ai-generated-test-review

Installation
SKILL.md

AI-Generated Test 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

  1. Inventory test types and files actually present in scope: unit, functional test, API, E2E, or a combination. Review only discovered or user-specified types.
  2. Establish the behavior, risk, and available requirement or implementation evidence. Mark missing evidence; do not invent findings.
  3. Read prompts/review-test.md and report actionable findings by severity, tied to a test, risk, and repair direction.
  4. 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.
  5. Separate merge-blocking faults from improvements; do not call an effective test defective because of style preference.

Domain Execution Essentials

Installs
42
GitHub Stars
300
First Seen
Sep 4, 2026