BC qa-output-validation
在最终输出前对测试用例做最后一轮防幻觉验证：事实核查（引用的需求ID是否存在）、一致性检查（用例之间是否矛盾）、可执行性验证（步骤是否能实际操作）、来源追溯（每个用例是否能追溯到具体需求）。当测试用例已经生成完毕、准备输出了，但你不确定AI有没有编造不存在的功能或需求时，应当使用此技能。这是整个工作流的最终质量守门——如果验证失败，必须返回问题清单要求修正，不得跳过。 本技能属于 QA Test Skills 技能集（49 个技能之一），完整工作流体验需安装全套：npx skills add Kokxi/qa-test-skills
在最终输出前对测试用例做最后一轮防幻觉验证：事实核查（引用的需求ID是否存在）、一致性检查（用例之间是否矛盾）、可执行性验证（步骤是否能实际操作）、来源追溯（每个用例是否能追溯到具体需求）。当测试用例已经生成完毕、准备输出了，但你不确定AI有没有编造不存在的功能或需求时，应当使用此技能。这是整个工作流的最终质量守门—…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 1. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "related_skills" - note
frontmatter-keyunknown frontmatter key "input_format" - note
frontmatter-keyunknown frontmatter key "output_format" - note
frontmatter-keyunknown frontmatter key "error_recovery_guidance" - note
frontmatter-keyunknown frontmatter key "categories" - note
frontmatter-keyunknown frontmatter key "depth_requirement_quantification"
Process rating: all ten parameters 53/100
- 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
- 20When it triggers. No condition that starts the skill
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 6 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1089 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
- +1No license
- +2Single-language instructions
- +3Description length 269: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 6 items
- +4Has examples (8 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.