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在 OpenClaw 中安装
/install sst-simple
功能描述
Local speech-to-text using OpenAI Whisper. Use when the user needs to: (1) transcribe audio files to text, (2) convert voice messages to written content, (3)...
安全使用建议
This skill appears to do what it claims: local Whisper-based transcription. Before installing, be aware that the included install.sh will: (1) create a virtual environment under /root/.openclaw/venv/stt-simple, (2) run pip install openai-whisper (downloads packages from PyPI), (3) attempt to install FFmpeg via apt/yum/brew (requires sudo/root), and (4) trigger model downloads to ~/.cache/whisper (large files, network bandwidth). If you plan to run this on a shared system, consider running the install and transcription inside a container or VM, and review the script contents (they are included) before execution. No credentials are requested and there are no hidden external endpoints in the code, but only run third-party install scripts that you trust or in an isolated environment.
功能分析
Type: OpenClaw Skill
Name: sst-simple
Version: 1.0.2
The skill bundle provides a legitimate local speech-to-text implementation using OpenAI's Whisper library. The installation script (scripts/install.sh) and Python logic (scripts/stt_simple.py) are transparent, well-documented, and perform expected tasks such as setting up a virtual environment, installing dependencies like FFmpeg, and transcribing audio files with session-based isolation. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
能力评估
Purpose & Capability
Name/description (local Whisper STT) match the included scripts and instructions. The install script, Python transcription script, model choices, and output locations are all consistent with the stated purpose.
Instruction Scope
SKILL.md and the scripts only reference local audio files, creating a local venv, installing dependencies, and writing outputs under /root/.openclaw/workspace/stt_output (and models to ~/.cache/whisper). There are no instructions to read unrelated system files, pull secrets, or send transcription data to external endpoints.
Install Mechanism
Installation is via a provided shell script that creates a Python venv, runs pip install openai-whisper, and may call system package managers (apt-get/yum/brew) to install ffmpeg. This is a common approach but requires network access to package registries and privileges to install system packages. The install script itself is included (no hidden download URLs).
Credentials
The skill requests no environment variables or credentials. Its filesystem paths are under /root/.openclaw and standard caches; this matches local STT behavior and does not require unrelated secrets.
Persistence & Privilege
Skill is not always-enabled and does not modify other skills or global agent configuration. It creates its own venv and output directories under /root/.openclaw, which is normal for an installed skill.
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 sst-simple - 安装完成后，直接呼叫该 Skill 的名称或使用
/sst-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
v1.0.2
- Support multi-agent usage
- Refine SKILL.md
元数据
常见问题
Simple sound-to-text skill locally 是什么？
Local speech-to-text using OpenAI Whisper. Use when the user needs to: (1) transcribe audio files to text, (2) convert voice messages to written content, (3)... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 248 次。
如何安装 Simple sound-to-text skill locally？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install sst-simple」即可一键安装，无需额外配置。
Simple sound-to-text skill locally 是免费的吗？
是的，Simple sound-to-text skill locally 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Simple sound-to-text skill locally 支持哪些平台？
Simple sound-to-text skill 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 sound-to-text skill locally？
由 Kuikui（@lkisme）开发并维护，当前版本 v1.0.2。
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