SKILLEMALL.ai

AC qa-requirement-review

从完整性、清晰性、一致性、可测试性、可实现性五个维度系统化评审需求文档质量。当用户要求"评审这份需求"、"看看这个PRD写得怎么样"、或者测试用例设计前需要先评估需求质量时,应当使用此技能。如果需求本身有问题(模糊/矛盾/不可测试),后续的测试设计都是徒劳。不要只在用户明确说"需求评审"时才用——任何涉及需求文档的测试任务都应先过一遍需求评审。 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

ClawHub Agent Skills author: kokxi v1.7.6 MIT-0 4 files body ≈ 486 tokens Open the sourceclawhub.ai analyzed 2 d ago

从完整性、清晰性、一致性、可测试性、可实现性五个维度系统化评审需求文档质量。当用户要求"评审这份需求"、"看看这个PRD写得怎么样"、或者测试用例设计前需要先评估需求质量时,应当使用此技能。如果需求本身有问题(模糊/矛盾/不可测试),后续的测试设计都是徒劳。不要只在用户明确说"需求评审"时才用——任何涉及需求文档的测…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "related_skills"
  • note frontmatter-key unknown frontmatter key "references"
  • note frontmatter-key unknown frontmatter key "input_format"
  • note frontmatter-key unknown frontmatter key "output_format"
  • note frontmatter-key unknown frontmatter key "error_recovery_guidance"
  • note frontmatter-key unknown frontmatter key "categories"
  • note frontmatter-key unknown 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. 11 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 486 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

  • +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
  • +5Description quotes 2 example trigger phrases
  • +3Description length 257: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This skill is a requirements-review checklist/template skill with no executable code, persistence, credential handling, or destructive behavior.
LLM: benign (high) · VirusTotal: · 1 Sept 2026