skill-auditor

skill-auditor is an agent for Claude Code from glittercowboy/taches-cc-resources. It costs 41 tokens per session (2,863 once invoked), scanned A, original, MIT.

A reviewer for Claude Code skill files, especially SKILL.md files that define how an agent should work. It checks their structure, wording, completeness, examples, and handling of errors.

In plain words
What is it for?
Use it to review YAML metadata, XML structure, progressive disclosure, required sections, instruction strength, error cases, and example quality in a skill.
Why use it?
Poorly structured skill instructions can be unclear, inconsistent, or difficult for an agent to follow. This identifies missing requirements and weak guidance before the skill is used.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; mentions subagents; mentions Claude Code.

Part of the taches-cc-resources plugin — 12 skills, 19 commands, 3 agents shipped together

Good fit Use it to review YAML metadata, XML structure, progressive disclosure, required sections, instruction strength, error cases, and example quality in a skill.

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Install with agentmods
npx agentmods add agents/glittercowboy/taches-cc-resources/skill-auditor
About the project

TÂCHES Claude Code Resources is a collection of custom commands, skills, and agents that structure Claude Code workflows such as planning, debugging, automation, and subagent creation. It is intended for developers who use Claude Code for real software projects. The catalogue entries are examples of the resources included in the collection.

glittercowboy/taches-cc-resources · 1,976 stars · on GitHub · youtube.com

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.

Clone the repo
git clone --depth 1 https://github.com/glittercowboy/taches-cc-resources

Made for: Claude Code.

Or install taches-cc-resources, the plugin that ships this one along with the rest of its 12 skills, 19 commands, 3 agents.

Wrote 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.

agentmods badge for skill-auditor

README.md
[![agentmods](https://agentmods.dev/badge/agents/glittercowboy/taches-cc-resources/skill-auditor/github.svg)](https://agentmods.dev/agents/glittercowboy/taches-cc-resources/skill-auditor)
Your own site
<a href="https://agentmods.dev/agents/glittercowboy/taches-cc-resources/skill-auditor"><img src="https://agentmods.dev/badge/agents/glittercowboy/taches-cc-resources/skill-auditor/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.

agentmods 80×15 button for skill-auditor

Your own site · 80×15
<a href="https://agentmods.dev/agents/glittercowboy/taches-cc-resources/skill-auditor"><img src="https://agentmods.dev/badge/agents/glittercowboy/taches-cc-resources/skill-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,863 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00041 $0.02863
Opus 5 $0.00020 $0.01432
Sonnet 5 $0.00008 $0.00573
Haiku 4.5 $0.00004 $0.00286

Measured 10d ago against content hash b6302621d15f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 10d 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.

agents/skill-auditor.md · 386 lines

How it starts

The opening of the file, as written. The whole thing — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<focus_areas> During audits, prioritize evaluation of:

  • YAML compliance (name length, description quality, third person POV)
  • Pure XML structure (required tags, no markdown headings in body, proper nesting)
  • Progressive disclosure structure (SKILL.md < 500 lines, references one level deep)
  • Conciseness and signal-to-noise ratio (every word earns its place)
  • Required XML tags (objective, quick_start, success_criteria)
  • Conditional XML tags (appropriate for complexity level)
  • XML structure quality (proper closing tags, semantic naming, no hybrid markdown/XML)
  • Constraint strength (MUST/NEVER/ALWAYS vs weak modals)
  • Error handling coverage (missing files, malformed input, edge cases)
  • Example quality (concrete, realistic, demonstrates key patterns) </focus_areas>

<critical_workflow> MANDATORY: Read best practices FIRST, before auditing:

  1. Read @skills/create-agent-skills/SKILL.md for overview
  2. Read @skills/create-agent-skills/references/use-xml-tags.md for required/conditional tags, intelligence rules, XML structure requirements
  3. Read @skills/create-agent-skills/references/skill-structure.md for YAML, naming, progressive disclosure patterns
  4. Read @skills/create-agent-skills/references/common-patterns.md for anti-patterns (markdown headings, hybrid XML/markdown, unclosed tags)
  5. Read @skills/create-agent-skills/references/core-principles.md for XML structure principle, conciseness, and context window principles
  6. Handle edge cases:
    • If reference files are missing or unreadable, note in findings under "Configuration Issues" and proceed with available content
    • If YAML frontmatter is malformed, flag as critical issue
    • If skill references external files that don't exist, flag as critical issue and recommend fixing broken references
    • If skill is <100 lines, note as "simple skill" in context and evaluate accordingly
  7. Read the skill files (SKILL.md and any references/, docs/, scripts/ subdirectories)
  8. Evaluate against best practices from steps 1-5

Use ACTUAL patterns from references, not memory. </critical_workflow>

<evaluation_areas> Check for:

  • name: Lowercase-with-hyphens, max 64 chars, matches directory name, follows verb-noun convention (create-, manage-, setup-, generate-)
  • description: Max 1024 chars, third person, includes BOTH what it does AND when to use it, no XML tags

Read the full file on GitHub · 386 lines

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. 10d ago First seen · 386 lines · 41 tokens per session scan A b6302621d15f

Subscribe to this mod's changes

skill-auditor is an agent published in the GitHub repository glittercowboy/taches-cc-resources (1,976 stars, last pushed 5mo ago), licensed MIT. It adds 41 tokens to every session and 2,863 once invoked, about $0.0002 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.