SKILLEMALL.ai
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BF tts

Use this skill whenever the user wants to convert text into speech, generate audio from text, or produce voiceovers. Triggers include: any mention of 'TTS', 'text to speech', 'speak', 'say', 'voice', 'read aloud', 'audio narration', 'voiceover', 'dubbing', or requests to turn written content into spoken audio. Also use when converting EPUB/PDF/SRT/articles to audio, cloning voices from reference audio, controlling emotion or speed in speech, aligning speech to subtitle timelines, or producing per-segment voice-mapped audio.

ClawHub Agent Skills author: kusuriuri v1.0.3 MIT-0 8 files body ≈ 1 707 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 48/100 · Will not run — References files that are not bundled: reference.md

GeneratorSoftware developmentWriting and documentsMedia and videotype 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
87/100
safety, quality, tests
Safety 60%
96
Quality 40%
74
Run on models
none yet
Process rating
F
48/100
Will not run
References files that are not bundled: reference.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. 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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-labelled-token scripts/noiz_tts.py:206
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (detector / deny-list definition)
    args.api_key = norm…e64(args.api_key)
    detector
  • low Secrets in code secret-password-literal scripts/noiz_tts.py:206
    Hard-coded password / key literal (may be an example) (detector / deny-list definition)
    args.api_key = norm…e64(args.api_key)
    detector
  • low Secrets in code secret-labelled-token scripts/render_timeline.py:381
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (detector / deny-list definition)
    args.api_key = norm…e64(args.api_key)
    detector
  • low Secrets in code secret-password-literal scripts/render_timeline.py:381
    Hard-coded password / key literal (may be an example) (detector / deny-list definition)
    args.api_key = norm…e64(args.api_key)
    detector

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

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: reference.md
  • note frontmatter-key unknown frontmatter key "permissions"

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: reference.md
  • 0Tools and files. 1 referenced file(s) missing: reference.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 6 mutating operations with no state check
  • 40Consistency. Frontmatter name (tts) differs from the folder (noizai-tts)
  • 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
  • 100Steps. 14 steps
  • 100Execution cost. Instruction body is 1707 tokens
  • 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)
  • +3Output format is not stated: the model decides each time
  • -34 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 529: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (7 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
This text-to-speech skill is mostly coherent, but it deserves review because it can fetch arbitrary reference-audio URLs and upload text or voice samples to a cloud TTS service.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026