# project-skill-audit

Audits past Codex sessions, memory logs, and local skills. It identifies recurring workflows to recommend high-priority skill updates or additions.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 785 installs · ★ 4009
- Author: Dimillian
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/Dimillian/Skills/tree/HEAD/project-skill-audit/SKILL.md
- Updated: 2026-03-29
- HTML: https://affpapa.org/en/nevibecode/skills/project-skill-audit

## What it does

The skill maps project guidelines by reading `AGENTS.md`, `README.md`, and local documentation. Next, it inspects memory files in `$CODEX_HOME` or `~/.codex`, searching `MEMORY.md` and rollout summaries before checking raw session JSONL logs for missing command details.

It examines existing repository skills inside `.agents/skills`, `.codex/skills`, and `skills`, checking both `SKILL.md` and `agents/openai.yaml`. It also compares potential local additions against shared skills in `$CODEX_HOME/skills` to prevent redundant definitions.

When an existing skill already matches a workflow, the audit prioritizes updating its triggers and guardrails over writing duplicate files. Because the analysis relies heavily on past Codex session traces, running it in a completely clean environment yields minimal insight.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add Dimillian/Skills --skill project-skill-audit -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/project-skill-audit/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/project-skill-audit/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add Dimillian/Skills --skill project-skill-audit -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/project-skill-audit/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add Dimillian/Skills --skill project-skill-audit -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/project-skill-audit/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install Dimillian/Skills project-skill-audit
```

2. **Manually: put the files in place**
- File: `.github/skills/project-skill-audit/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add Dimillian/Skills --skill project-skill-audit -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/Dimillian/Skills --path project-skill-audit
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/project-skill-audit/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add Dimillian/Skills --skill project-skill-audit -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/Dimillian/Skills/tree/HEAD/project-skill-audit/SKILL.md

## When to use it
- extract recurring project workflows from past Codex session logs
- identify outdated validation commands and triggers in local skill files
- reconcile drift between `SKILL.md` and `agents/openai.yaml`
- prevent duplicate skill creation when existing skills already cover the task

## Example prompts
- Audit our local project skills and past Codex sessions.
- Review MEMORY.md and tell me which skills we need to create or update.
- Check existing skills in .agents/skills against recent workflow failures.

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 13434995df850302.

BEGIN THIRD-PARTY FILE 13434995df850302
```text
---
name: project-skill-audit
description: Analyze a project's past Codex sessions, memory files, and existing local skills to recommend the highest-value skills to create or update. Use when a user asks what skills a project needs, wants skill ideas grounded in real project history, wants an audit of current project-local skills, or wants recommendations for updating stale or incomplete skills instead of creating duplicates.
---

# Project Skill Audit

## Overview

Audit the project's real recurring workflows before recommending skills. Prefer evidence from memory, rollout summaries, existing skill folders, and current repo conventions over generic brainstorming.

Recommend updates before new skills when an existing project skill is already close to the needed behavior.

## Workflow

1. Map the current project surface.
   Identify the repo root and read the most relevant project guidance first, such as `AGENTS.md`, `README.md`, roadmap/ledger files, and local docs that define workflows or validation expectations.

2. Build the memory/session path first.
   Resolve the memory base as `$CODEX_HOME` when set, otherwise default to `~/.codex`.
   Use these locations:
   - memory index: `$CODEX_HOME/memories/MEMORY.md` or `~/.codex/memories/MEMORY.md`
   - rollout summaries: `$CODEX_HOME/memories/rollout_summaries/`
   - raw sessions: `$CODEX_HOME/sessions/` or `~/.codex/sessions/`

3. Read project past sessions in this order.
   If the runtime prompt already includes a memory summary, start there.
   Then search `MEMORY.md` for:
   - repo name
   - repo basename
   - current `cwd`
   - important module or file names
   Open only the 1-3 most relevant rollout summaries first.
   Fall back to raw session JSONL only when the summaries are missing the exact evidence you need.

4. Scan existing project-local skills before suggesting anything new.
   Check these locations relative to the current repo root:
   - `.agents/skills`
   - `.codex/skills`
   - `skills`
   Read both `SKILL.md` and `agents/openai.yaml` when present.

5. Compare project-local skills against recurring work.
   Look for repeated patterns in past sessions:
   - repeated validation sequences
   - repeated failure shields
   - recurring ownership boundaries
   - repeated root-cause categories
   - workflows that repeatedly require the same repo-specific context
   If the pattern appears repeatedly and is not already well captured, it is a candidate skill.

6. Separate `new skill` from `update existing skill`.
   Recommend an update when an existing skill is already the right bucket but has stale triggers, missing guardrails, outdated paths, weak validation instructions, or incomplete scope.
   Recommend a new skill only when the workflow is distinct enough that stretching an existing skill would make it vague or confusing.
```
END THIRD-PARTY FILE 13434995df850302

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