ai-qa-review SKILL.md skillA

ai-qa-review from petrkindlmann/qa-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add petrkindlmann/qa-skills/ai-qa-review@v2.0

Pins v2.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
petrkindlmann/qa-skills
Path
skills/ai-qa-review/SKILL.md
Versions recorded
5
Latest version
v2.0, committed Jun 10, 2026
First version recorded
Mar 30, 2026
Size
21,898 bytes
Repository stars
198
License
MIT

Review EXISTING test code for quality, smells, and testability issues. Detects test smells across six dimensions — readability, reliability, diagnostic value, design, AI-generated, and coverage — analyzes testability of application code, and backs the qualitative smells with mutation testing. Use when: "review my tests," "test quality audit," "test smells," "testability analysis," "are these tests any good." Not for: generating new tests — use `ai-test-generation`. Not for: testing AI features…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

<objective>
QA-focused code review that detects test smells, analyzes testability of application code, and identifies coverage gaps. A test that asserts `toBe(true)` and a 95%-coverage suite that only feeds happy-path input both look green and both hide bugs — this skill names the smell, cites the line, and converts "looks fine" into a mutation-score gate.

**Before starting:** Check for `.agents/qa-project-context.md` in the project root. It contains test framework conventions, naming patterns, and project-specific quality standards that calibrate review feedback.
</objective>

---

## Quick Route

Three distinct entry paths. Pick the row, then jump to the named section.

| Situation | Path | Jump to |
|-----------|------|---------|
| PR with changed test files | Run the changed files, score them, check the diff against the PR checklist | **Verification** → **PR Review Checklist** |
| Whole suite needs a health pass | Quantify, sample, find the 3-5 systemic smells, propose lint/mutation gates | **Batch Audit Process** |
| Application code, "why is this hard to test?" | Flag DI / side-effect / pure-function / interface problems with before/after | **Testability Analysis** |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add petrkindlmann/qa-skills/ai-qa-review@sha256:07a40a415272e346

The line at the top of this page pins the label v2.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_4l5a7eq2orag7jwz.svg)](https://markdownregistry.com/a/art_4l5a7eq2orag7jwz)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Mar 30, 2026 and Jun 10, 2026, about one every 18 days.

versioncommittedcommitsizeaudit
v2.0 latest2026-06-10 bcd1201 21,898 BA view · diff
v1.02026-05-30 d9b4edd 16,621 BA view · diff
v1.02026-05-21 c7fb325 22,433 BA view · diff
v1.02026-05-10 dcdf02c 22,281 BA view · diff
v1.02026-03-30 59713a4 20,640 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (21898 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

petrkindlmann/qa-skills · 198 stars · license MIT · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4l5a7eq2orag7jwz
GET https://markdownregistry.com/api/v1/resolve?ref=petrkindlmann/qa-skills/ai-qa-review
GET https://markdownregistry.com/api/v1/blob/07a40a415272e346b6120ec867054bced297276029e725a793efb80180af7782

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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