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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.

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 5 965 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Generate Excalidraw diagrams from natural language descriptions.

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

GeneratorAWSGoogle CloudInfrastructuretype 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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5965 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 5965 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.