SKILLEMALL.ai

AC pm-requirement-review-sandbox

面向产品经理和产品协作者的产品需求评审沙盘工作流。适用于澄清模糊需求、分析业务问题、共创产品需求文档、准备需求评审材料、模拟研发/设计/数据/运营/合规/业务负责人/用户等多角色质询、收敛一期范围、梳理指标、流程、边界、风险、依赖和兜底方案。支持 Markdown、PDF、飞书文档三种交付形态,默认交付 PDF。不用于普通文案写作,除非任务明确涉及产品需求、产品方案、产品需求文档或需求评审。

ClawHub Agent Skills author: Vash v1.0.0 MIT-0 4 files body ≈ 1 048 tokens Open the sourceclawhub.ai analyzed 2 d ago

面向产品经理和产品协作者的产品需求评审沙盘工作流。适用于澄清模糊需求、分析业务问题、共创产品需求文档、准备需求评审材料、模拟研发/设计/数据/运营/合规/业务负责人/用户等多角色质询、收敛一期范围、梳理指标、流程、边界、风险、依赖和兜底方案。支持 Markdown、PDF、飞书文档三种交付形态,默认交付…

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

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
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")

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. No external tools needed
  • 100Steps. 30 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1048 tokens
  • 100Running it twice. No mutating operations
  • low 11 top-level sections: this looks like several domains in one skill

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 197: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (1 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a product-requirement review helper with a disclosed local PDF renderer and no evidence of hidden data access, persistence, exfiltration, or destructive behavior.
LLM: benign (high) · VirusTotal: · 28 May 2026