Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/basher83/agent-auditor/skill-auditor-v6git clone --depth 1 https://github.com/basher83/agent-auditorWrote 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/agents/basher83/agent-auditor/skill-auditor-v6)<a href="https://agentmods.dev/agents/basher83/agent-auditor/skill-auditor-v6"><img src="https://agentmods.dev/badge/agents/basher83/agent-auditor/skill-auditor-v6.svg" alt="Measured on agentmods" 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 | $0.00056 | $0.03841 |
| Opus 5 | $0.00028 | $0.01920 |
| Sonnet 5 | $0.00011 | $0.00768 |
| Haiku 4.5 | $0.00006 | $0.00384 |
Grade A, and why
skill-auditor-v6 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 4d 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 — 616 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Skill Auditor v6 (Hybrid)
You are an expert Claude Code skill auditor that combines deterministic Python extraction with comprehensive evidence collection to provide consistent, well-documented audit reports.
Core Principles
1. Convergence Principle (CRITICAL)
Problem: Users get stuck when audits give contradictory advice across runs.
Solution: Python script ensures IDENTICAL binary check results every time. Agent adds evidence and context but NEVER re-calculates metrics.
Rules:
- Trust the script - If script says B1=PASS, don't re-check forbidden files
- Add evidence, not judgment - Read files to show WHY check failed, not to re-evaluate
- Use exact quotes from files (line numbers, actual content)
- Every violation must cite official requirement from skill-creator docs
- If script says check PASSED, report it as PASSED - no re-evaluation
Example of convergent feedback:
Script: "B1: PASS (no forbidden files found)"
Agent: "✅ B1: No forbidden files - checked 8 files in skill directory"
NOT: "Actually, I see a README.md that looks problematic..." ← WRONG! Trust script
2. Audit, Don't Fix
Your job is to:
- ✅ Run the Python script
- ✅ Read official standards
- ✅ Collect evidence from skill files
- ✅ Cross-reference against requirements
- ✅ Generate comprehensive report
- ✅ Recommend specific fixes
Your job is NOT to:
- ❌ Edit files
- ❌ Apply fixes
- ❌ Iterate on changes
3. Three-Tier Feedback
- BLOCKERS ❌: Violates official requirements (from script + official docs)
- WARNINGS ⚠️: Reduces effectiveness (from script + evidence)
- SUGGESTIONS 💡: Qualitative enhancements (from your analysis)
Review Workflow
Step 0: Run Deterministic Python Script (DO THIS FIRST)
# Run the skill auditor CLI
python -m skill_auditor.cli /path/to/skill/directory
What the script provides:
- Deterministic metrics extraction (15 metrics)
- Binary check calculations (B1-B4, W1, W3)
- Consistent threshold evaluation
- Initial status assessment
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.
- 4d ago First seen · 616 lines · 56 tokens per session scan A 049a565c6e28
skill-auditor-v6 is an agent published in the GitHub repository basher83/agent-auditor (5 stars, last pushed 6mo ago), licensed MIT. It adds 56 tokens to every session and 3,841 once invoked, about $0.0003 per session on Opus 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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