SKILLEMALL.ai
GitHub ↗ RU Sign in

BF prd-review

PRD 内审 Skill，对齐《PRD 文档标准规范 v2.4》。支持从飞书文档自动读取内容，识别 A/B/C 类型，按分型检查清单逐项审核，输出评分+必填项校验+逻辑校验+补全建议的结构化评审报告。触发关键词：审核、审查、检查、评审、内审、review、帮我审、PRD。

ClawHub Agent Skills author: adahuhu v0.1.0 MIT-0 2 files body ≈ 4 962 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 29/100 · Will not run — References files that are not bundled: url, references/checklist.md, references/spec.md

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
99
Quality 40%
69
Run on models
none yet
Process rating
F
29/100
Will not run
References files that are not bundled: url, references/checklist.md, references/spec.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token SKILL.md:63
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    '-s', '6Aih…dUI',
    quoted

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: url
  • warning missing-ref reference to a missing file: references/checklist.md
  • warning missing-ref reference to a missing file: references/spec.md
  • warning missing-ref reference to a missing file: references/domain-knowledge.md
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 29/100

Will not run. References files that are not bundled: url, references/checklist.md, references/spec.md
  • 0Tools and files. 4 referenced file(s) missing: url, references/checklist.md, references/spec.md
  • 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
  • 40Consistency. Frontmatter name (prd-review) differs from the folder (prd-review-2)
  • 70Execution cost. Instruction body is 4962 tokens
  • 100Steps. 132 steps
  • 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
  • -236 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 136: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 132 items
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This PRD review skill has a coherent purpose, but it embeds Feishu app credentials and automatically stores/reuses review data in ways users should review before installing.
LLM: suspicious (high) · 28 May 2026