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在 OpenClaw 中安装
/install openai-whisper-andy27725
功能描述
Local speech-to-text with the Whisper CLI (no API key).
安全使用建议
This skill appears to do what it claims: run the local Whisper CLI to transcribe audio. Before installing: (1) verify the Homebrew formula 'openai-whisper' comes from a trusted tap (inspect the formula and its source repository); (2) be aware that model files will be downloaded to ~/.cache/whisper (network activity and disk usage); (3) confirm the installed 'whisper' binary is the expected implementation (run whisper --version or check upstream repo); (4) note a minor documentation inconsistency: the SKILL.md mentions a default model named 'turbo', which is not a standard Whisper model name — treat that as a documentation error, not a credential or access red flag. If you are unsure about the brew formula's provenance, install in a sandbox/VM or build the upstream project from source instead.
能力评估
Purpose & Capability
The name/description (local speech-to-text with Whisper CLI) matches the declared requirement (whisper binary) and the included install spec (brew formula that provides a whisper binary). There are no unrelated credentials, binaries, or config paths requested.
Instruction Scope
SKILL.md only instructs the agent to run the whisper CLI against local audio files and notes that models download to ~/.cache/whisper. It does not request reading unrelated files or environment variables. Note: model downloads are network activity and will write to disk (cache directory).
Install Mechanism
Install spec uses a brew formula (openai-whisper) which is a low-risk mechanism in general. However the formula's tap/source is not specified here; a third-party tap could install arbitrary code. Recommend verifying the formula's origin and audit the formula before installing.
Credentials
The skill requests no environment variables, credentials, or config paths — appropriate for a local CLI-based transcription tool.
Persistence & Privilege
always is false and the skill does not request permanent presence or elevated privileges. It will cause model files to be cached on first run but does not modify other skills or global 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 openai-whisper-andy27725 - 安装完成后，直接呼叫该 Skill 的名称或使用
/openai-whisper-andy27725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 openai-whisper skill.
- Enables local speech-to-text transcription using the Whisper CLI (no API key required).
- Supports multiple audio formats and transcription/translation tasks.
- Quick commands and notes included for easy setup and use.
- Models are cached locally for faster access on subsequent runs.
- Brew installation instructions provided.
元数据
常见问题
Openai Whisper Andy27725 是什么？
Local speech-to-text with the Whisper CLI (no API key). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 151 次。
如何安装 Openai Whisper Andy27725？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openai-whisper-andy27725」即可一键安装，无需额外配置。
Openai Whisper Andy27725 是免费的吗？
是的，Openai Whisper Andy27725 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Openai Whisper Andy27725 支持哪些平台？
Openai Whisper Andy27725 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 Openai Whisper Andy27725？
由 Andy27725（@andy27725）开发并维护，当前版本 v1.0.0。
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