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在 OpenClaw 中安装
/install jarvis-tts
功能描述
Jarvis TTS text-to-speech using Microsoft edge-tts with afplay playback. Use when users request voice output, audio responses, or text-to-speech. Provides na...
使用说明 (SKILL.md)
Jarvis TTS 语音合成
功能
用 Microsoft edge-tts 生成高质量语音，然后用 macOS afplay 播放。提供自然流畅的中文语音输出。
使用场景
- AI 助手语音回复
- 文字转语音
- 有声读物播放
- 语音通知/提醒
优势
- ✅ 自然 - 微软 Neural TTS，接近真人声音
- ✅ 流畅 - 完整播放，不会中断
- ✅ 多音色 - 支持多种中文语音（男声/女声）
- ✅ 离线 - 生成后可重复播放
使用方法
基本用法
jarvis-tts.sh "要说的内容"
示例
# 简单回复
jarvis-tts.sh "好的，马上执行"
# 长文本
jarvis-tts.sh "从一数到一百：一、二、三...一百。数完了！"
# 指定语音
jarvis-tts.sh "你好" --voice zh-CN-YunxiNeural
可用语音
中文男声
zh-CN-YunxiNeural- 阳光活泼（默认）zh-CN-YunjianNeural- 激情运动风zh-CN-YunyangNeural- 专业新闻播报
中文女声
zh-CN-XiaoxiaoNeural- 温暖zh-CN-XiaoyiNeural- 活泼
工作流程
文字输入 → edge-tts 生成 MP3 → afplay 播放 → 完成
详细步骤
- 生成语音 - edge-tts 调用微软 TTS API 生成 MP3
- 检查文件 - 确认生成成功且文件大小正常
- 播放音频 - afplay 播放直到完成
- 清理 - 删除临时文件
脚本说明
jarvis-tts.py
Python 脚本，执行 TTS 生成和播放。
依赖：
- Python 3
- edge-tts (
pip3 install edge-tts)
用法：
python3 jarvis-tts.py "要说的内容"
jarvis-tts.sh
Shell 封装脚本，方便直接调用。
用法：
./jarvis-tts.sh "要说的内容"
技术细节
音频生成
python3 -m edge_tts \
--voice zh-CN-YunxiNeural \
--text "要说的内容" \
--write-media /tmp/output.mp3
播放保证
- 等待生成完成再播放
- 检查文件大小确保成功
- 同步播放直到完成
超时处理
- 生成超时：60 秒
- 播放超时：根据音频长度自动计算
限制
- 仅支持 macOS（依赖 afplay）
- 需要安装 edge-tts
- 需要网络连接（调用微软 API）
扩展建议
如需支持其他平台：
- Linux: 用
aplay或paplay替代afplay - Windows: 用
powershell -c (New-Object Media.SoundPlayer)播放
相关文件
scripts/jarvis-tts.py- 主脚本scripts/jarvis-tts.sh- Shell 封装
安全使用建议
This package is internally consistent with a macOS TTS helper. Before installing or using it: 1) confirm you are okay with sending the text you feed it to Microsoft’s TTS service (privacy concern); 2) install and vet the edge-tts pip package from PyPI (verify publisher/reviews) rather than running arbitrary installs; 3) note it requires macOS afplay (or modify for Linux/Windows); 4) run the scripts on non-sensitive text first and consider running in a sandbox if you have high security requirements. The included scripts are small and straightforward; no unexplained credential or file access was found.
功能分析
Type: OpenClaw Skill
Name: jarvis-tts
Version: 1.0.0
The OpenClaw AgentSkills bundle implements a text-to-speech utility using `edge-tts` and `afplay`. The `SKILL.md` file provides clear, benign instructions and documentation without any prompt injection attempts. The Python script `scripts/jarvis-tts.py` securely executes external commands (`edge_tts` and `afplay`) using `subprocess.run` with argument lists, preventing shell injection vulnerabilities. Temporary files are created and cleaned up properly. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or obfuscation.
能力评估
Purpose & Capability
Name/description, SKILL.md, and the two included scripts all describe generating TTS with edge-tts and playing via afplay. There are no unrelated env vars, binaries, or config paths requested; the requested functionality (macOS TTS) reasonably explains the included files and dependencies.
Instruction Scope
Instructions and scripts are narrowly scoped: take input text, run edge-tts to write an MP3 to a temp file, play it with afplay, then delete the temp file. They do not read other system files, environment variables, or send data to any endpoints other than the Microsoft TTS service invoked by edge-tts. No open-ended 'gather whatever context you need' behavior is present.
Install Mechanism
There is no install spec in the package (instruction-only install); the scripts rely on standard Python and a user-installed pip package (edge-tts). No downloads from untrusted URLs or archive extraction are present in the bundle.
Credentials
The skill requires no credentials or env vars. However, edge-tts performs network calls to Microsoft’s TTS endpoints, so text input will be transmitted off-device to a third party; that is proportionate for a cloud-based TTS service but has privacy implications the user should be aware of.
Persistence & Privilege
The skill is not always-on, does not modify other skills or system-wide settings, and does not request persistent presence. It performs only per-invocation local actions (generate/play/cleanup).
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install jarvis-tts - 安装完成后，直接呼叫该 Skill 的名称或使用
/jarvis-tts触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of Jarvis TTS.
- Provides natural-sounding Chinese text-to-speech using Microsoft edge-tts.
- Playback handled by macOS afplay for smooth, uninterrupted audio.
- Supports multiple Chinese voices (male/female).
- Simple CLI script for fast conversion: jarvis-tts.sh "text".
- Requires Python 3 and edge-tts package.
元数据
常见问题
Jarvis Tts 是什么？
Jarvis TTS text-to-speech using Microsoft edge-tts with afplay playback. Use when users request voice output, audio responses, or text-to-speech. Provides na... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 641 次。
如何安装 Jarvis Tts？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install jarvis-tts」即可一键安装，无需额外配置。
Jarvis Tts 是免费的吗？
是的，Jarvis Tts 完全免费（开源免费），可自由下载、安装和使用。
Jarvis Tts 支持哪些平台？
Jarvis Tts 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Jarvis Tts？
由 niuyufu（@e421083458）开发并维护，当前版本 v1.0.0。
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