# Md Audit

> Read-only code quality audit — scan the current working directory for common issues (bugs, dead code, security hotspots, missing error handling) and return a prioritised findings report. No files are edited. Use when asked to "audit the code", "quick audit", "find issues", "code scan", or "what's wrong with this codebase". (munder-difflin)

- Skill: `chaitanyagiri/md-audit` (Agent Skill)
- Install (CLI): `npx skillmds@latest add chaitanyagiri/md-audit`
- Raw SKILL.md: https://api.skillmd.com/api/skills/chaitanyagiri/md-audit/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Security
- Author: chaitanyagiri (https://skillmd.com/u/chaitanyagiri)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/chaitanyagiri/md-audit

---


## Code Audit (read-only)

Perform a read-only code quality scan and return a findings report. Do NOT edit any files.

Steps:
1. **Scope** — identify the primary language and entry points (`package.json`, `Cargo.toml`, `go.mod`, `pyproject.toml`, or similar).
2. **Scan** — use `Grep` and `Read` to look for:
   - Unhandled promise rejections / ignored errors
   - Hard-coded secrets or credentials (keys, tokens, passwords)
   - `TODO`/`FIXME`/`HACK` comments that signal known debt
   - Dead exports (exported symbols with no in-repo import)
   - Obvious type-safety gaps (unchecked `any`, missing null guards)
3. **Report** — output a findings list sorted by severity (Critical → High → Medium → Low):
   ```
   ## Audit Report — <project name>

   ### Critical
   - [file:line] <description>

   ### High
   - ...

   ### Summary
   <total count> findings across <file count> files scanned.
   ```
4. Stop after reporting. Do not apply any fixes.

