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speaker-local

作者 Vega · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
329
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install sayit
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 coherent and limited to running a local Kokoro TTS CLI. Before installing or running anything: (1) verify the GitHub release URLs point to the official kokoro-tts repo and check release signatures/SHA256 if available; (2) inspect the installer `uv` (what it is and where it comes from) before running `uv tool install kokoro-tts`; (3) run the tool and downloaded model files in a sandbox or VM if you are unsure; (4) confirm you have sufficient disk space and the required Python version; and (5) review the kokoro-tts project's license and privacy/security notes if you will process sensitive text. These checks will reduce risk from running downloaded binaries or large model files.
功能分析
Type: OpenClaw Skill Name: sayit Version: 1.0.0 This skill is classified as benign. Its purpose is to provide local text-to-speech functionality using the `kokoro-tts` tool. The `SKILL.md` file clearly describes its function and provides standard installation instructions, including `uv tool install kokoro-tts` and `wget` commands to download model files from the official GitHub repository (github.com/nazdridoy/kokoro-tts). All actions are transparent, directly aligned with the stated purpose, and lack any indicators of malicious intent such as data exfiltration, unauthorized execution, persistence mechanisms, or prompt injection attempts against the agent. The `reference.txt` file provides only documentation.
能力评估
Purpose & Capability
Name/description (local TTS) align with the instructions: the SKILL.md shows how to run kokoro-tts, which voices and options to use, and how to obtain model files. Nothing requested (no env vars, no unrelated binaries) appears out of scope for providing text-to-speech.
Instruction Scope
Runtime instructions are narrowly scoped to installing/using kokoro-tts and downloading two model files; they do not instruct reading arbitrary system files, accessing credentials, or exfiltrating data. Commands shown are specific (kokoro-tts, wget) and limited to TTS-related tasks.
Install Mechanism
This is instruction-only (no install spec). The SKILL.md directs the user to run `uv tool install kokoro-tts` and to wget model files from GitHub releases. GitHub release URLs are a common/expected source; however, the installer `uv` is not explained (unknown tool) and the instructions do download/extract model blobs into the working directory — user should verify the provenance and checksums of those release artifacts before running them.
Credentials
No environment variables, credentials, or config paths are required. The skill does not request unrelated secrets or broad environment access; asking for model files in the working directory is proportional to running a local TTS.
Persistence & Privilege
Skill does not request persistent presence (always=false) and includes no instructions to modify agent-wide settings or other skills. Autonomous invocation is allowed by default but is not combined with other concerning 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 sayit
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /sayit 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: local text-to-speech skill using Kokoro TTS. - Converts text, files (txt, epub, pdf), or streams to audio. - Supports multiple languages, dozens of natural voices, and voice blending. - Offers output to various file formats (wav, mp3) and stream playback. - Includes installation guidance and quick-start examples for users.
元数据
Slug sayit
版本 1.0.0
许可证
累计安装 1
当前安装数 1
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 329 次。

如何安装 speaker-local?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install sayit」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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