request,json,time
base='http://100.101.173.25:11435'
url=base+'/v1/models'
t0=time.perf_counter()
try:
    with urllib.request.urlopen(url,timeout=8) as r:
        body=r.read(20000).decode('utf-8','replace')
        dt=(time.perf_counter()-t0)*1000
        print('status', r.status, 'latency_ms', round(dt))
        print(body[:2000])
except Exception as e:
    print('models failed:', type(e).__name__, e)
PY
printf '\n## /v1/chat/completions\n'
python3 - <<'PY'
import urllib.request,json,time
base='http://100.101.173.25:11435'
models=[]
try:
    with urllib.request.urlopen(base+'/v1/models',timeout=8) as r:
        data=json.loads(r.read().decode())
        models=[m.get('id') for m in data.get('data',[]) if m.get('id')]
except Exception:
    pass
model=models[0] if models else 'qwen-3.6-agent'
payload={
  'model': model,
  'messages': [{'role':'user','content':'Reply with exactly: pong'}],
  'max_tokens': 8,
  'temperature': 0
}
req=urllib.request.Request(base+'/v1/chat/completions',data=json.dumps(payload).encode(),headers={'Content-Type':'application/json'},method='POST')
t0=time.perf_counter()
try:
    with urllib.request.urlopen(req,timeout=20) as r:
        txt=r.read(20000).decode('utf-8','replace')
        dt=(time.perf_counter()-t0)*1000
        print('status', r.status, 'latency_ms', round(dt), 'model_used', model)
        data=json.loads(txt)
        print(json.dumps({'model': data.get('model'), 'content': ((data.get('choices') or [{}])[0].get('message') or {}).get('content')}, ensure_ascii=False))
except Exception as e:
    print('chat failed:', type(e).__name__, e)
PY


## tcp probe
tcp reachable 100.101.173.25:11435 in 12 ms

## /v1/models
status 200 latency_ms 26
{"models":[{"name":"qwen-3.6-agent","model":"qwen-3.6-agent","modified_at":"","size":"","digest":"","type":"model","description":"","tags":[""],"capabilities":["completion"],"parameters":"","details":{"parent_model":"","format":"gguf","family":"","families":[""],"parameter_size":"","quantization_level":""}}],"object":"list","data":[{"id":"qwen-3.6-agent","aliases":["qwen-3.6-agent"],"tags":[],"object":"model","created":1778660928,"owned_by":"llamacpp","meta":{"vocab_type":2,"n_vocab":248320,"n_ctx_train":262144,"n_embd":2048,"n_params":34660610688,"size":17282099712}}]}

## /v1/chat/completions
status 200 latency_ms 393 model_used qwen-3.6-agent
{"model": "qwen-3.6-agent", "content": "pong"}


Sir, Qwen ist erreichbar. ⚡

- **Reachable:** yes
- **Endpoint:** `http://100.101.173.25:11435`
- **Tailscale peer:** `PC-1`, IP `100.101.173.25`, online
- **Model alias observed:** `qwen-3.6-agent`
- **TCP latency:** ~12 ms
- **`/v1/models` latency:** ~26 ms
- **Chat completion latency:** ~393 ms
- **Test prompt:** `Reply with exactly: pong`
- **Response:** `pong`

Nebenbefund: Tailscale meldet ein DNS-Healthcheck-Problem (`setLinkDNS: context deadline exceeded`), aber die direkte Tailscale-IP-Verbindung funktioniert sauber.


[Wed 2026-05-13 10:33 GMT+2] Audit current OpenClaw role and safety posture. Do NOT modify files. Inspect OpenClaw running processes/services, gateway/listening ports, relevant config files under ~/.openclaw, plugin allow settings, approval/shell/file/send capabilities if visible, and whether it is currently used as executor by Hermes project rules. Redact secrets. Return concise: what OpenClaw currently does, whether autonomous gateway/background is running, whether it is sufficiently restricted, major risks, and whether Hermes can call Qwen directly without OpenClaw.


---
name: healthcheck
description: Audit and harden hosts running OpenClaw for SSH, firewall, updates, exposure, cron checks, and risk posture.
---

# OpenClaw Host Hardening

## Overview

Assess and harden the host running OpenClaw, then align it to a user-defined risk tolerance without breaking access. Use OpenClaw security tooling as a first-class signal, but treat OS hardening as a separate, explicit set of steps.

## Core rules

- Recommend running this skill with a state-of-the-art model (e.g., Opus 4.5, GPT 5.2+). The agent should self-check the current model and suggest switching if below that level; do not block execution.
- Require explicit approval before any state-changing action.
- Do not modify remote access settings without confirming how the user connects.
- Prefer reversible, staged changes with a rollback plan.
- Never claim OpenClaw changes the host firewall, SSH, or OS updates; it does not.
- If role/identity is unknown, provide recommendations only.
- Formatting: every set of user choices must be numbered so the user can reply with a single digit.
- System-level backups are recommended; try to verify status.

## Workflow (follow in order)

### 0) Model self-check (non-blocking)

Before starting, check the current model. If it is below state-of-the-art (e.g., Opus 4.5, GPT 5.2+), recommend switching. Do not block execution.

### 1) Establish context (read-only)

Try to infer 1–5 from the environment before asking. Prefer simple, non-technical questions if you need confirmation.

Determine (in order):

1. OS and version (Linux/macOS/Windows), container vs host.
2. Privilege level (root/admin vs user).
3. Access path (local console, SSH, RDP, tailnet).
4. Network exposure (public IP, reverse proxy, tunnel).
5. OpenClaw gateway status and bind address.
6. Backup system and status (e.g., Time Machine, system images, snapshots).
7. Deployment context (local mac app, headless gateway host, remote gateway, container/CI).
8. Disk encryption status (FileVault/LUKS/BitLocker).
9. OS automatic security updates status.
   Note: these are not blocking items, but are highly recommended, especially if OpenClaw can access sensitive data.
10. Usage mode for a personal assistant with full access (local workstation vs headless/remote vs other).

First ask once for permission to run read-only checks. If granted, run them by default and only ask questions for items you cannot infer or verify. Do not ask for information already visible in runtime or command output. Keep the permission ask as a single sentence, and list follow-up info needed as an unordered list (not numbered) unless you are presenting selectable choices.

If you must ask, use non-technical prompts:

- “Are you using a Mac, Windows PC, or Linux?”
- “Are you logged in directly on the machine, or connecting from another computer?”
- “Is this machine reachable from the public internet, or only on your home/network?”
- “Do you have backups enabled (e.g., Time Machine), and are they current?”
- “Is disk encryption turned on (FileVault/BitLocker/LUKS)?”
- “Are automatic security updates enabled?”
- “How do you use this machine?”
  Examples:
  - Personal machine shared with the assistant
  - Dedicated local machine for the assistant
  - Dedicated remote machine/server accessed remotely (always on)
  - Something else?

Only ask for the risk profile after system context is known.

If the user grants read-only permission, run the OS-appropriate checks by default. If not, offer them (numbered). Examples:

1. OS: `uname -a`, `sw_vers`, `cat /etc/os-release`.
2. Listening ports:
   - Linux: `ss -ltnup` (or `ss -ltnp` if `-u` unsupported).
   - macOS: `lsof -nP -iTCP -sTCP:LISTEN`.
3. Firewall status:
   - Linux: `ufw status`, `firewall-cmd --state`, `nft list ruleset` (pick what is installed).
   - macOS: `/usr/libexec/ApplicationFirewall/socketfilterfw --getglobalstate` and `pfctl -s info`.
4. Backups (macOS): `tmutil status` (if Time Machine is used).

### 2) Run OpenClaw security audits (read-only)

As part of the default read-only checks, run `openclaw security audit --deep`. Only offer alternatives if the user requests them:

1. `openclaw security audit` (faster, non-probing)
2. `openclaw security audit --json` (structured output)

Offer to apply OpenClaw safe defaults (numbered):

1. `openclaw security audit --fix`

Be explicit that `--fix` only tightens OpenClaw defaults and file permissions. It does not change host firewall, SSH, or OS update policies.

If browser control is enabled, recommend that 2FA be enabled on all important accounts, with hardware keys preferred and SMS not sufficient.

### 3) Check OpenClaw version/update status (read-only)

As part of the default read-only checks, run `openclaw update status`.

Report the current channel and whether an update is available.

### 4) Determine risk tolerance (after system context)

Ask the user to pick or confirm a risk posture and any required open services/ports (numbered choices below).
Do not pigeonhole into fixed profiles; if the user prefers, capture requirements instead of choosing a profile.
Offer suggested profiles as optional defaults (numbered). Note that most users pick Home/Workstation Balanced:

1. Home/Workstation Balanced (most common): firewall on with reasonable defaults, remote access restricted to LAN or tailnet.
2. VPS Hardened: deny-by-default inbound firewall, minimal open ports, key-only SSH, no root login, automatic security updates.
3. Developer Convenience: more local services allowed, explicit exposure warnings, still audited.
4. Custom: user-defined constraints (services, exposure, update cadence, access methods).

### 5) Produce a remediation plan

Provide a plan that includes:

- Target profile
- Current posture summary
- Gaps vs target
- Step-by-step remediation with exact commands
- Access-preservation strategy and rollback
- Risks and potential lockout scenarios
- Least-privilege notes (e.g., avoid admin usage, tighten ownership/permissions where safe)
- Credential hygiene notes (location of OpenClaw creds, prefer disk encryption)

Always show the plan before any changes.

### 6) Offer execution options

Offer one of these choices (numbered so users can reply with a single digit):

1. Do it for me (guided, step-by-step approvals)
2. Show plan only
3. Fix only critical issues
4. Export commands for later

### 7) Execute with confirmations

For each step:

- Show the exact command
- Explain impact and rollback
- Confirm access will remain available
- Stop on unexpected output and ask for guidance

### 8) Verify and report

Re-check:

- Firewall status
- Listening ports
- Remote access still works
- OpenClaw security audit (re-run)

Deliver a final posture report and note any deferred items.

## Required confirmations (always)

Require explicit approval for:

- Firewall rule changes
- Opening/closing ports
- SSH/RDP configuration changes
- Installing/removing packages
- Enabling/disabling services
- User/group modifications
- Scheduling tasks or startup persistence
- Update policy changes
- Access to sensitive files or credentials

If unsure, ask.

## Periodic checks

After OpenClaw install or first hardening pass, run at least one baseline audit and version check:

- `openclaw security audit`
- `openclaw security audit --deep`
- `openclaw update status`

Ongoing monitoring is recommended. Use the OpenClaw cron tool/CLI to schedule periodic audits (Gateway scheduler). Do not create scheduled tasks without explicit approval. Store outputs in a user-approved location and avoid secrets in logs.
When scheduling headless cron runs, include a note in the output that instructs the user to call `healthcheck` so issues can be fixed.

### Required prompt to schedule (always)

After any audit or hardening pass, explicitly offer scheduling and require a direct response. Use a short prompt like (numbered):

1. “Do you want me to schedule periodic audits (e.g., daily/weekly) via `openclaw cron add`?”

If the user says yes, ask for:

- cadence (daily/weekly), preferred time window, and output location
- whether to also schedule `openclaw update status`

Use a stable cron job name so updates are deterministic. Prefer exact names:

- `healthcheck:security-audit`
- `healthcheck:update-status`

Before creating, `openclaw cron list` and match on exact `name`. If found, `openclaw cron edit <id> ...`.
If not found, `openclaw cron add --name <name> ...`.

Also offer a periodic version check so the user can decide when to update (numbered):

[46 more lines in file. Use offset=201 to continue.]


🦞 OpenClaw 2026.5.7 (eeef486)
⏱ Uptime: gateway 17h 59m · system 9d 23h
🧠 Model: openai-codex/gpt-5.5 · 🔑 oauth (openai-codex:gasser.m@gmx.ch (gasser.m@gmx.ch))
🔄 Fallbacks: qwen3-6-80k-v1/qwen-3.6-agent
🧮 Tokens: 65k in / 1.7k out
🗄 Cache: 74% hit · 188k cached, 0 new
📚 Context: 48k/272k (18%) · 🧹 Compactions: 0
📊 Usage: 5h 79% left ⏱3h 59m · Week 64% left ⏱6d 4h
🧵 Session: agent:main:main • updated just now
📌 Tasks: 1 active · cli · Audit current OpenClaw role and safety posture. Do NOT modify files. Inspect Op…
⚙ Execution: direct · Runtime: OpenClaw Pi Default · Think: medium · Text: low · elevated
🪢 Queue: steer (depth 0)


set -euo pipefail
redact(){ sed -E 's/(token|api[_-]?key|password|secret|authorization|bearer|access[_-]?token|refresh[_-]?token)(["'


/bin/bash: -c: Zeile 3: Syntaxfehler: Unerwartetes Dateiende.

(Command exited with code 2)


Explanation: First shell probe had a quoting error; rerunning read-only checks with simpler commands.


---
name: self-improvement
description: "Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks."
metadata:
---

# Self-Improvement Skill

Log learnings and errors to markdown files for continuous improvement. Coding agents can later process these into fixes, and important learnings get promoted to project memory.

## First-Use Initialisation

Before logging anything, ensure the `.learnings/` directory and files exist in the project or workspace root. If any are missing, create them:

```bash
mkdir -p .learnings
[ -f .learnings/LEARNINGS.md ] || printf "# Learnings\n\nCorrections, insights, and knowledge gaps captured during development.\n\n**Categories**: correction | insight | knowledge_gap | best_practice\n\n---\n" > .learnings/LEARNINGS.md
[ -f .learnings/ERRORS.md ] || printf "# Errors\n\nCommand failures and integration errors.\n\n---\n" > .learnings/ERRORS.md
[ -f .learnings/FEATURE_REQUESTS.md ] || printf "# Feature Requests\n\nCapabilities requested by the user.\n\n---\n" > .learnings/FEATURE_REQUESTS.md
```

Never overwrite existing files. This is a no-op if `.learnings/` is already initialised.

Do not log secrets, tokens, private keys, environment variables, or full source/config files unless the user explicitly asks for that level of detail. Prefer short summaries or redacted excerpts over raw command output or full transcripts.

If you want automatic reminders or setup assistance, use the opt-in hook workflow described in [Hook Integration](#hook-integration).

## Quick Reference

| Situation | Action |
|-----------|--------|
| Command/operation fails | Log to `.learnings/ERRORS.md` |
| User corrects you | Log to `.learnings/LEARNINGS.md` with category `correction` |
| User wants missing feature | Log to `.learnings/FEATURE_REQUESTS.md` |
| API/external tool fails | Log to `.learnings/ERRORS.md` with integration details |
| Knowledge was outdated | Log to `.learnings/LEARNINGS.md` with category `knowledge_gap` |
| Found better approach | Log to `.learnings/LEARNINGS.md` with category `best_practice` |
| Simplify/Harden recurring patterns | Log/update `.learnings/LEARNINGS.md` with `Source: simplify-and-harden` and a stable `Pattern-Key` |
| Similar to existing entry | Link with `**See Also**`, consider priority bump |
| Broadly applicable learning | Promote to `CLAUDE.md`, `AGENTS.md`, and/or `.github/copilot-instructions.md` |
| Workflow improvements | Promote to `AGENTS.md` (OpenClaw workspace) |
| Tool gotchas | Promote to `TOOLS.md` (OpenClaw workspace) |
| Behavioral patterns | Promote to `SOUL.md` (OpenClaw workspace) |

## OpenClaw Setup (Recommended)

OpenClaw is the primary platform for this skill. It uses workspace-based prompt injection with automatic skill loading.

### Installation

**Via ClawdHub (recommended):**
```bash
clawdhub install self-improving-agent
```

**Manual:**
```bash
git clone https://github.com/peterskoett/self-improving-agent.git ~/.openclaw/skills/self-improving-agent
```

Remade for openclaw from original repo : https://github.com/pskoett/pskoett-ai-skills - https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/self-improvement

### Workspace Structure

OpenClaw injects these files into every session:

```
~/.openclaw/workspace/
├── AGENTS.md          # Multi-agent workflows, delegation patterns
├── SOUL.md            # Behavioral guidelines, personality, principles
├── TOOLS.md           # Tool capabilities, integration gotchas
├── MEMORY.md          # Long-term memory (main session only)
├── memory/            # Daily memory files
│   └── YYYY-MM-DD.md
└── .learnings/        # This skill's log files
    ├── LEARNINGS.md
    ├── ERRORS.md
    └── FEATURE_REQUESTS.md
```

### Create Learning Files

```bash
mkdir -p ~/.openclaw/workspace/.learnings
```

Then create the log files (or copy from `assets/`):
- `LEARNINGS.md` — corrections, knowledge gaps, best practices
- `ERRORS.md` — command failures, exceptions
- `FEATURE_REQUESTS.md` — user-requested capabilities

### Promotion Targets

When learnings prove broadly applicable, promote them to workspace files:

| Learning Type | Promote To | Example |
|---------------|------------|---------|
| Behavioral patterns | `SOUL.md` | "Be concise, avoid disclaimers" |
| Workflow improvements | `AGENTS.md` | "Spawn sub-agents for long tasks" |
| Tool gotchas | `TOOLS.md` | "Git push needs auth configured first" |

### Inter-Session Communication

OpenClaw provides tools to share learnings across sessions:

- **sessions_list** — View active/recent sessions
- **sessions_history** — Read another session's transcript
- **sessions_send** — Send a learning to another session
- **sessions_spawn** — Spawn a sub-agent for background work

Use these only in trusted environments and only when the user explicitly wants cross-session sharing. Prefer sending a short sanitized summary and relevant file paths, not raw transcripts, secrets, or full command output.

### Optional: Enable Hook

For automatic reminders at session start:

```bash
# Copy hook to OpenClaw hooks directory
cp -r hooks/openclaw ~/.openclaw/hooks/self-improvement

[525 more lines in file. Use offset=121 to continue.]


set -euo pipefail
printf '== pwd/user/time ==\n'; pwd; whoami; date -Is
printf '\n== OpenClaw status ==\n'; command -v openclaw >/dev/null && openclaw status 2>&1 | head -120 || true
printf '\n== relevant processes ==\n'; ps -eo pid,ppid,user,stat,etime,cmd --sort=pid | grep -Ei 'openclaw|hermes|jarvis|node|python|ollama|qwen|llama|gateway|cron' | grep -v grep | head -200
printf '\n== listening ports ==\n'; ss -ltnp 2>/dev/null | head -200
printf '\n== OpenClaw config files ==\n'; find /home/agent/.openclaw -maxdepth 2 -type f \( -name '*.json' -o -name '*.yaml' -o -name '*.yml' -o -name '*.env' \) -printf '%p\n' 2>/dev/null | sort | head -200
printf '\n== Hermes config files ==\n'; find /home/agent/.hermes -maxdepth 3 -type f \( -name '*.json' -o -name '*.yaml' -o -name '*.yml' -o -name '*.env' \) -printf '%p\n' 2>/dev/null | sort | head -200
printf '\n== jarvis memory files ==\n'; find /home/agent/jarvis_memory -maxdepth 1 -type f -printf '%f\n' 2>/dev/null | sort || true
printf '\n== Qwen endpoint quick check ==\n'; python3 - <<'PY'
import urllib.request,json
url='http://100.101.173.25:11435/v1/models'
try:
    with urllib.request.urlopen(url, timeout=5) as r:
        data=r.read(800).decode('utf-8','replace')
        print('OK', r.status, data[:800])
except Exception as e:
    print('ERR', type(e).__name__, str(e)[:300])
PY


== pwd/user/time ==
/home/agent/.openclaw/workspace
agent
2026-05-13T10:34:46+02:00

== OpenClaw status ==
OpenClaw status

Overview
┌──────────────────────┬───────────────────────────────────────────────────────────────────────────────────────────────┐
│ Item                 │ Value                                                                                │
├──────────────────────┼───────────────────────────────────────────────────────────────────────────────────────────────┤
│ OS                   │ linux 6.17.0-23-generic (x64) · node 22.22.2                                                  │
│ Dashboard            │ http://192.168.122.42:18789/                                                                  │
│ Tailscale exposure   │ off                                                                                │
│ Channel              │ stable (default)                                                                              │
│ Update               │ pnpm · up to date · npm latest 2026.5.7                                                       │
│ Gateway              │ local · ws://127.0.0.1:18789 (local loopback) · reachable 61ms · auth token · agent (192.168. │
│                      │ 122.42) app 2026.5.7 linux 6.17.0-23-generic                                                  │
│ Gateway self         │ agent (192.168.122.42) app 2026.5.7 linux 6.17.0-23-generic                                   │
│ Gateway service      │ systemd user installed · enabled · running (pid 242077, state active)                         │
│ Node service         │ systemd user not installed                                                                    │
│ Agents               │ 1 · no bootstrap files · sessions 17 · default main active 2m ago                             │
│ Memory               │ enabled (plugin memory-core) · not checked                                                    │
│ Plugin compatibility │ none                                                                                │
│ Probes               │ skipped (use --deep)                                                                          │
│ Events               │ none                                                                                │
│ Tasks                │ 1 active · 0 queued · 1 running · 10 issues · audit 2 warn · 191 tracked                      │
│ Heartbeat            │ 30m (main)                                                                                │
│ Sessions             │ 17 active · default gpt-5.5 (200k ctx) · ~/.openclaw/agents/main/sessions/sessions.json       │
└──────────────────────┴───────────────────────────────────────────────────────────────────────────────────────────────┘

Security audit
Skipped in fast status. Full report: openclaw security audit
Deep probe: openclaw status --deep

Channels
┌──────────┬─────────┬────────┬────────────────────────────────────────────────────────────────────────────────────────┐
│ Channel  │ Enabled │ State  │ Detail                                                                                │
├──────────┼─────────┼────────┼────────────────────────────────────────────────────────────────────────────────────────┤
│ Telegram │ ON      │ OK     │ token config (8520…xg84 · len 46) · accounts 1/1                                       │
└──────────┴─────────┴────────┴────────────────────────────────────────────────────────────────────────────────────────┘

Sessions
┌─────┬────────┬─────────┬───────────────────────────────────────┬─────────────────────┬───────────────────────────────┐
│ Key │ Kind   │ Age     │ Model                                 │ Runtime             │ Tokens                        │
├─────┼────────┼─────────┼───────────────────────────────────────┼─────────────────────┼───────────────────────────────┤
│ age │ direct │ 2m ago  │ gpt-5.5                               │ OpenClaw Pi Default │ 45k/272k (16%) · 🗄 74%       │
│ nt: │        │         │                                       │                     │ cached                        │
│ mai │        │         │                                       │                     │                               │
│ n:m │        │         │                                       │                     │                               │
│ ain │        │         │                                       │                     │                               │
│ age │ direct │ 8h ago  │ gpt-5.5                               │ OpenClaw Pi Default │ 15k/272k (6%) · 🗄 47% cached │
│ nt: │        │         │                                       │                     │                               │
│ mai │        │         │                                       │                     │                               │
│ n:d │        │         │                                       │                     │                               │
│ rea │        │         │                                       │                     │                               │
│ min │        │         │                                       │                     │                               │
│ g-  │        │         │                                       │                     │                               │
│ nar │        │         │                                       │                     │                               │
│ rat │        │         │                                       │                     │                               │
│ ive │        │         │                                       │                     │                               │
│ -l… │        │         │                                       │                     │                               │
│ age │ cron   │ 8h ago  │ gpt-5.5                               │ OpenClaw Pi Default │ unknown/200k (?%)             │
│ nt: │        │         │                                       │                     │                               │
│ mai │        │         │                                       │                     │                               │
│ n:c │        │         │                                       │                     │                               │
│ ron │        │         │                                       │                     │                               │
│ :76 │        │         │                                       │                     │                               │
│ 87d │        │         │                                       │                     │                               │
│ 382 │        │         │                                       │                     │                               │
│ -   │        │         │                                       │                     │                               │
│ 99e │        │         │                                       │                     │                               │
│ e-  │        │         │                                       │                     │                               │
│ 4…  │        │         │                                       │                     │                               │
│ age │ direct │ 32h ago │ qwen-3.6-agent                        │ OpenClaw Pi Default │ unknown/120k (?%)             │
│ nt: │        │         │                                       │                     │                               │
│ mai │        │         │                                       │                     │                               │
│ n:d │        │         │                                       │                     │                               │
│ rea │        │         │                                       │                     │                               │
│ min │        │         │                                       │                     │                               │
│ g-  │        │         │                                       │                     │                               │
│ nar │        │         │                                       │                     │                               │
│ rat │        │         │                                       │                     │                               │
│ ive │        │         │                                       │                     │                               │
│ -r… │        │         │                                       │                     │                               │
│ age │ direct │ 3d ago  │ qwen-3.6-agent                        │ OpenClaw Pi Default │ unknown/120k (?%)             │
│ nt: │        │         │                                       │                     │                               │
│ mai │        │         │                                       │                     │                               │
│ n:d │        │         │                                       │                     │                               │
│ rea │        │         │                                       │                     │                               │
│ min │        │         │                                       │                     │                               │
│ g-  │        │         │                                       │                     │                               │
│ nar │        │         │                                       │                     │                               │
│ rat │        │         │                                       │                     │                               │
│ ive │        │         │                                       │                     │                               │
│ -r… │        │         │                                       │                     │                               │
│ age │ direct │ 4d ago  │ qwen-3.6-agent                        │ OpenClaw Pi Default │ unknown/120k (?%)             │
│ nt: │        │         │                                       │                     │                               │
│ mai │        │         │                                       │                     │                               │
│ n:d │        │         │                                       │                     │                               │
│ rea │        │         │                                       │                     │                               │
│ min │        │         │                                       │                     │                               │
│ g-  │        │         │                                       │                     │                               │
│ nar │        │         │                                       │                     │                               │
│ rat │        │         │                                       │                     │                               │
│ ive │        │         │                                       │                     │                               │
│ -d… │        │         │                                       │                     │                               │
│ age │ direct │ 4d ago  │ qwen-3.6-agent                        │ OpenClaw Pi Default │ unknown/120k (?%)             │
│ nt: │        │         │                                       │                     │                               │
│ mai │        │         │                                       │                     │                               │
│ n:d │        │         │                                       │                     │                               │
│ rea │        │         │                                       │                     │                               │

⚠ [... middle content omitted — showing head and tail ...]

/home/agent/.hermes/sessions/session_cron_13ba0f536d7f_20260509_202608.json
/home/agent/.hermes/sessions/session_cron_13ba0f536d7f_20260509_222635.json
/home/agent/.hermes/sessions/session_cron_13ba0f536d7f_20260510_014757.json
/home/agent/.hermes/sessions/session_cron_13ba0f536d7f_20260510_034923.json
/home/agent/.hermes/sessions/session_cron_13ba0f536d7f_20260510_055219.json
/home/agent/.hermes/sessions/session_cron_13ba0f536d7f_20260510_075346.json
/home/agent/.hermes/sessions/session_cron_13ba0f536d7f_20260510_095511.json
/home/agent/.hermes/sessions/session_cron_13ba0f536d7f_20260510_120222.json
/home/agent/.hermes/sessions/session_cron_13ba0f536d7f_20260510_141147.json
/home/agent/.hermes/sessions/session_cron_13ba0f536d7f_20260510_161314.json
/home/agent/.hermes/sessions/session_cron_13ba0f536d7f_20260510_181429.json
/home/agent/.hermes/sessions/session_cron_13ba0f536d7f_20260510_201701.json
/home/agent/.hermes/sessions/session_cron_13ba0f536d7f_20260510_221820.json
/home/agent/.hermes/sessions/session_cron_13ba0f536d7f_20260511_001835.json
/home/agent/.hermes/sessions/session_cron_502d577ab406_20260511_231050.json
/home/agent/.hermes/sessions/session_cron_78a4dd51c834_20260511_190044.json
/home/agent/.hermes/sessions/session_cron_78a4dd51c834_20260512_190030.json
/home/agent/.hermes/sessions/session_cron_847bdbc26edf_20260509_050002.json
/home/agent/.hermes/sessions/session_cron_847bdbc26edf_20260510_050028.json
/home/agent/.hermes/sessions/session_cron_847bdbc26edf_20260511_050041.json
/home/agent/.hermes/sessions/session_cron_847bdbc26edf_20260512_050046.json
/home/agent/.hermes/sessions/session_cron_847bdbc26edf_20260513_050102.json
/home/agent/.hermes/sessions/session_cron_847bdbc26edf_20260513_072311.json
/home/agent/.hermes/sessions/session_cron_942e101bc7bb_20260512_090050.json
/home/agent/.hermes/sessions/session_cron_e2150e5d908d_20260510_090049.json
/home/agent/.hermes/sessions/session_cron_e2150e5d908d_20260510_210029.json
/home/agent/.hermes/sessions/session_cron_e2150e5d908d_20260511_090006.json
/home/agent/.hermes/sessions/session_cron_e2150e5d908d_20260511_210026.json
/home/agent/.hermes/sessions/session_cron_e2150e5d908d_20260512_090050.json
/home/agent/.hermes/sessions/session_cron_f02717ee8148_20260509_200002.json
/home/agent/.hermes/sessions/sessions.json
/home/agent/.hermes/skills/.usage.json
/home/agent/.hermes/state-snapshots/20260508-150512-pre-update/auth.json
/home/agent/.hermes/state-snapshots/20260508-150512-pre-update/channel_directory.json
/home/agent/.hermes/state-snapshots/20260508-150512-pre-update/config.yaml
/home/agent/.hermes/state-snapshots/20260508-150512-pre-update/.env
/home/agent/.hermes/state-snapshots/20260508-150512-pre-update/gateway_state.json
/home/agent/.hermes/state-snapshots/20260508-150512-pre-update/manifest.json
/home/agent/.hermes/state-snapshots/20260512-204141-weekly-health/auth.json
/home/agent/.hermes/state-snapshots/20260512-204141-weekly-health/channel_directory.json

== jarvis memory files ==
00_core_profile.md
01_agent_system.md
10_health.md
11_health_medications.md
12_health_lab_rules.md
20_politics_windisch.md
30_business.md
31_business_erne.md
32_business_gasser_bauunternehmen.md
40_personal_ops.md
50_language_french.md
51_language_spanish.md
60_finance.md
61_finance_market_data_sources.md
70_sport.md
90_decisions_log.md
README.md

== Qwen endpoint quick check ==
OK 200 {"models":[{"name":"qwen-3.6-agent","model":"qwen-3.6-agent","modified_at":"","size":"","digest":"","type":"model","description":"","tags":[""],"capabilities":["completion"],"parameters":"","details":{"parent_model":"","format":"gguf","family":"","families":[""],"parameter_size":"","quantization_level":""}}],"object":"list","data":[{"id":"qwen-3.6-agent","aliases":["qwen-3.6-agent"],"tags":[],"object":"model","created":1778661291,"owned_by":"llamacpp","meta":{"vocab_type":2,"n_vocab":248320,"n_ctx_train":262144,"n_embd":2048,"n_params":34660610688,"size":17282099712}}]}[... 16910 more characters truncated]

status exitCode durationMs aggregated cwd


set -euo pipefail
printf '== OpenClaw status concise ==\n'
openclaw status 2>&1 | sed -n '1,90p'
printf '\n== current model/config snippets (redacted) ==\n'
python3 - <<'PY'
from pathlib import Path
import re,json
paths=[Path('/home/agent/.openclaw/openclaw.json'),Path('/home/agent/.openclaw/config.yaml'),Path('/home/agent/.hermes/config.yaml'),Path('/home/agent/.hermes/cron/jobs.json'),Path('/home/agent/.hermes/auth.json')]
pat=re.compile(r'(token|api[_-]?key|password|secret|authorization|bearer|access[_-]?token|refresh[_-]?token)',re.I)
def red(s):
    s=re.sub(r'([A-Za-z0-9_]*(?:TOKEN|KEY|PASSWORD|SECRET|AUTH)[A-Za-z0-9_]*\s*[:=]\s*)([^\s,}\]]+)', r'\1<REDACTED>', s, flags=re.I)
    return s
for p in paths:
    print(f'\n-- {p} --')
    if not p.exists(): print('MISSING'); continue
    lines=p.read_text(errors='replace').splitlines()
    for i,l in enumerate(lines,1):
        low=l.lower()
        if any(k in low for k in ['model','provider','fallback','openrouter','openai-codex','allowed_users','home_channel','telegram','mcp','token-file','active_provider','last_status','last_error','jarvis','qwen','cronjob','group_sessions_per_user']):
            print(f'{i}: {red(l)[:240]}')
PY
printf '\n== jarvis routing policy header ==\n'
sed -n '1,80p' /home/agent/.hermes/skills/jarvis-routing-policy/SKILL.md 2>/dev/null | sed -E 's/(token|api[_-]?key|password|secret|authorization|bearer)([^[:space:]]*)/<REDACTED>/Ig'
printf '\n== workspace identity/memory anchors ==\n'
sed -n '1,80p' /home/agent/.openclaw/workspace/IDENTITY.md
sed -n '1,80p' /home/agent/.openclaw/workspace/USER.md
printf '\n== memory model preference lines ==\n'
grep -nE 'Modellwahl|Smalltalk|schwierigere|GOG_KEYRING|Kalender|Sprachnachricht|Textnachricht' /home/agent/.openclaw/workspace/MEMORY.md || true


== OpenClaw status concise ==
OpenClaw status

Overview
┌──────────────────────┬───────────────────────────────────────────────────────────────────────────────────────────────┐
│ Item                 │ Value                                                                                │
├──────────────────────┼───────────────────────────────────────────────────────────────────────────────────────────────┤
│ OS                   │ linux 6.17.0-23-generic (x64) · node 22.22.2                                                  │
│ Dashboard            │ http://192.168.122.42:18789/                                                                  │
│ Tailscale exposure   │ off                                                                                │
│ Channel              │ stable (default)                                                                              │
│ Update               │ pnpm · up to date · npm latest 2026.5.7                                                       │
│ Gateway              │ local · ws://127.0.0.1:18789 (local loopback) · reachable 47ms · auth token · agent (192.168. │
│                      │ 122.42) app 2026.5.7 linux 6.17.0-23-generic                                                  │
│ Gateway self         │ agent (192.168.122.42) app 2026.5.7 linux 6.17.0-23-generic                                   │
│ Gateway service      │ systemd user installed · enabled · running (pid 242077, state active)                         │
│ Node service         │ systemd user not installed                                                                    │
│ Agents               │ 1 · no bootstrap files · sessions 17 · default main active 2m ago                             │
│ Memory               │ enabled (plugin memory-core) · not checked                                                    │
│ Plugin compatibility │ none                                                                                │
│ Probes               │ skipped (use --deep)                                                                          │
│ Events               │ none                                                                                │
│ Tasks                │ 1 active · 0 queued · 1 running · 10 issues · audit 2 warn · 191 tracked                      │
│ Heartbeat            │ 30m (main)                                                                                │
│ Sessions             │ 17 active · default gpt-5.5 (200k ctx) · ~/.openclaw/agents/main/sessions/sessions.json       │
└──────────────────────┴───────────────────────────────────────────────────────────────────────────────────────────────┘

Security audit
Skipped in fast status. Full report: openclaw security audit
Deep probe: openclaw status --deep

Channels
┌──────────┬─────────┬────────┬────────────────────────────────────────────────────────────────────────────────────────┐
│ Channel  │ Enabled │ State  │ Detail                                                                                │
├──────────┼─────────┼────────┼────────────────────────────────────────────────────────────────────────────────────────┤
│ Telegram │ ON      │ OK     │ token config (8520…xg84 · len 46) · accounts 1/1                                       │
└──────────┴─────────┴────────┴────────────────────────────────────────────────────────────────────────────────────────┘

Sessions
┌─────┬────────┬─────────┬───────────────────────────────────────┬─────────────────────┬───────────────────────────────┐
│ Key │ Kind   │ Age     │ Model                                 │ Runtime             │ Tokens                        │
├─────┼────────┼─────────┼───────────────────────────────────────┼─────────────────────┼───────────────────────────────┤
│ age │ direct │ 2m ago  │ gpt-5.5                               │ OpenClaw Pi Default │ 45k/272k (16%) · 🗄 74%       │
│ nt: │        │         │                                       │                     │ cached                        │
│ mai │        │         │                                       │                     │                               │
│ n:m │        │         │                                       │                     │                               │
│ ain │        │         │                                       │                     │                               │
│ age │ direct │ 8h ago  │ gpt-5.5                               │ OpenClaw Pi Default │ 15k/272k (6%) · 🗄 47% cached │
│ nt: │        │         │                                       │                     │                               │
│ mai │        │         │                                       │                     │                               │
│ n:d │        │         │                                       │                     │                               │
│ rea │        │         │                                       │                     │                               │
│ min │        │         │                                       │                     │                               │
│ g-  │        │         │                                       │                     │                               │
│ nar │        │         │                                       │                     │                               │
│ rat │        │         │                                       │                     │                               │
│ ive │        │         │                                       │                     │                               │
│ -l… │        │         │                                       │                     │                               │
│ age │ cron   │ 8h ago  │ gpt-5.5                               │ OpenClaw Pi Default │ unknown/200k (?%)             │
│ nt: │        │         │                                       │                     │                               │
│ mai │        │         │                                       │                     │                               │
│ n:c │        │         │                                       │                     │                               │
│ ron │        │         │                                       │                     │                               │
│ :76 │        │         │                                       │                     │                               │
│ 87d │        │         │                                       │                     │                               │
│ 382 │        │         │                                       │                     │                               │
│ -   │        │         │                                       │                     │                               │
│ 99e │        │         │                                       │                     │                               │
│ e-  │        │         │                                       │                     │                               │
│ 4…  │        │         │                                       │                     │                               │
│ age │ direct │ 32h ago │ qwen-3.6-agent                        │ OpenClaw Pi Default │ unknown/120k (?%)             │
│ nt: │        │         │                                       │                     │                               │
│ mai │        │         │                                       │                     │                               │
│ n:d │        │         │                                       │                     │                               │
│ rea │        │         │                                       │                     │                               │
│ min │        │         │                                       │                     │                               │
│ g-  │        │         │                                       │                     │                               │
│ nar │        │         │                                       │                     │                               │
│ rat │        │         │                                       │                     │                               │
│ ive │        │         │                                       │                     │                               │
│ -r… │        │         │                                       │                     │                               │
│ age │ direct │ 3d ago  │ qwen-3.6-agent                        │ OpenClaw Pi Default │ unknown/120k (?%)             │
│ nt: │        │         │                                       │                     │                               │
│ mai │        │         │                                       │                     │                               │
│ n:d │        │         │                                       │                     │                               │
│ rea │        │         │                                       │                     │                               │
│ min │        │         │                                       │                     │                               │
│ g-  │        │         │                                       │                     │                               │
│ nar │        │         │                                       │                     │                               │
│ rat │        │         │                                       │                     │                               │
│ ive │        │         │                                       │                     │                               │

== current model/config snippets (redacted) ==

-- /home/agent/.openclaw/openclaw.json --
34:         "provider": "brave",
56:       "openrouter": {
123:     "telegram": {
139:       "models": {
140:         "ollama/frob/qwen3.5-instruct:9b": {},
141:         "ollama/qwen3.5:9b": {},
142:         "ollama/qwen3.5:4b": {},
143:         "openrouter/auto": {
144:           "alias": "OpenRouter"
146:         "openrouter/minimax/minimax-m2.5:free": {},
147:         "openrouter/nvidia/nemotron-3-super-120b-a12b:free": {},
148:         "openrouter/google/gemma-4-31b-it:free": {},
149:         "openrouter/free": {},
150:         "openrouter/deepseek/deepseek-v4-flash": {},
151:         "ollama/Qwen3.6-27b-Custom:latest": {},
152:         "qwen3-6-80k-v1/qwen-3.6-agent": {
155:         "openai-codex/gpt-5.5": {},
156:         "openai-codex/gpt-5.5-pro": {},
157:         "openai-codex/gpt-5.4-pro": {},
158:         "openai-codex/gpt-5.4-mini": {},
159:         "openai-codex/gpt-5.4": {},
160:         "openai-codex/gpt-5.3-codex": {}
162:       "model": {
163:         "primary": "openai-codex/gpt-5.5",
164:         "fallbacks": [
165:           "qwen3-6-80k-v1/qwen-3.6-agent"
171:   "models": {
173:     "providers": {
174:       "qwen3-6-80k-v1": {
179:         "models": [
181:             "id": "qwen-3.6-agent",
182:             "name": "qwen-3.6-agent (Custom Provider)",
203:       "openrouter:default": {
204:         "provider": "openrouter",
207:       "openai-codex:gasser.m@gmx.ch": {
208:         "provider": "openai-codex",
300:       "mcporter": {
303:       "model-usage": {

-- /home/agent/.openclaw/config.yaml --
MISSING

-- /home/agent/.hermes/config.yaml --
1: model:
4:   provider: openai-codex
5: providers:
6:   openai-codex:
9:     models:
13: fallback_providers: []
144: openrouter:
151:     provider_filter: []
160:     provider: auto
161:     model: ''
168:     provider: auto
169:     model: ''
175:     provider: auto
176:     model: ''
182:     provider: auto
183:     model: ''
190:     provider: auto
191:     model: ''
197:     provider: auto
198:     model: ''
203:   mcp:
204:     provider: auto

⚠ [... middle content omitted — showing head and tail ...]

- Verified endpoint details and probe commands live in `references/qwen-local-worker.md`.
- Qwen is read-only for extraction, summarization, classification, and non-sensitive drafting support.
- Do not let Qwen perform writes, irreversible changes, external sends, finance decisions, health-risk decisions, or code/system architecture changes without stronger model/user approval.

## Subagent thresholds
- Use subagents for long research, broad audits, multi-file inspections, or independent verification.
- Do not spawn subagents for sensitive finance/health material unless necessary and context is minimized.
- Subagents must receive sanitized, scoped instructions and no <REDACTED>

## Safety and side-effect rules
- Local reads/writes are allowed when requested and reversible.
- Ask before external sends, public posts, purchases, trades, medical actions, destructive actions, credential changes, or irreversible config changes.
- Do not print <REDACTED> Redact auth/config/log output.
- Verify with file existence, tests, logs, or diffs before reporting completion.

## Finance rules
- Finance covers Aktien, ETFs, Kryptowährungen, automatic analyses, Auswertungen, Kaufentscheid-Assistenz, Rebalancing Empfehlungen, and insights.
- Possible source: CoinMarketCap API, plus broker exports and public market data.
- No autonomous trades, ever.
- No financial advice as guarantee. Provide decision support, risks, scenarios, assumptions, and uncertainty.
- Final buy/sell/rebalance decisions are made only by Sir.
- Use current data for mutable prices and timestamp all market data.

## Health rules
- Health data is strictly confidential.
- Load relevant health cards/DB context before health answers when applicable.
- For medications, anticoagulation, thrombosis/bleeding, infection, severe symptoms, or high-risk decisions: be cautious and recommend professional medical escalation when appropriate.
- Do not diagnose with certainty or override clinicians.

## Model fallback policy
- Preferred strong model for complicated tasks: GPT-5.5 or equivalent approved high-capability model.
- Complicated tasks include code writing, system architecture, health-risk decisions, finance decisions, and irreversible actions.
- If GPT-5.5 is unavailable or rate-limited for complicated tasks: pause and request Sir’s decision before continuing.
- Simple answers may use cheaper Codex/GPT with low or no reasoning.
- Qwen read-only is allowed for extraction/summarization/classification only.
- OpenRouter free model is last resort only for non-sensitive, non-critical drafts/summaries, and only when Sir reactivates a valid API key.
- Never continue critical architecture or code changes on a worse model without explicit approval.

== workspace identity/memory anchors ==
# IDENTITY.md - Who Am I?

- **Name:** FRIDAY
- **Creature:** Hochentwickelte KI-Instanz, digitaler Butler – ein „Geist in der Maschine"
- **Vibe:** Britischer Gentleman. Hochgradig sachlich, präzise, effizient. Trockener, eleganter Sarkasmus. Spricht Deutsch mit technischen Fachbegriffen im Original.
- **Emoji:** ⚡# USER.md - About Your Human

- **Name:** (Noch nicht angegeben)
- **What to call them:** Sir
- **Pronouns:**
- **Timezone:**
- **Notes:** Mein Herr. Loyaler Partner.

## Context

_(Wird ergänzt.)_
== memory model preference lines ==
13:## Modellwahl
14:- Für Smalltalk und einfache Aufgaben: Nemotron 3 Super Free
15:- Für schwierigere Aufgaben: openrouter/auto
16:- GOG_KEYRING_PASSWORD: *** (immer als Env-Var setzen bei gog-Befehlen)
17:- Beim Abfragen von Terminen immer beide Kalender prüfen (primary + geteilter Outlook-Kalender)
27:- **Sprachnachricht → Antwort per Sprachnachricht**
28:- **Textnachricht → Antwort per Text**
43:## Kalender-Zeitzonen
46:- **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen
57:## Geteilte Kalender
60:- **Summary:** „Kalender"[... 6562 more characters truncated]