ai-qa-review
把定性评审与变异测试结合，帮助团队识别假阳性和可测性问题。
通常需访问代码仓库与测试运行权限
审查现有测试代码，识别可读性/可靠性/诊断性等测试异味并结合变异测试量化质量。
检查现有测试代码的质量和“测试异味”，会从可读性、可靠性、诊断价值、设计、AI 生成痕迹和覆盖六个维度指出问题。还会评估被测代码的可测性，并用 mutation testing（变异测试）把定性问题量化成能看的分数或门槛。适合你说“帮我审查测试”“做测试质量审计”时用，不负责生成新测试用例。
▸ 展开 SKILL.md 英文原文
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 in your product — use `ai-system-testing`. Related: unit-testing, shift-left-testing, coverage-analysis, ai-test-generation.
帮我安装这个 skill：https://raw.githubusercontent.com/petrkindlmann/qa-skills/main/skills/ai-qa-review/SKILL.mdcurl -fsSL "https://raw.githubusercontent.com/petrkindlmann/qa-skills/main/skills/ai-qa-review/SKILL.md"<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