Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add xyva-yuangui/XyvaClaw --skill voicegit clone --depth 1 https://github.com/xyva-yuangui/XyvaClawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xyva-yuangui/xyvaclaw/voice)<a href="https://agentmods.dev/skills/xyva-yuangui/xyvaclaw/voice"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/voice/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xyva-yuangui/xyvaclaw/voice"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/voice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00056 | $0.00609 |
| Opus 5 | $0.00028 | $0.00304 |
| Sonnet 5 | $0.00011 | $0.00122 |
| Haiku 4.5 | $0.00006 | $0.00061 |
Grade A, and why
voice scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Voice — 语音对话
语音合成 (TTS) + 语音识别 (STT) 统一技能。
功能
TTS（文字转语音）
- 引擎：edge-tts（微软免费 TTS，200+ 语音）
- 输出格式：MP3 / WAV / OGG
- 支持语言：中文、英文、日文、韩文等 50+ 语言
STT（语音转文字）
- 方式 1：OpenAI Whisper API（需 API Key，速度快）
- 方式 2：本地 whisper.cpp（离线，需下载模型）
- 支持格式：MP3 / WAV / M4A / OGG / FLAC
使用方式
# 健康检查
python3 scripts/check.py
# TTS: 文字转语音
python3 scripts/voice_tool.py tts --text "你好，我是你的AI助手" --output hello.mp3
python3 scripts/voice_tool.py tts --text "Hello world" --voice en-US-AriaNeural --output hello.mp3
# TTS: 列出可用语音
python3 scripts/voice_tool.py tts-voices --lang zh
# STT: 语音转文字（Whisper API）
python3 scripts/voice_tool.py stt --input audio.mp3
python3 scripts/voice_tool.py stt --input audio.mp3 --lang zh
# STT: 语音转文字（本地 whisper.cpp）
python3 scripts/voice_tool.py stt --input audio.mp3 --engine local
配置
- TTS 无需配置，开箱即用
- STT Whisper API 需设置
OPENAI_API_KEY环境变量 - STT 本地模式需安装 whisper.cpp 并下载模型
输出目录
$OPENCLAW_HOME/workspace/output/audio/
依赖
- edge-tts (
pip3 install edge-tts) — 安装脚本已自动安装 - openai (
pip3 install openai) — STT API 模式可选
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 64 lines · 56 tokens per session scan A f3c386a9311a
voice is a skill published in the GitHub repository xyva-yuangui/XyvaClaw (21 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 609 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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