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AC skill-auditor

对已存在 Skill 做 8 维度全面体检（结构/安全/触发/有效性/竞争/平台/文档/代码质量）。说 技能审计/审计技能/技能体检 时触发。支持成熟度分级+4确认点+整改+回归审计。绝不自动发布。Do NOT use for creating skills or publishing to platforms.

ClawHub Agent Skills author: AI花生 v2.0.1 MIT-0 14 files body ≈ 1 586 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

对已存在 Skill 做 8 维度全面体检（结构/安全/触发/有效性/竞争/平台/文档/代码质量）。说 技能审计/审计技能/技能体检 时触发。支持成熟度分级+4确认点+整改+回归审计。绝不自动发布。Do NOT use for creating skills or publishing to platforms.

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerData and analyticsAI and agentsWriting 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
A
94/100
safety, quality, tests
Safety 60%
99
Quality 40%
86
Run on models
none yet
Process rating
C
52/100
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

    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 Exfiltration exfil-read-secret-files references/security-scan.md:88
      Reads credential / secret files (documentation table row; documentation of a security skill)
      | 读取敏感目录 | `cat ~/.ssh/id_rsa` | Critical |
      tablesecurity skill

    Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "displayName"
    • note frontmatter-key unknown frontmatter key "summary"

    Process rating: all ten parameters 52/100

    • 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
    • 40Consistency. Frontmatter name (skill-auditor) differs from the folder (skill-auditor-ai)
    • 50When it triggers. No condition that starts the skill
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 50 steps
    • 100Execution cost. Instruction body is 1586 tokens
    • 100Running it twice. No mutating operations
    • low 12 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
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 157: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 50 items
    • +4Reference files are cited in the instructions (8 of 9)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    The skill is a coherent audit helper that reads skill files, writes audit reports, and only edits target files after user confirmation.
    LLM: benign (high) · VirusTotal: · 16 Jul 2026