← 返回 Skills 市场
Openai Whisper
作者
utromaya-code
· GitHub ↗
· v1.0.1
· MIT-0
210
总下载
0
收藏
1
当前安装
3
版本数
在 OpenClaw 中安装
/install whisper-speech-to-text
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 says, but consider these practical checks before installing: (1) Homebrew will install the whisper binary — inspect the openai-whisper formula or install the binary yourself if you prefer to review the source; (2) on first run the CLI will download pretrained models to ~/.cache/whisper — expect large downloads and disk usage and verify network access is acceptable; (3) audio is transcribed locally (no API key required), but the agent invoking the skill can run the CLI on any audio file it has access to — only allow the agent to access files you trust; (4) ensure Homebrew is supported on your OS or install the CLI by hand if necessary; (5) if you want maximal control, preinstall the whisper binary and keep it up-to-date yourself rather than relying on automated installs.
功能分析
Type: OpenClaw Skill
Name: whisper-speech-to-text
Version: 1.0.1
The whisper-speech-to-text skill provides a standard interface for the OpenAI Whisper CLI to perform local audio transcription. The installation process uses the legitimate Homebrew package 'openai-whisper', and the SKILL.md instructions are limited to standard usage examples without any signs of prompt injection, data exfiltration, or malicious execution.
能力评估
Purpose & Capability
Name/description, required binary (whisper), and the brew install formula (openai-whisper) all align with a local Whisper CLI wrapper. No unrelated credentials or binaries are requested.
Instruction Scope
SKILL.md only instructs running the whisper CLI against local audio files and notes model cache location (~/.cache/whisper). It does not request unrelated system files, extra environment variables, or external endpoints beyond model downloads on first run.
Install Mechanism
Install uses a Homebrew formula (openai-whisper) to create the whisper binary. Homebrew is a standard package manager and appropriate for installing a CLI. No arbitrary download URLs or archive-extract steps are present in the spec.
Credentials
No environment variables or external credentials are required. The only persisted data noted is model files downloaded to ~/.cache/whisper, which is proportional to a local transcription tool.
Persistence & Privilege
Skill is not forced-always, does not request elevated privileges, and does not modify other skills or system-wide configs. It will run the local whisper binary when invoked (autonomous invocation is platform default).
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-speech-to-text - 安装完成后，直接呼叫该 Skill 的名称或使用
/whisper-speech-to-text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
- No changes detected in this release.
- Version bumped to 1.0.1 without updates to documentation or code.
v1.0.2
- No user-visible changes in this release; the version was updated without modifying files.
v1.0.0
Initial release of local Whisper speech-to-text skill.
- Transcribes audio files locally using the Whisper CLI—no API key needed.
- Quick start commands and usage examples included.
- Supports multiple audio formats and both transcription and translation tasks.
- Installs via Homebrew; requires the `whisper` binary.
- Models are downloaded automatically on first run; default model is `turbo`.
元数据
常见问题
Openai Whisper 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 210 次。
如何安装 Openai Whisper？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install whisper-speech-to-text」即可一键安装，无需额外配置。
Openai Whisper 是免费的吗？
是的，Openai Whisper 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Openai Whisper 支持哪些平台？
Openai Whisper 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？
由 utromaya-code（@utromaya-code）开发并维护，当前版本 v1.0.1。
推荐 Skills