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AD drawio-generator

将自然语言或文档（docx/pdf/txt）转换为 draw.io 可编辑 XML 图表（.drawio 文件）。当用户说"画个流程图"、"生成图表"、"画架构图/时序图/网络拓扑图"、"帮我画xxx流程"、"生成draw.io"等时自动触发。使用流程：接收描述→生成JSON→用户确认→调用gen.py生成.drawio→告知用户用draw.io打开。

ClawHub Agent Skills author: Owen v1.0.2 MIT-0 12 files · 1 script body ≈ 477 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorWordInfrastructuretype 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
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
D
39/100
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 · 0

✓ No critical or high findings

Files scanned: 12. 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")

Process rating: all ten parameters 39/100

  • 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. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (drawio-generator) differs from the folder (drawio-ai-maker)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 4 steps
  • 100Execution cost. Instruction body is 477 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -36 of 9 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 177: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 4 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
This diagram-generation skill appears purpose-aligned, but it can write files outside a clearly bounded workspace and its documented confirmation step does not appear to be enforced consistently.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026