AC qa-ai-output-critique
对AI生成的测试用例进行八维评审（完整性、正确性、可执行性、风险覆盖、规范性、一致性、追溯性、冗余度），是AI生成用例后的第一个质量门禁。当AI刚刚生成了一大批测试用例、你需要确保这些用例真的有价值而不是"看起来不错"时，应当使用此技能。不要假设AI输出的都是对的——AI经常生成语义正确但实际操作不了的用例。每个维度评分低于7分的必须标注问题并使用MISSING/WRONG/VAGUE等规范格式标记。无上游场景树/风险清单时降级为六维评审（跳过追溯性、简化完整性）。 触发场景：检查一下输出、评审用例质量、验证完整性、这个用例对吗、自动检查时。 Use when the user asks about: critiquing AI-generated test cases across completeness, correctness, executability, risk coverage, conformance, consistency, traceability, and redundancy.
对AI生成的测试用例进行八维评审（完整性、正确性、可执行性、风险覆盖、规范性、一致性、追溯性、冗余度），是AI生成用例后的第一个质量门禁。当AI刚刚生成了一大批测试用例、你需要确保这些用例真的有价值而不是"看起来不错"时，应当使用此技能。不要假设AI输出的都是对的——AI经常生成语义正确但实际操作不了的用例。每个维度…
As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 59/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 8 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 683 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +3Description length 459: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 8 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.