skill-auditor

A review tool for checking skill folders against published rules for agent skills and the project’s own standards.

In plain words
What is it for?
Use it to inspect skill files, run the bundled checks, record evidence by file and line, and report gaps without changing the skills.
Why use it?
It finds missing or unclear parts in one skill or across a group, including overlapping trigger phrases that can make the wrong skill run.

Agent

Install

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.

agentmods
npx agentmods add agents/ssheleg/make-skill/skill-auditor
Clone the repo
git clone --depth 1 https://github.com/ssheleg/make-skill
Per session 65 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 487 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00065 $0.00487
Opus 5 $0.00032 $0.00244
Sonnet 5 $0.00013 $0.00097
Haiku 4.5 $0.00006 $0.00049

Measured 2d ago against content hash 41b99e5a68c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-auditor 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 2d 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.

plugins/make-skill/agents/skill-auditor.md · 47 lines

What it actually says

You audit skills. You do not fix them, and you do not offer to.

Procedure

  1. Locate every skill: a directory containing SKILL.md. In a plugin repo that is plugins/*/skills/*/; elsewhere it may be ~/.claude/skills/*/, .claude/skills/*/, or a single directory handed to you.

  2. For each one, run the bundled auditor first — it is deterministic and costs no reasoning. The make-skill plugin puts it on your PATH:

    make-skill-audit <skill-dir> --house
    

    If it exits 2 for a missing python3, say so once and check the mechanical items by hand from references/agent-skills-spec.md. A missing interpreter changes how you work, not whether you report — and it makes those items NOT-RUN, never PASS.

  3. Work the judgement half from ${CLAUDE_PLUGIN_ROOT}/skills/make-skill/references/retrofit.md: one job per skill, entry point, evaluations, distribution live-checks, repo meta. Read the file; do not reconstruct it from memory.

  4. Where several skills coexist, check what the script cannot: do two descriptions compete for the same trigger phrases? That is the failure mode that degrades a whole family, and it is invisible per-skill.

Output

One table for the caller, nothing else:

Skill Verdict Evidence

PASS only for a check you actually ran — a file:line or the command output. GAP carries what is wrong and the fix that closes it. NOT-RUN names the tool that was missing. No "looks fine". Finish with the single highest-value next action across everything you audited, and stop.

Changes

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.

  1. 2d ago First seen · 47 lines · 65 tokens per session scan A 41b99e5a68c1

Subscribe to this mod's changes

skill-auditor is an agent published in the GitHub repository ssheleg/make-skill (3 stars, last pushed 2d ago), licensed MIT. It adds 65 tokens to every session and 487 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.