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在 OpenClaw 中安装
/install stt-simple
功能描述
Simple local Speech-To-Text using Whisper. One-command install with auto model download. Supports 99+ languages.
安全使用建议
This skill appears to be what it says: a local Whisper-based STT installer + small runtime. Before installing: 1) Inspect install.sh (already included) and be comfortable with it running system package installs (apt-get/yum/brew) and pip installs; those commands can require sudo. 2) Expect a network download of the Whisper model (~244MB for 'small') and increased disk usage in ~/.cache/whisper and the output directory. 3) Consider running the install inside a container, VM, or non-root user path (change VENV_DIR/OUTPUT_DIR) if you prefer isolation. 4) If you need to audit dependencies, verify the 'openai-whisper' PyPI package/source. 5) No credentials or unexpected external endpoints were found, but pip installs execute package code — only run if you trust the sources or run in an isolated environment.
功能分析
Type: OpenClaw Skill
Name: stt-simple
Version: 1.0.1
The skill provides a legitimate local speech-to-text service using the OpenAI Whisper library. The installation script (install.sh) and Python processor (stt_simple.py) perform standard environment setup, dependency management (FFmpeg/Whisper), and audio transcription without any evidence of data exfiltration, malicious execution, or unauthorized access.
能力评估
Purpose & Capability
Name/description match the files and instructions: install.sh creates a virtualenv, installs openai-whisper and ffmpeg, triggers model download, and stt_simple.py transcribes audio and writes outputs. There are no unrelated credentials, binaries, or services requested.
Instruction Scope
SKILL.md and install.sh confine actions to installing dependencies, downloading the Whisper model, creating an output directory, and verifying installation. Note: the install script may call apt-get/yum/brew to install ffmpeg (system package manager operations) and writes under /root/.openclaw and ~/.cache/whisper, so it may require elevated privileges or path edits on non-root systems.
Install Mechanism
No remote arbitrary archives or shortened URLs; dependencies are installed via pip (openai-whisper) and system package managers for ffmpeg. The model is downloaded at runtime via whisper.load_model (network download, ~244MB for 'small'). This is expected for a local Whisper setup.
Credentials
The skill requests no environment variables or secrets. It only creates a venv and writes model/cache and output files to local paths. No extraneous credential access is present.
Persistence & Privilege
The skill does not request 'always' or attempt to modify other skills. It creates persistent files (venv, model cache, output) under /root/.openclaw and ~/.cache/whisper; installing system packages (apt-get/yum/brew) may require sudo. Consider adjusting paths if you cannot or do not want files under /root.
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 stt-simple - 安装完成后，直接呼叫该 Skill 的名称或使用
/stt-simple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
v1.0.1
- Added full English translations alongside Chinese throughout SKILL.md.
- All usage instructions, model table, options, and troubleshooting now include both Chinese and English explanations.
- Improved accessibility for non-Chinese speakers.
- No code or file changes; documentation update only.
v1.0.0
stt-simple 1.0.0 – initial release
- Easy one-command local Speech-To-Text setup using Whisper, with automatic model download.
- Supports transcription in 99+ languages.
- Provides both command line and Python interface examples.
- Includes install script that handles environment setup, dependencies, and model download.
- Supports multiple output formats: .txt, .json, .srt, and .vtt.
- Documentation covers quickstart, model selection, language codes, and troubleshooting steps.
元数据
常见问题
Simple stt(sound-to-text) locally 是什么？
Simple local Speech-To-Text using Whisper. One-command install with auto model download. Supports 99+ languages. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 515 次。
如何安装 Simple stt(sound-to-text) locally？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install stt-simple」即可一键安装，无需额外配置。
Simple stt(sound-to-text) locally 是免费的吗？
是的，Simple stt(sound-to-text) locally 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Simple stt(sound-to-text) locally 支持哪些平台？
Simple stt(sound-to-text) locally 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 Simple stt(sound-to-text) locally？
由 Kuikui（@lkisme）开发并维护，当前版本 v1.0.1。
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