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BF voice-tts

语音输入（Whisper ASR）+ 语音输出（Edge TTS）技能，支持 agent 专属音色，可调用 send_voice_reply.mjs 发送 Telegram 语音消息。

ClawHub Agent Skills author: believe3344 v2.0.1 MIT-0 12 files · 2 scripts body ≈ 1 290 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: scripts/edge_tts, scripts/whisper

ReferenceTelegramInfrastructureAI 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
B
81/100
safety, quality, tests
Safety 60%
94
Quality 40%
61
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: scripts/edge_tts, scripts/whisper
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Dangerous commands cmd-install-from-url install.sh:49
    Installs a package from an untrusted URL / archive (string literal in code, not executed)
    PIP_CMD="pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple edge-tts whisper click"
    code literal
  • low Exfiltration exfil-webhook-url scripts/send_voice_reply.mjs:80
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    const apiUrl = `https://api.telegram.org/bot${botToken}/sendVoice`;
    placeholder

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/edge_tts
  • warning missing-ref reference to a missing file: scripts/whisper

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: scripts/edge_tts, scripts/whisper
  • 0Tools and files. 2 referenced file(s) missing: scripts/edge_tts, scripts/whisper
  • 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
  • 100Steps. 9 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1290 tokens
  • low 10 top-level sections: this looks like several domains in one skill

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 92: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (11 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: suspicious
This voice skill mostly matches its ASR/TTS purpose, but it needs review because it automatically moves/deletes voice files, reads Telegram credentials, evaluates local config as code, and turns transcripts into agent-directing instructions.
LLM: suspicious (high) · VirusTotal: · 29 May 2026