solo-skill-audit

A skill-quality audit that scores a skill against a 12-part checklist based on Anthropic’s published best-practice guidance. It reads the skill instructions and, when present, its references, scripts, and assets.

In plain words
What is it for?
Use it when you want to audit, review, score, or check the quality of a skill.
Why use it?
It turns a broad review into a consistent score and points out specific improvements for weak areas. It is intended for skills, not general knowledge-base audits or ordinary code reviews.

Skill for Claude CodeCodex

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 skills/fortunto2/rust-code/skill-audit
Any agent
npx skills add fortunto2/rust-code --skill skill-audit
Clone the repo
git clone --depth 1 https://github.com/fortunto2/rust-code

Made for: Claude Code, Codex.

Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,188 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 $0.00078 $0.01188
Opus 5 $0.00039 $0.00594
Sonnet 5 $0.00016 $0.00238
Haiku 4.5 $0.00008 $0.00119

Measured 2d ago against content hash d8ed34ddcb32, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

solo-skill-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 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.

skills/skill-audit/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/skill-audit

Audit a skill against the quality checklist based on Anthropic's internal best practices for Claude Code skills. Reads the skill's SKILL.md, references/, scripts/, and evaluates across 12 dimensions.

Source: https://x.com/trq212/status/2033949937936085378

Checklist Reference

Full checklist with scoring rubric: references/checklist.md

Steps

  1. Locate skill from $ARGUMENTS:

    • If name: search skills/{name}/SKILL.md in current project, then ~/.claude/plugins/**/skills/{name}/SKILL.md
    • If path: read directly
    • If empty: list available skills via Glob **/skills/*/SKILL.md, ask via AskUserQuestion
  2. Read skill contents (parallel):

    • SKILL.md — main skill file
    • references/* — all reference files (if dir exists)
    • scripts/* — all scripts (if dir exists)
    • assets/* — all assets (if dir exists)
    • Count total lines of SKILL.md
  3. Read checklist from references/checklist.md

  4. Evaluate each dimension — for every checklist item, assess based on what you read:

    For each of the 12 dimensions:

    • State what you found (evidence)
    • Score 0, 1, or 2 (use rubric from checklist)
    • If score < 2: give one specific fix
  5. Determine category — classify skill into one of 9 types from checklist. Flag if it straddles multiple.

  6. Output scorecard:

    ## Skill Audit: {skill-name}
    
    **Score:** {N}/24 (Grade: {A/B/C/D/F})
    **Category:** {type}
    **SKILL.md:** {N} lines | **References:** {N} files | **Scripts:** {N} files
    
    | # | Dimension | Score | Notes |
    |---|-----------|-------|-------|
    | 1 | Category Fit | {0-2} | {one line} |
    | 2 | Description Quality | {0-2} | {one line} |
    | 3 | Progressive Disclosure | {0-2} | {one line} |
    | 4 | Gotchas | {0-2} | {one line} |
    | 5 | Don't State Obvious | {0-2} | {one line} |
    | 6 | Flexibility | {0-2} | {one line} |
    | 7 | Setup & Config | {0-2} | {one line} |
    | 8 | Memory & State | {0-2} | {one line} |
    | 9 | Scripts & Code | {0-2} | {one line} |
    | 10 | Allowed Tools | {0-2} | {one line} |
    | 11 | Argument Handling | {0-2} | {one line} |
    | 12 | Output & Artifacts | {0-2} | {one line} |
    
    ### Top 3 Fixes (highest impact)
    1. {fix}
    2. {fix}
    3. {fix}
    

Read the full file on GitHub · 101 lines

Files

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.

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 · 101 lines · 78 tokens per session scan A d8ed34ddcb32

Subscribe to this mod's changes

solo-skill-audit is a skill published in the GitHub repository fortunto2/rust-code (41 stars, last pushed 10d ago), licensed MIT. It adds 78 tokens to every session and 1,188 once invoked, about $0.0004 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.