SKILLEMALL.ai

BD voice-output

Use when Tony says voice reply or asks to speak. Speaks the response aloud via Doubao TTS to MOMAX BS6.

ClawHub Agent Skills author: OlddirtybikerTony v1.0.1 MIT-0 5 files body ≈ 166 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
97
Quality 40%
76
Run on models
none yet
Process rating
D
46/100
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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Secrets in code secret-labelled-token scripts/voice_speak.py:23
      Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)
      ACCESS_TOKEN = "gSlk…rbw"
      placeholder
    • low Secrets in code secret-high-entropy-token scripts/voice_speak.py:23
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      ACCESS_TOKEN = "gSlk…rbw"
      quoted
    • low Secrets in code secret-password-literal scripts/voice_speak.py:23
      Hard-coded password / key literal (may be an example) (placeholder value)
      ACCESS_TOKEN = "gSlk…rbw"
      placeholder

    Files scanned: 5. 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 46/100

    • 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
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 13 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 166 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
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 103: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 13 items
    • +4Has examples (1 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

    External checks

    ClawHub: suspicious
    This voice-output skill appears to perform its stated TTS function, but it sends response text to ByteDance/Doubao using a bundled access token and can trigger too broadly.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026