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BF excalidraw-diagram-generator

Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.

ClawHub Agent Skills author: Morpheous v1.0.0 4 files body ≈ 5 813 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 60/100 · Will not run — References files that are not bundled: templates/flowchart-template.json, templates/relationship-template.json, templates/mindmap-template.json

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
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
F
60/100
Will not run
References files that are not bundled: templates/flowchart-template.json, templates/relationship-template.json, templates/mindmap-template.json
Tools and files w 18
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5813 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: templates/flowchart-template.json
  • warning missing-ref reference to a missing file: templates/relationship-template.json
  • warning missing-ref reference to a missing file: templates/mindmap-template.json
  • warning missing-ref reference to a missing file: scripts/split-excalidraw-library.py
  • warning missing-ref reference to a missing file: scripts/README.md
  • warning missing-ref reference to a missing file: scripts/.gitignore

Process rating: all ten parameters 60/100

Will not run. References files that are not bundled: templates/flowchart-template.json, templates/relationship-template.json, templates/mindmap-template.json
  • 0Tools and files. 6 referenced file(s) missing: templates/flowchart-template.json, templates/relationship-template.json, templates/mindmap-template.json
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5813 tokens
  • 100Steps. 200 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 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

  • +4Description does not say when NOT to use the skill (false activations)
  • -223 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 393: enough signal without eating the budget
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 200 items
  • +3Output format is stated explicitly
  • +4Has examples (22 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill is a diagram-generation helper with some optional local file/script workflows, but the reviewed artifacts do not show hidden data access, credentials use, persistence, or destructive behavior.
LLM: benign (medium) · VirusTotal: suspicious · 28 May 2026