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Install in OpenClaw
/install openclaw-whisper-asr
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install openclaw-whisper-asr - After installation, invoke the skill by name or use
/openclaw-whisper-asr - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is openclaw-whisper-asr?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 240 downloads so far.
How do I install openclaw-whisper-asr?
Run "/install openclaw-whisper-asr" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is openclaw-whisper-asr free?
Yes, openclaw-whisper-asr is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does openclaw-whisper-asr support?
openclaw-whisper-asr is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created openclaw-whisper-asr?
It is built and maintained by xiaohuozi (@279458179); the current version is v1.0.0.
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