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BC hekouwang-claude-md-doctor-skill

会勇禾口王的AI笔记 · Agent 运行时配置体检器。检查项目的 AGENTS.md（跨 Agent 推荐） 或 CLAUDE.md（及子目录本地配置）是否符合"把它当运行时配置、不是项目说明书"的最佳实践， 给出评分卡 + 按优先级的修复建议，并可代为修复。触发：用户说「检查我的 CLAUDE.md / AGENTS.md / 运行时配置体检 / claude-md-doctor / agents.md 规范吗 / audit CLAUDE.md / lint AGENTS.md / 看看我的 agent 配置合不合规」。 任何"评估/审查/优化某个项目 AGENTS.md 或 CLAUDE.md 质量"的请求都应触发。

ClawHub Agent Skills author: 会勇禾口王的AI笔记 v1.3.2 MIT-0 22 files · 1 script body ≈ 1 856 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

会勇禾口王的AI笔记 · Agent 运行时配置体检器。检查项目的 AGENTS.md（跨 Agent 推荐） 或 CLAUDE.md（及子目录本地配置）是否符合"把它当运行时配置、不是项目说明书"的最佳实践， 给出评分卡 + 按优先级的修复建议，并可代为修复。触发：用户说「检查我的 CLAUDE.md /…

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

AnalyzerAI and agentstype 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
84/100
safety, quality, tests
Safety 60%
95
Quality 40%
68
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash Read Write Edit Glob Grep AskUserQuestion

Files scanned: 5. 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 "summary"
  • note frontmatter-key unknown frontmatter key "homepage"

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. 53 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1856 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
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 316: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 53 items
  • +4Has examples (2 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
The skill is a disclosed AGENTS.md/CLAUDE.md checker that reads project configuration files, reports issues, and only edits after user approval.
LLM: benign (high) · VirusTotal: · 12 Aug 2026