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在 OpenClaw 中安装
/install openclaw-whisper-asr
功能描述
本地 Whisper 语音识别配置。自动将飞书/Telegram 等渠道的语音消息转成文字。 适用于需要离线、低延迟语音转文字的场景。
安全使用建议
This is a how-to for running whisper.cpp locally and is coherent with its stated purpose, but before following it you should: 1) review the GitHub repo (https://github.com/ggml-org/whisper.cpp) and any download scripts to ensure you trust the source; 2) run build steps as an unprivileged user (avoid running arbitrary build scripts as root); 3) be aware the model download will pull large binaries from the network — verify URLs and checksums if available; 4) confirm the workspace path (/home/brew/.openclaw/workspace) is appropriate for your environment or change it to a directory you control; 5) consider using a container or VM if you prefer isolation. If you need confirmation about specific download URLs or want guidance to run this inside a container, provide details and I can help.
功能分析
Type: OpenClaw Skill
Name: openclaw-whisper-asr
Version: 1.0.0
The skill bundle provides legitimate instructions for setting up and using the open-source whisper.cpp tool for local speech-to-text processing. It involves standard procedures such as installing ffmpeg via apt-get, cloning the official repository from GitHub, and compiling the source code with cmake, with no evidence of malicious intent or data exfiltration.
能力评估
Purpose & Capability
Name/description (local Whisper ASR for voice messages) aligns with the instructions: cloning whisper.cpp, downloading models, installing ffmpeg, converting audio and running whisper-cli. All required actions are coherent with offline speech-to-text.
Instruction Scope
SKILL.md instructs performing system operations (apt-get, git clone, running a model download script, cmake build, ffmpeg conversions). These are expected for building/running whisper.cpp, but they grant the skill operator the ability to run arbitrary build scripts and write into /home/brew/.openclaw/workspace — verify you are comfortable with those file writes and that commands are run as a non-privileged user.
Install Mechanism
No formal install spec (instruction-only). The guide clones from GitHub and runs the project-provided model download script and build steps. Cloning and running upstream scripts is normal here but carries the usual risk of executing third-party code — check the repository and downloaded scripts before running.
Credentials
The skill does not request any environment variables, credentials, or config paths beyond writing to a workspace path. No unnecessary secrets are asked for.
Persistence & Privilege
always is false and the skill does not request persistent elevated privileges or modify other skills' configs. It recommends creating files under a workspace path; that is typical for a local installation.
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 openclaw-whisper-asr - 安装完成后，直接呼叫该 Skill 的名称或使用
/openclaw-whisper-asr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 local Whisper ASR skill:
- Provides a step-by-step guide for setting up offline Whisper speech-to-text on Linux servers.
- Supports converting Feishu/Telegram voice messages to text in Chinese and multiple languages.
- Includes instructions for installing dependencies, downloading/compiling whisper.cpp, and selecting models.
- Offers sample commands for audio conversion and speech recognition.
- Documents common troubleshooting and advanced model quantization options.
元数据
常见问题
openclaw-whisper-asr 是什么？
本地 Whisper 语音识别配置。自动将飞书/Telegram 等渠道的语音消息转成文字。 适用于需要离线、低延迟语音转文字的场景。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 240 次。
如何安装 openclaw-whisper-asr？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-whisper-asr」即可一键安装，无需额外配置。
openclaw-whisper-asr 是免费的吗？
是的，openclaw-whisper-asr 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
openclaw-whisper-asr 支持哪些平台？
openclaw-whisper-asr 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 openclaw-whisper-asr？
由 xiaohuozi（@279458179）开发并维护，当前版本 v1.0.0。
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