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LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 25 files body ≈ 397 tokens Open the sourcegithub.com↗ analyzed 2 d ago

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

GeneratorWriting and documentstype 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%
92
Quality 40%
72
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
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 · 8

✓ No critical or high findings

Medium and low: 8
  • low Exfiltration net-credential-use inspect_meta.js:8
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file; the skill's own vendor host)
    const tablesRes = await fetch(`https://open.feishu.cn/open-apis/bitable/v1/apps/${appToken}/tables`, {
    fixturevendor-host
  • low Exfiltration net-credential-use inspect_meta.js:22
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file; the skill's own vendor host)
    const fieldsRes = await fetch(`https://open.feishu.cn/open-apis/bitable/v1/apps/${appToken}/tables/${table.table_id}/fields`, {
    fixturevendor-host
  • low Exfiltration exfil-secret-in-url lib/wiki.js:7
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    const url = `https://open.feishu.cn/open-apis/wiki/v2/spaces/get_node?token=…
    placeholder
  • low Secrets in code secret-high-entropy-token package-lock.json:17
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…bR6+k7Fi…rEB/8rLw…bbj/Mp8TWH/v1O+p487m6xskxw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:32
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha512-j+gKEx…ahh+s1F2HZ+wAce…RkU++ZWQr…uoQ==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:78
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…rvP+yUUf…4tH/iSSo…tEA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:96
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…vPe+zGay…l5w==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:105
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…9dM/mwVgvbZJaSNaRk+bshk…Kbz+IoId…W0Q==",
    detector

Files scanned: 25. 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 51/100

  • 0Result and completion. Does not say what the result is
  • 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. 10 mutating operations with no state check
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 13 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 397 tokens

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 149: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.