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AD wavedrom-gen

Generate, revise, validate, and render official WaveDrom diagrams from natural-language timing descriptions, protocol requirements, timing tables, or existing WaveJSON/JSON5. Use for clocks, digital waveforms, buses, SPI, QSPI, I2C, UART, AXI valid/ready, request/acknowledge, GPIO, PWM, reset sequences, sub-cycle timing, WaveDrom arrows, titles, skins, register or logic diagrams, and optional Datasheet-grade setup/hold/width/period dimensions. Deliver editable JSON5 plus SVG, PNG, or self-contained offline HTML through bundled MCP tools when available and local scripts otherwise. Do not use for analog waveforms, software sequence diagrams, generic flowcharts, or continuous-time signal analysis.

ClawHub Agent Skills author: siliconpeasant v0.3.1 MIT-0 19 files body ≈ 1 431 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Generate, revise, validate, and render official WaveDrom diagrams from natural-language timing descriptions, protocol requirements, timing tables, or existing…

As a process D 48/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerAI and agentstype 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
92/100
safety, quality, tests
Safety 60%
94
Quality 40%
90
Run on models
none yet
Process rating
D
48/100
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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • low Secrets in code secret-high-entropy-token package-lock.json:144
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…b4f+kvdO…EKg==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:201
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha512-7C/RSgCa+7vqZ…RgY+S+hgS3…8q6/nOAuTJQxeQ==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:382
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…oyg+GOH3rYX++Kpzr…3Nk+U8XO…syg==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:469
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…CML+j3TI…Mvv/A+3ek9…TbN+iw==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:503
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…c4p+Q21c…1pl+NfxV…tyt/Fi7D16Q==",
      detector
    • low Concealment en-hide-from-user SKILL.md:47
      Instruction to hide actions from the user (negated — the text forbids it)
      Add `--png <output.png>` or `--html <output.html>` as needed. The renderer uses the same pinned official engine and all shipped skins for SVG and offline HTML. It post-processes `datasheet.annotations
      negated

    Files scanned: 19. 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 48/100

    • 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
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 85Steps. 30 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1431 tokens
    • 100Running it twice. No mutating operations

    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
    • +3Output format is not stated: the model decides each time
    • -33 of 5 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 703: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 30 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (5 of 6)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This skill coherently generates and renders WaveDrom timing diagrams, with local file output and optional MCP registration that are disclosed and purpose-aligned.
    LLM: benign (high) · VirusTotal: · 9 Aug 2026