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 skills add majiayu000/claude-skill-registry --skill agent-audit-elliotjlt-claude-skill-potionsgit clone --depth 1 https://github.com/majiayu000/claude-skill-registryWrote 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/skills/majiayu000/claude-skill-registry/agent-audit-elliotjlt-claude-skill-potions)<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-audit-elliotjlt-claude-skill-potions"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-audit-elliotjlt-claude-skill-potions/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/skills/majiayu000/claude-skill-registry/agent-audit-elliotjlt-claude-skill-potions"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-audit-elliotjlt-claude-skill-potions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00069 | $0.03200 |
| Opus 5 | $0.00034 | $0.01600 |
| Sonnet 5 | $0.00014 | $0.00640 |
| Haiku 4.5 | $0.00007 | $0.00320 |
Grade A, and why
agent-audit 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 13d 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 — 434 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Audit
This skill treats agent optimization like dead code elimination: instrument, measure, identify what's actually used, strip the rest. The goal isn't "what could be useful" but "what's actually necessary."
When To Activate
Trigger when:
- Inheriting or reviewing an existing agent
- Agent costs are higher than expected
- Agent is slower than it should be
- "Can we make this cheaper/faster without breaking it?"
- Preparing for production deployment
- Refactoring agent architecture
The Audit Framework
Instructions
Step 1: Instrument the Agent
Before optimizing, understand current behavior. Add logging for:
INSTRUMENTATION CHECKLIST:
□ Tool calls
- Which tools are called?
- How often?
- What arguments?
- What's returned?
- How long do they take?
□ Model usage
- Which model handles which tasks?
- Token counts (input/output)
- Latency per call
- Cost per call
□ Context composition
- What's in the system prompt?
- What's retrieved/injected?
- What's the token breakdown?
□ Control flow
- Which branches are taken?
- How many iterations per task?
- Where does it loop/retry?
□ Errors and fallbacks
- Which error paths fire?
- How often?
- What triggers fallbacks?
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago First seen · 434 lines · 69 tokens per session scan A 433ca4afb85d
agent-audit is a skill published in the GitHub repository majiayu000/claude-skill-registry (604 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 3,200 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 2026-08-30.
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