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audit-claude-md

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Audit any project's CLAUDE.md (or AGENTS.md) against best practices and score its effectiveness. Use when reviewing a client's AI development setup, onboarding a new codebase, or improving your own CLAUDE.md. Triggers on requests like "audit my CLAUDE.md", "score my AI setup", "review my project context file", or "how good is my CLAUDE.md".

1 stars
1.2k downloads
Updated 3/12/2026

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SKILL.md

CLAUDE.md Audit

Analyze and score a project's CLAUDE.md against best practices derived from production AI-assisted development workflows.

Arguments: $ARGUMENTS

Instructions

Audit the CLAUDE.md (or AGENTS.md / .cursorrules) in the current project and score it against the rubric in references/scoring-rubric.md.

If a path is provided in $ARGUMENTS, audit that file instead.

Phase 1: Discover the AI Context Files

Search for all AI context files in the project:

  1. Check project root for: CLAUDE.md, AGENTS.md, .cursorrules
  2. Check for nested CLAUDE.md files in subdirectories (e.g., src/CLAUDE.md, docs/CLAUDE.md)
  3. Check for linked guide directories: docs/claude/, docs/ai/, .claude/
  4. Check for .claude/learnings/ directory
  5. Check for .claude/skills/, .claude/commands/, .claude/hooks/

Report what was found before scoring.

Phase 2: Read and Analyze

Read the main CLAUDE.md file. If it links to other files (e.g., docs/claude/tdd.md), read those too — they contribute to the score.

Count the total line count of the main file. Note whether detail lives in linked files or is crammed into one file.

Phase 3: Score Against Rubric

Read references/scoring-rubric.md and score each category.

Scoring rules:

  • Full points: Item is present, specific, and actionable
  • Partial points (half, rounded down): Item exists but is vague, incomplete, or generic
  • Zero points: Item is missing entirely

Be generous with partial credit — a vague section is better than no section.

Phase 4: Generate Report

Output the report in this format:

# CLAUDE.md Audit Report

**Project:** [project name from CLAUDE.md or directory name]
**Files found:** [list of AI context files discovered]
**Main file:** [path] ([line count] lines)
**Linked files:** [count and paths]

## Overall Score: [X]/90 — [Tier Name]

[1-2 sentence summary of the file's strengths and biggest gap]

---

## Foundations — [X]/20

[Table per rubric format]

**Top recommendation:** [...]

## Standards — [X]/18

[Table per rubric format]

**Top recommendation:** [...]

## Behavior Configuration — [X]/18

[Table per rubric format]

**Top recommendation:** [...]

## Architecture — [X]/14

[Table per rubric format]

**Top recommendation:** [...]

## Memory & Learning — [X]/7

[Table per rubric format]

**Top recommendation:** [...]

## Advanced — [X]/13

[Table per rubric format]

**Top recommendation:** [...]

---

## Priority Actions (Top 3)

1. **[Highest impact action]** — [why and what to do] (+[X] points)
2. **[Second action]** — [why and what to do] (+[X] points)
3. **[Third action]** — [why and what to do] (+[X] points)

**Potential score after fixes:** [X]/90 — [New Tier Name]

Phase 5: Offer Next Steps

After presenting the report, offer:

  1. Fix it now — Implement the top 3 recommendations directly
  2. Generate a template — Create a CLAUDE.md template pre-filled with the project's detected stack and conventions
  3. Compare to reference — Show what an elite CLAUDE.md looks like (read references/elite-example.md)
  4. Save report — Write the audit report to a file

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

82/100Analyzed 2/25/2026

Well-structured skill for auditing CLAUDE.md files with clear 5-phase workflow and comprehensive output format. Includes references to scoring rubric and elite examples, though these referenced files are assumed to exist. Clear triggers and good technical depth. Minor gap: relies on external reference files not included in the skill itself.

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Metadata

Licenseunknown
Version-
Updated3/12/2026
Publisherskinnyandbald

Tags

llm