SKILLEMALL.ai

AC requirement-analyzer

对原始产品需求输入进行分析、补充和结构化,输出可直接用于评审或进入 PRD 阶段的需求分析文档。适用于产品经理、业务方或需求发起人提供背景描述、痛点、会议纪要、口头想法等模糊输入时,需要快速得到包含"产品功能逻辑"、"验收指标"和"需求规模"的结构化分析结果。当用户说"帮我分析一下这个需求"、"这个需求合理吗"、"帮我梳理功能逻辑"、"这个需求大概多大"、"帮我整理一下验收标准"时,应主动触发此 skill。即使用户没有明确说"需求分析",只要输入包含业务背景、痛点描述或功能想法,也应触发。

ClawHub Agent Skills author: Pixelyes v1.0.2 MIT-0 2 files body ≈ 840 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
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: 2. 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")

Process rating: all ten parameters 61/100

  • 0Result and completion. Does not say what the result is
  • 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
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 45 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 840 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 6 example trigger phrases
  • +3Description length 248: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 45 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This skill is an instruction-only requirements-analysis helper with broad activation wording but no code execution, credential access, persistence, or hidden data movement.
LLM: benign (high) · VirusTotal: · 29 May 2026