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在 OpenClaw 中安装
/install whisper-stt
功能描述
Free local speech-to-text transcription using OpenAI Whisper. Transcribe audio files (mp3, wav, m4a, ogg, etc.) to text without API costs. Use when: (1) User...
安全使用建议
This skill appears safe and does what it says: local transcription using the open-source Whisper library. Before installing, be aware it will require pip-installing third-party packages (torch and openai-whisper) and that the first run will typically download large model files (hundreds of MBs to multiple GBs) to your machine — check disk space and network usage. Install torch from the official source appropriate for your GPU/OS to avoid incompatibilities. If you have privacy concerns, note transcription runs locally (no credentials are requested), but downloaded model files are cached on disk; inspect or run in a sandbox if you want stricter isolation. Finally, some model names listed (e.g., large-v3-turbo) may not be available in every whisper distribution — test with smaller models first.
功能分析
Type: OpenClaw Skill
Name: whisper-stt
Version: 1.0.0
The OpenClaw skill bundle provides local speech-to-text transcription using OpenAI Whisper. All files, including the `SKILL.md` instructions, `scripts/demo.sh`, and `scripts/transcribe.py`, align with the stated purpose. The `transcribe.py` script utilizes the `whisper` library, which legitimately downloads models from known sources as part of its core functionality. There is no evidence of prompt injection attempts, unauthorized data exfiltration, malicious execution, persistence mechanisms, or other harmful behaviors.
能力评估
Purpose & Capability
Name/description (local Whisper STT) match the files and runtime instructions. The included scripts implement local transcription using the openai-whisper package; no unrelated credentials, binaries, or services are requested.
Instruction Scope
SKILL.md and scripts only instruct installing Python packages (openai-whisper, torch), optionally ffmpeg, and running the local transcribe script. The scripts read the provided audio file and print formatted output; they do not access other system paths, environment variables, or remote endpoints directly from the skill code.
Install Mechanism
There is no install spec (instruction-only plus two script files) which is low risk. Runtime use of whisper.load_model will, however, typically download model weights from upstream hosts (large files). That network activity and large disk/cache use is expected behavior for Whisper but worth noting.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code does not read secrets or unrelated env vars. The dependency list (openai-whisper, torch, optional ffmpeg) is proportionate to local transcription.
Persistence & Privilege
always is false and the skill does not request persistent elevated privileges or modify other skills. It runs only when invoked and does not attempt to change global agent settings.
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 whisper-stt - 安装完成后，直接呼叫该 Skill 的名称或使用
/whisper-stt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 the whisper-stt skill for free, local speech-to-text transcription using OpenAI Whisper.
- Supports a range of audio/video input formats (mp3, wav, m4a, ogg, etc.) without API costs.
- Multiple output formats available: json, txt, srt, and vtt (for subtitles).
- Configurable model sizes for performance vs. accuracy tradeoffs.
- Option to specify target language and leverage GPU acceleration if available.
- Comprehensive usage instructions and troubleshooting included.
元数据
常见问题
Whisper STT 是什么？
Free local speech-to-text transcription using OpenAI Whisper. Transcribe audio files (mp3, wav, m4a, ogg, etc.) to text without API costs. Use when: (1) User... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1230 次。
如何安装 Whisper STT？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install whisper-stt」即可一键安装，无需额外配置。
Whisper STT 是免费的吗？
是的，Whisper STT 完全免费（开源免费），可自由下载、安装和使用。
Whisper STT 支持哪些平台？
Whisper STT 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 Whisper STT？
由 nic（@nickylin）开发并维护，当前版本 v1.0.0。
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