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AB Voice Care Speaking Day Plan

Builds a general, non-medical speaking-day routine for hydration, pacing, warmups, breaks, and recovery, with clear escalation for pain, voice loss, breathing issues, or persistent symptoms.

ClawHub Agent Skills author: haidong v1.0.1 MIT-0 3 files body ≈ 1 529 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process B 76/100 · Nearly there — weak spots: consistency, running it twice

GeneratorAI 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%
100
Quality 40%
81
Run on models
none yet
Process rating
B
76/100
Nearly there
Running it twice w 4
30
Consistency w 8
40
Result and completion w 14
60
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 · 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 name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "type"

    Process rating: all ten parameters 76/100

    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (Voice Care Speaking Day Plan) differs from the folder (voice-care-speaking-day-plan)
    • 60Result and completion. Output format stated, no completion criterion
    • 65Failures and branches. 3 branches
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 71 steps
    • 100Execution cost. Instruction body is 1529 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 190: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 71 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This is a prompt-only wellness planning skill with clear non-medical limits and no code, credentials, network access, or persistence.
    LLM: benign (high) · 12 May 2026