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AD excalidraw-diagram

Generate Excalidraw hand-drawn diagrams from natural language. Use when asked to create diagrams, flowcharts, mind maps, architecture diagrams, ER diagrams, or sequence diagrams. Outputs .excalidraw JSON files. Triggers: draw diagram, create flowchart, visualize, architecture diagram, excalidraw.

ClawHub Agent Skills author: mcdowelll v1.1.0 MIT-0 8 files body ≈ 1 024 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

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

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
A
96/100
safety, quality, tests
Safety 60%
99
Quality 40%
92
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

    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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Dangerous commands cmd-privilege scripts/export-png.py:126
      Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
      args=['--no-sandbox', '--disable-setuid-sandbox']
      detectorcode literal

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    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. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (excalidraw-diagram) differs from the folder (oc-excalidraw-diagram)
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 31 steps
    • 100Execution cost. Instruction body is 1024 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
    • +2Single-language instructions
    • +3Description length 297: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 31 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    The skill appears to generate Excalidraw diagram files as advertised, with a purpose-aligned PNG export path that uses network-loaded rendering code and should be treated carefully for sensitive diagrams.
    LLM: benign (medium) · VirusTotal: · 29 May 2026