skill-audit

skill-audit is a skill for Claude Code from ivy00johns/Skill-Madness. It costs 110 tokens per session (1,499 once invoked), scanned A, original, MIT.

A bulk review tool for coding-agent skills. It checks skills for consistency, quality problems, missing information, and overlapping ownership.

In plain words
What is it for?
Auditing all skills or selected groups, checking descriptions and metadata, finding ownership conflicts, and performing release or health checks.
Why use it?
It helps find ecosystem-wide issues that may be missed when reviewing one skill at a time.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md; mentions subagents.

Part of the skill-madness plugin — 80 skills shipped together

Good fit Auditing all skills or selected groups, checking descriptions and metadata, finding ownership conflicts, and performing release or health checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ivy00johns/skill-madness/skill-audit
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.

Any agent
npx skills add ivy00johns/Skill-Madness --skill skill-audit
Clone the repo
git clone --depth 1 https://github.com/ivy00johns/Skill-Madness

Made for: Claude Code.

Or install skill-madness, the plugin that ships this one along with the rest of its 80 skills.

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-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/ivy00johns/skill-madness/skill-audit/github.svg)](https://agentmods.dev/skills/ivy00johns/skill-madness/skill-audit)
Your own site
<a href="https://agentmods.dev/skills/ivy00johns/skill-madness/skill-audit"><img src="https://agentmods.dev/badge/skills/ivy00johns/skill-madness/skill-audit/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-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/ivy00johns/skill-madness/skill-audit"><img src="https://agentmods.dev/badge/skills/ivy00johns/skill-madness/skill-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,499 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 $0.00110 $0.01499
Opus 5 $0.00055 $0.00749
Sonnet 5 $0.00022 $0.00300
Haiku 4.5 $0.00011 $0.00150

Measured 8d ago against content hash e28c693f04d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

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 8d 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/archive/skill-audit/SKILL.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Audit

Broad scan across all skills (or a filtered subset) to surface consistency issues, quality gaps, ownership conflicts, and ecosystem-level problems that individual reviews miss.

When to Use

  • Periodic health check on the skill ecosystem
  • After bulk edits or a new batch of skills is added
  • Before a release to validate ecosystem integrity
  • Investigating systemic issues (e.g., "why do none of my skills trigger?")

Inputs

  • Scopeall (default), or a filter: category (roles, meta, contracts, workflows, orchestrator), or a list of specific skill names
  • Focus (optional) — narrow the audit to specific checks (e.g., "just ownership", "just descriptions")

Process

Phase 1: Discovery

Enumerate all skills in scope:

  1. Glob for skills/**/SKILL.md
  2. Parse frontmatter from each
  3. Build a skill inventory table:
| Skill | Category | Version | Description Length | Body Lines | Refs Count |

Phase 2: Bulk Checks

Run these checks across all skills in scope. Use subagents to parallelize where possible — each check category can run independently.

2a. Frontmatter Consistency

For every skill:

  • Required fields present (name, version, description)
  • Version is valid semver
  • Name matches directory name
  • Description starts with action verb
  • Description length vs 200-char target

Produce a table of violations.

2b. Ownership Conflict Detection

For agent role skills only:

  • Collect all owns.directories declarations
  • Collect all owns.patterns declarations
  • Check for overlaps (two agents claiming the same directory)
  • Validate against the v1.1 resolved conflicts table in frontmatter-spec.md
  • Flag any new conflicts

Produce a conflict map.

2c. Description Quality Scoring

For every skill:

  • Has action verb? (boolean)
  • Has ≥3 trigger contexts? (count)
  • Has keyword variants? (boolean)
  • States exclusions if ambiguous? (boolean)
  • Estimated "pushiness" (low/medium/high)

Produce a ranked list from weakest to strongest descriptions.

Read the full file on GitHub · 190 lines

Files

What ships with it

2 files 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. 8d ago First seen · 190 lines · 110 tokens per session scan A e28c693f04d0

Subscribe to this mod's changes

skill-audit is a skill published in the GitHub repository ivy00johns/Skill-Madness (11 stars, last pushed today), licensed MIT. It adds 110 tokens to every session and 1,499 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens