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B generate-mindmap

生成基于认知科学方法论的交互式思维导图。支持 Markdown 大纲或 JSON 输入，一条命令同时导出 HTML（可交互编辑、8 种布局、深浅双主题）、PNG、JPG、SVG、PDF、XMin...。生成基于认知科学方法论的交互式思维导图。支持 Markdown 大纲或 JSON 输入，一条命令同时导出 HTML（可交互编辑、8 种布局、深浅双主题）、PNG、JPG、SVG、PDF、XMin。触发关键词: 生成基于认知, generate, xmin, 科学方法论的, html, 支持, mindmap, 大纲或。

ClawHub Agent Skills author: 天轰穿 v1.0.2 MIT-0 2 files body ≈ 1 270 tokens open source ↗ analyzed 28 h ago
GeneratorInfrastructuretype 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
B
88/100
Overall score
Safety 60%
100
Quality 40%
70
Tests bonus
0

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): it is the main trigger signal.
  2. Add evals/evals.json with 4–6 real requests and expected answers: the full check will then use your cases instead of a model draft.
  3. Add a spec.yaml with triggers and assertions (skilltest init): the behaviour contract for CI.

Guard findings · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Lint

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • 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 "tools"

Process maturity 53/100

  • 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
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1270 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
  • +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 261: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (3 code blocks)
  • +1License stated

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

External checks

ClawHub: clean
This skill is a disclosed mind-map generation guide, with some overly broad trigger wording and optional dependency installation that users should control.
LLM: benign (high) · VirusTotal: · 10 Aug 2026