AI-Generated Test Review
SkillDev toolsUse this skill when reviewing AI-generated unit, functional, API, or end-to-end tests for false confidence, weak assertions, missing risks, or unsafe test behavior; triggers include AI-generated test review and functional test review.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the AI-Generated Test Review skill
What this skill tells your AI
The instructions your AI receives, as published by naodeng/awesome-qa-skills in skills/en/testing-types/ai-generated-test-review/SKILL.md and read by ahel’s review.
Determine whether AI-generated tests prove real behavior instead of merely raising coverage or producing green builds.
When to Use
- Reviewing, changing, or accepting AI-generated unit, functional, API, or E2E tests.
- A test passes but its assertions, isolation, data, or coverage value is doubtful.
Workflow
- Inventory test types and files actually present in scope: unit, functional test, API, E2E, or a combination. Review only discovered or user-specified types.
- Establish the behavior, risk, and available requirement or implementation evidence. Mark missing evidence; do not invent findings.
- Read
prompts/review-test.mdand report actionable findings by severity, tied to a test, risk, and repair direction. - Load rules only for discovered layers: unit, functional test, API, or E2E. Load more than one only for cross-layer concerns; do not perform a global review just because multiple rule files exist.
- Separate merge-blocking faults from improvements; do not call an effective test defective because of style preference.
Core Constraints
- Judge observable behavior, failure signals, and risk coverage—not line coverage, test names, or mock-call counts alone.
- When a broken implementation could still pass, state the smallest break and the assertion needed to catch it.
- Never recommend deleting assertions, swallowing errors, loosening timeouts, or changing production behavior merely to obtain green tests.
- Do not expose credentials, personal data, or production write operations in tests, logs, or examples.
Progressive Disclosure
- Always read
prompts/review-test.mdbefore reviewing; its test-type routing precedes per-test review. - For fake tests, excessive mocks, or ineffective assertions, read
references/fake-test-patterns.md. - Read
references/unit-test-rules.md,references/functional-test-rules.md,references/api-test-rules.md, orreferences/e2e-test-rules.mdfor the applicable layer. - Read related material under
examples/good/orexamples/bad/when an example is useful.
Pre-delivery Checklist
- States scope, evidence, and open questions
- Ranks findings and includes location, impact, and repair direction
- Reviews real assertions, negative paths, boundaries, isolation, and repeatability
- Does not present speculation as fact
Signals
- GitHub stars
- 210
- Forks
- 29
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
ai-generated-test-review- Source
- github.com/naodeng/awesome-qa-skills