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Skill Audit

Community
Rtur2003
skill-audit

Use when a skill isn't triggering as expected, before adding a new skill (to check for a name collision), during periodic cleanup of an accumulated skills directory, or when asked to review skill quality — checks frontmatter validity, description quality against Skill Discovery Optimization conventions, body size, and cross-scope name collisions.

Overview

PublisherRtur2003
RepositoryClaude-Code-Promts-Skills
Skill nameskill-audit
Stars
56
Forks
16
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Rtur2003 on GitHub. Read the source before you install it.

Installation

Install the Skill Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Rtur2003/Claude-Code-Promts-Skills/tree/main/.agents/skills/skill-audit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Rtur2003/Claude-Code-Promts-Skills.git /tmp/Claude-Code-Promts-Skills
mkdir -p .claude/skills
cp -r /tmp/Claude-Code-Promts-Skills/.agents/skills/skill-audit .claude/skills/skill-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Skill Audit

Overview

Skills accumulate. Nobody deletes them, most developers hit 8-12 installed skills before the per-session token cost of loading every description starts to outweigh the benefit, and a skill installed at both the personal and project scope with the same name fails silently — the higher-precedence one wins and the other never fires, with no error anywhere. This script checks the mechanical properties that predict a skill working or silently failing: valid frontmatter, a description that leads with the trigger (not a workflow summary), a body under the token-efficiency guideline, and no name collision across scopes.

Core principle: A skill that never triggers and a skill that doesn't exist have the same effect on the user, but only one of them is visible in a directory listing. This script finds the invisible kind.

Usage

bash
python3 ${CLAUDE_SKILL_DIR}/scripts/audit.py [skills_dir ...]

With no arguments, checks .claude/skills/ (project) and ~/.claude/skills/ (personal) if they exist. Pass explicit paths to also check a plugin's skills/ directory. Exit code 0 = clean, 1 = findings, 2 = usage error.

bash
python3 ${CLAUDE_SKILL_DIR}/scripts/audit.py .claude/skills ~/.claude/skills ./my-plugin/skills

What it checks

CheckWhy it matters
Frontmatter parsesA SKILL.md without valid ----delimited YAML at the top cannot be discovered reliably by the host
name field matches directory nameThe command comes from the directory name for personal/project skills; a mismatched name field is almost always a copy-paste leftover from another skill
Description opens with a trigger phrasePer Skill Discovery Optimization: "Route the task and adopt it as your instructions" (what it does) trains the model to act on the summary instead of reading the body; "Use when the user names a task" (when to fire) doesn't
Description doesn't summarize the workflowA description that describes the process ("dispatches a subagent per task, reviews between each") gives the model a shortcut that has been observed to cause it to skip steps the actual skill body specifies
Description lengthOver 1024 characters fails the Agent Skills spec limit
Body word countPast ~2000 words (~500 lines), token cost per invocation is high enough that a reference file loaded on demand almost always beats keeping everything inline
Cross-scope name collisionsTwo SKILL.md files with the same name (or same directory name) at different scopes — one always wins, the other never triggers, and nothing tells you which

What it does not check

Whether the skill's instructions are correct, whether it actually gets invoked on the prompts it should (that requires running real scenarios — see the with-skill/without-skill baseline in agent-skills-prompt.md), or whether supporting files referenced from the body actually exist and are useful. This script catches the mechanical failure modes; it is not a substitute for testing trigger accuracy.

Remember

A clean audit means the skill is structurally capable of working. It says nothing about whether it triggers on the right prompts or produces the right output — that's a separate, behavioral test, not a static one.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Audit AI skill do?

Use when a skill isn't triggering as expected, before adding a new skill (to check for a name collision), during periodic cleanup of an accumulated skills directory, or when asked to review skill quality — checks frontmatter validity, description quality against Skill Discovery Optimization conventions, body size, and cross-scope name collisions.

Why use Skill Audit on TypingMind?

Because you install it once and use it with any model. Skill Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Rtur2003/Claude-Code-Promts-Skills/tree/main/.agents/skills/skill-audit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Audit?

As many as you like. As long as a model supports skills, you can use Skill Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Audit AI skill free?

Yes. It is published on GitHub by Rtur2003 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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