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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
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install speak1 - 安装完成后,直接呼叫该 Skill 的名称或使用
/speak1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 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
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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