Borrowing it
Nothing to install: this file belongs to arnwaldn/agent-owl. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/arnwaldn/agent-owl/main/CLAUDE.mdgit clone --depth 1 https://github.com/arnwaldn/agent-owlWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/arnwaldn/agent-owl/claude-md)<a href="https://agentmods.dev/instructions/arnwaldn/agent-owl/claude-md"><img src="https://agentmods.dev/badge/instructions/arnwaldn/agent-owl/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/arnwaldn/agent-owl/claude-md"><img src="https://agentmods.dev/badge/instructions/arnwaldn/agent-owl/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01120 | $0.01120 |
| Opus 5.5 | $0.00448 | $0.00448 |
| Sonnet 5.5 | $0.00224 | $0.00224 |
| Haiku 4.5 | $0.00112 | $0.00112 |
Grade A, and why
agent-owl CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Owl v3.0
Cryptographic file integrity agent with OWL/RDF audit trail and EU AI Act (Reg. 2024/1689) compliance. Multi-project, fully autonomous — zero configuration needed.
Architecture
agent_owl/
├── ontology.ttl # OWL 2 DL ontology (TBox) — 709 triples
├── ontology-shacl.ttl # SHACL shapes — 194 triples (core + high_risk)
├── store.py # Thread-safe RDF store (rdflib, ReentrantLock)
├── hasher.py # Streaming hash: SHA-256, SHA-512, BLAKE2b
├── agent.py # Core agent: watchdog, scan, events, config resolution
├── discovery.py # Walk-up config finder, project root detection, AgentCache
├── compliance.py # EU AI Act engine: register, report, retention, incidents
├── validator.py # SHACL validation (core + high_risk tiers)
├── annexe_iv.py # Annex IV documentation completeness (9 points)
├── report.py # HTML/Markdown report generator (Jinja2)
├── _utils.py # Internal utilities
├── __init__.py # Package init (v3.1.0)
├── __main__.py # CLI entry point
└── templates/
├── report.html.j2 # HTML compliance report template
└── report.md.j2 # Markdown compliance report template
agent_owl_mcp_server.py # FastMCP server — 15 tools, multi-project via AgentCache
hooks/ # Claude Code hooks (SessionStart, PostWrite, PostBash)
commands/owl-audit.md # Skill command /owl-audit
audit_store/ # Runtime data (per-project, gitignored)
└── audit.ttl # Accumulated RDF data (ABox)
Key Design Decisions
- Config-relative paths:
store_pathandwatch_pathsresolve from config file directory, not CWD - Immutable TBox: Ontology (ontology.ttl) is loaded once and never modified at runtime
- Mutable ABox: Audit data (audit.ttl) accumulates events, versions, hashes
- Thread safety: ReentrantLock in AuditStore, Lock + OrderedDict in AgentCache
- Snapshot-then-flush: Cache operations snapshot under lock, flush I/O outside lock
- Auto-init: Hooks detect project roots (15 markers) and initialize AO automatically
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 106 lines · 1,120 tokens per session scan A 3805b490be8c
agent-owl CLAUDE.md is an instructions file published in the GitHub repository arnwaldn/agent-owl (1 stars, last pushed 2mo ago), licensed MIT. It adds 1,120 tokens to every session, about $0.0045 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
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Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.