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BD code-to-diagram

分析源代码逻辑，生成 Mermaid 流程图或 SVG 架构图并渲染为 PNG 图片。官方 mermaid 渲染（与 Markdown 预览一致），支持 16 种主题、5 种视觉风格、语义图形体系和 40+ 产品图标。

ClawHub Agent Skills author: Zhou Chang v3.0.0 MIT-0 18 files · 1 script body ≈ 3 122 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentInfrastructuretype 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
87/100
safety, quality, tests
Safety 60%
99
Quality 40%
70
Run on models
none yet
Process rating
D
43/100
Unfinished process
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-privilege scripts/code_to_diagram.js:326
    Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
    const cfg = { args: ['--no-sandbox', '--disable-setuid-sandbox'] }
    detectorcode literal

Files scanned: 18. 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 "bindShells"

Process rating: all ten parameters 43/100

  • 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. 2 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
  • 100Steps. 77 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3122 tokens
  • low 11 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 tags): a typed call is more reliable

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 109: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -33 of 4 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 77 items
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (7 of 8)
  • +1License stated

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

External checks

ClawHub: suspicious
This is a coherent diagram-generation skill, but it can automatically run an unpinned npx renderer and delete Mermaid input files, so it should be reviewed before installation.
LLM: suspicious (high) · VirusTotal: · 23 Jul 2026