SKILLEMALL.ai

BF document-to-mindmap

帮你快速阅读文档、资料、图片、书籍并拆解提炼总结成思维导图的智能工具,由ProcessOn官方研制。 它可以将自然语言、Markdown、长文本、PDF/Word文档、网页内容、图片文字、学习资料、会议纪要、工作报告、书籍文献等内容,一键拆解、提炼和总结为结构清晰、层级分明、可编辑的 ProcessOn 专业思维导图。 适用于总结文档、整理资料、提炼重点、拆解长文、生成思维导图、把文章变成脑图、把PDF整理成脑图、总结会议纪要、提炼工作报告、梳理论文文献、制作读书笔记、整理学习资料、生成学习路径、拆解方案大纲、规划项目任务等场景。主要解决“内容太长看不完、资料太散不好整理、重点不清不好提炼、结构混乱不好复用”的问题。 支持输出思维导图、逻辑图、树形图、鱼骨图、时间轴、表格图等知识整理类图形,生成后可在 ProcessOn 中在线编辑、协作修改、高效复用。 注意:本技能不用于生成流程图、泳道图、时序图、系统架构图、ER图、Mermaid图等流程或技术图表。如需自动画流程图、业务流程、系统架构、数据库关系图,请使用 ProcessOn 图表生成类技能。

ClawHub Agent Skills author: ying zhang @po v1.1.10 MIT-0 7 files body ≈ 2 052 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 33/100 · Will not run — References files that are not bundled: url

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: url
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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 · 0

✓ No critical or high findings

Files scanned: 7. 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")
  • warning missing-ref reference to a missing file: url

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: url
  • 0Tools and files. 1 referenced file(s) missing: url
  • 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. 1 mutating operations with no state check
  • 100Steps. 59 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2052 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 481: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 59 items
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
The skill performs the advertised ProcessOn mind-map conversion, but it also adds runtime update, document upload, tracking, and cleanup behaviors that users should review before installing.
LLM: suspicious (high) · 28 May 2026