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babysor

speaker-local

作者 Vega · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
413
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install speak1
功能描述
Text-to-speech using Kokoro local TTS. Use when the user wants to convert text to audio, read aloud, or generate speech.
安全使用建议
This skill appears to be a wrapper for the third-party Kokoro TTS CLI and requires downloading model files and installing a tool, but the registry metadata omits those runtime requirements. Before installing or using: 1) verify the kokoro-tts project and release assets on GitHub are the genuine upstream (owner nazdridoy) and inspect release checksums if available; 2) confirm what 'uv tool install kokoro-tts' actually does (review its code or use a manual install) — unknown installers can run arbitrary commands; 3) ensure required runtime binaries (kokoro-tts, Python 3.9–3.12, wget or equivalent) are present and declared in metadata; 4) avoid running installers or executing downloaded model files from untrusted sources; 5) if you need higher assurance, request the skill author add explicit required-binaries and an install spec (or provide vetted package URLs / checksums). If you cannot verify the installer and release assets, treat the skill as untrusted.
功能分析
Type: OpenClaw Skill Name: speak1 Version: 1.0.0 The skill bundle is classified as suspicious due to its reliance on external network requests to download and install components. Specifically, the `SKILL.md` instructs the agent to use `uv tool install kokoro-tts` to install the main tool and `wget` commands to download binary model files (`kokoro-v1.0.onnx`, `voices-v1.0.bin`) from a GitHub repository. While these actions are plausibly needed for the stated purpose of a local TTS tool, they introduce supply chain risks by fetching and trusting external binaries, which could be compromised. This constitutes a 'risky capability' without clear malicious intent, aligning with the 'suspicious' classification.
能力评估
Purpose & Capability
Name/description (local TTS via Kokoro) match the instructions: examples and reference describe a CLI kokoro-tts and model files needed to convert text/epub/pdf to audio.
Instruction Scope
SKILL.md tells the agent to install kokoro-tts (via 'uv tool install kokoro-tts') and to wget model files from GitHub releases into the working directory. The instructions reference using kokoro-tts, wget, and Python (3.9–3.12) at runtime, but the skill metadata does not declare these requirements. Downloads and saving model binaries to disk are explicitly required and could install/execute third-party code.
Install Mechanism
No install spec in registry metadata, but the instructions call out 'uv tool install kokoro-tts' and direct downloads from GitHub release URLs (github.com/nazdridoy/kokoro-tts/releases/...). GitHub releases are a reasonable host, but 'uv tool install' is an unspecified installer; without knowing what that installer does, there's moderate risk. The downloads are direct model/binary assets (onnx, .bin) — no archive extraction specified.
Credentials
The skill requests no environment variables or credentials, which is appropriate for local TTS. However metadata omission of required runtime tools (kokoro-tts, wget, python) is an inconsistency to address.
Persistence & Privilege
always:false and no declared installs that modify other skills or system-wide config. The skill instructs placing model files in the working directory (normal for local models) but does not request persistent elevated privileges.
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 speak1
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /speak1 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 with major changes and focus shift: - Replaces prior auto-adaptive TTS configuration with a practical guide for using Kokoro local TTS. - Added detailed usage examples, quick start commands, and installation instructions. - Voices table gives an at-a-glance overview of available options. - Removed adaptive preference tracking and configuration details (config.md, criteria.md).
元数据
Slug speak1
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

speaker-local 是什么?

Text-to-speech using Kokoro local TTS. Use when the user wants to convert text to audio, read aloud, or generate speech. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 413 次。

如何安装 speaker-local?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install speak1」即可一键安装,无需额外配置。

speaker-local 是免费的吗?

是的,speaker-local 完全免费(开源免费),可自由下载、安装和使用。

speaker-local 支持哪些平台?

speaker-local 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 speaker-local?

由 Vega(@babysor)开发并维护,当前版本 v1.0.0。

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