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BF hekouwang-env-doctor-skill

会勇禾口王 · 开发环境体检器（第三把 doctor）。扫描 Mac/Linux 上被开发工具占掉的磁盘空间，把每个目录判定成「数据 / 缓存 / 残留」三类，重点识别**你已经换掉但从没卸干净的旧工具**（如还留着 nvm 却早就在用 fnm），逐条给出判定依据、官方清理命令与代价。配交互式清理选择器（空格勾选、数据类锁死勾不上、确认后才执行、支持 --dry-run），删什么由你逐项勾。触发：用户说「磁盘满了 / 硬盘不够了 / 清理缓存 / 电脑越用越满 / 开发环境体检 / 查查什么占空间 / env-doctor / 环境体检 / disk doctor / 我的 Mac 空间去哪了 / node_modules 太大 / 缓存清理 / 残留清理 / 换过 nvm 想清干净」。任何「查/清 本机磁盘被开发工具占用」的请求都应触发。

ClawHub Agent Skills author: 会勇禾口王的AI笔记 v1.2.2 MIT-0 13 files body ≈ 605 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

会勇禾口王 · 开发环境体检器（第三把 doctor）。扫描 Mac/Linux 上被开发工具占掉的磁盘空间，把每个目录判定成「数据 / 缓存 / 残留」三类，重点识别你已经换掉但从没卸干净的旧工具（如还留着 nvm 却早就在用…

As a process F 35/100 · Will not run — References files that are not bundled: scripts/clean.sh, scripts/scan.sh

ProcedureAI and agentsData and analyticstype 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
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
65
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/clean.sh, scripts/scan.sh
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

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.
  2. 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
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash Read

Files scanned: 0. 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")
  • warning missing-ref reference to a missing file: scripts/clean.sh
  • warning missing-ref reference to a missing file: scripts/scan.sh
  • 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 35/100

Will not run. References files that are not bundled: scripts/clean.sh, scripts/scan.sh
  • 0Tools and files. 2 referenced file(s) missing: scripts/clean.sh, scripts/scan.sh
  • 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
  • 100Steps. 13 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 605 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

  • +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
  • +2Single-language instructions
  • +3Description length 375: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: clean
This skill is a disclosed development-environment disk scanner and interactive cleaner with user confirmation controls, not hidden or automatic cleanup behavior.
LLM: benign (high) · VirusTotal: · 12 Aug 2026