SKILLEMALL.ai
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BC doc-publisher

文档系列发布工具 - 将本地 Markdown 文档自动转换为微信公众号文章并发布

ClawHub Agent Skills author: 403914291 v1.0.0 MIT-0 42 files body ≈ 1 154 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype 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
80/100
safety, quality, tests
Safety 60%
94
Quality 40%
59
Run on models
none yet
Process rating
C
51/100
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Exfiltration read-dotenv examples/publish-any.js:19
    Reads a .env file (test fixture / example file; quoted — discussed, not commanded)
    console.log('   2. 复制配置模板：copy .env.example .env');
    fixturequoted
  • low Exfiltration read-dotenv readme.md:21
    Reads a .env file
    copy .env.example .env
  • low Secrets in code secret-high-entropy-token scripts/supplement-doc.py:157
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    model = SentenceTransformer('para…-v2')
    quoted
  • low Exfiltration exfil-secret-in-url scripts/upload-cover.js:13
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    const req = https.get(`https://api.weixin.qq.com/cgi-bin/token?grant_type=…&appid=…&secret=… res => {
    placeholder
  • low Exfiltration read-dotenv skill.md:13
    Reads a .env file
    copy .env.example .env
  • low Exfiltration read-dotenv skill.md:188
    Reads a .env file
    copy .env.example .env

Files scanned: 42. 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 "postInstall"

Process rating: all ten parameters 51/100

  • 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
  • 30Running it twice. 6 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 47 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1154 tokens
  • low 14 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)
  • +3Description length 41: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -229 emoji in the instructions: noise for the model
  • -38 of 8 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 47 items
  • +4Has examples (13 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: suspicious
This skill is a real WeChat document-publishing tool, but it includes unguarded draft-deletion scripts and unsafe credential handling that users should review before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026