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BF excalidraw-handdraw

根据提示词生成手绘风格图表的 skill。用于：(1) 创建架构图、流程图、ER 图等 Excalidraw 手绘风格图表 (2) 通过 Docker 本地运行 canvas 服务器 (3) 生成 PNG/SVG 图片 (4) 保存图片到指定目录 (5) 将图表插入或替换到文件指定位置 (6) 支持中文手写字体。触发词：画图、创建图表、生成图表、手绘风格、架构图、流程图、Excalidraw、保存图表到文件、插入图表。

ClawHub Agent Skills author: ZhenYangze v0.1.2 MIT-0 2 files body ≈ 2 006 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 31/100 · Will not run — References files that are not bundled: docs/diagrams/architecture.png

ProcedureDockerInfrastructuretype 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
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: docs/diagrams/architecture.png
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: 2. 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: docs/diagrams/architecture.png

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: docs/diagrams/architecture.png
  • 0Tools and files. 1 referenced file(s) missing: docs/diagrams/architecture.png
  • 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 (excalidraw-handdraw) differs from the folder (excalidraw-handdraw-skill)
  • 100Steps. 48 steps
  • 100Execution cost. Instruction body is 2006 tokens
  • 100Running it twice. No mutating operations
  • low 13 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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 211: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 48 items
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This skill appears to be a local Excalidraw diagram generator with expected Docker and file-writing behavior, but users should confirm output paths before use.
LLM: benign (high) · VirusTotal: · 9 Jul 2026