AD 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、XMind，并自动输出结构质检报告。Generate cognitive-science-grounded interactive mind maps from Markdown outlines or JSON; one command exports HTML/PNG/JPG/SVG/PDF/XMind with dark & light themes and a built-in structure quality report. 当用户提到"思维导图 / 脑图 / mind map"、要求把文章、笔记、会议纪要、学习内容"梳理成结构 / 可视化"、或要求导出 XMind/PNG/PDF 结构图时，务必使用本技能 —— 即使用户没有明确说出"思维导图"三个字。
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、XMind，并自动输出结构质检报告。Generate cognitive-science-grounded interactive…
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 0
✓ No critical or high findings
Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (mindmap) differs from the folder (generate-mindmap)
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 13 steps
- 100Execution cost. Instruction body is 973 tokens
- 100Running it twice. No mutating operations
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
- +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
- +5Description quotes 2 example trigger phrases
- +3Description length 430: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.