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Whisper Piper Voice

作者 DanielGrobelny · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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当前安装
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版本数
在 OpenClaw 中安装
/install whisper-piper-voice
功能描述
Set up and run a local voice pipeline combining Whisper STT (speech-to-text) and Piper TTS (text-to-speech) as a single HTTP server. Use when asked to set up...
安全使用建议
This skill appears to do what it claims, but take these precautions before installing and running the server: 1) By default the server binds 0.0.0.0 and has no authentication — restrict it to localhost or put it behind a reverse proxy with auth (or firewall rules) if you will expose it on a network. 2) Run the service as an unprivileged user (as in the systemd example) and avoid running as root. 3) Verify downloaded artifacts (piper binary and voice models) come from the official project pages/releases and review license terms for model use. 4) Consider rate-limiting or network controls; the server spawns subprocesses (piper, ffmpeg) for each request and has no built-in quotas, so untrusted input or heavy traffic could exhaust resources. 5) If you need remote access, add TLS and authentication (reverse proxy or API key) — do not expose the plain HTTP endpoints to the open internet.
功能分析
Type: OpenClaw Skill Name: whisper-piper-voice Version: 1.0.0 The skill implements a local STT/TTS HTTP server that contains several security vulnerabilities. Specifically, 'scripts/voice-server.py' uses the deprecated and insecure 'tempfile.mktemp()' function, which is susceptible to race conditions and symlink attacks. Additionally, the server binds to all network interfaces ('0.0.0.0') without any authentication mechanism, potentially exposing the host to unauthorized access. While these behaviors appear to be unintentional flaws rather than malicious intent, they represent significant security risks in a networked environment.
能力评估
Purpose & Capability
Name, description, SKILL.md, setup guide, and the included Python script all align: faster-whisper for STT, a Piper binary and ONNX voice model for TTS, and ffmpeg to produce Ogg/Opus output. Required downloads (GitHub releases, Hugging Face) and package installs are consistent with delivering a local offline pipeline.
Instruction Scope
Runtime instructions are focused on installing models/binaries, creating a venv, and running the bundled server. They also provide a systemd example to persist the service. The instructions do not request secrets or unrelated system access. However, the default server listens on 0.0.0.0 and no authentication or access control is documented; that is a security/operational concern (exposes the service to network access).
Install Mechanism
There is no automated install spec; installation is manual via documented commands. Downloads are from GitHub releases and Hugging Face (well-known hosts). No obscure or shortener URLs and no archive extraction from unknown servers beyond those legitimate sources.
Credentials
The skill requests no environment variables or credentials. The code and instructions do not attempt to read secrets or unrelated config paths. Required artifacts (piper binary, ONNX voice file, ffmpeg, faster-whisper) are appropriate for the stated functionality.
Persistence & Privilege
The SKILL.md/setup guide suggests enabling a systemd service for auto-start, which is a reasonable convenience for a local server. The skill does not set always:true and does not modify other skills. Still, running the server as a persistent service that binds to 0.0.0.0 increases attack surface; advise running as an unprivileged user and exposing only the intended interfaces.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install whisper-piper-voice
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /whisper-piper-voice 触发
  4. 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: Combined Whisper STT + Piper TTS HTTP server. Single-port voice pipeline, runs fully local on CPU or GPU. Includes voice-server.py script, setup guide, and model recommendations.
元数据
Slug whisper-piper-voice
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Whisper Piper Voice 是什么?

Set up and run a local voice pipeline combining Whisper STT (speech-to-text) and Piper TTS (text-to-speech) as a single HTTP server. Use when asked to set up... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 108 次。

如何安装 Whisper Piper Voice?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install whisper-piper-voice」即可一键安装,无需额外配置。

Whisper Piper Voice 是免费的吗?

是的,Whisper Piper Voice 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Whisper Piper Voice 支持哪些平台?

Whisper Piper Voice 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 Whisper Piper Voice?

由 DanielGrobelny(@danielgrobelny)开发并维护,当前版本 v1.0.0。

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