← 返回 Skills 市场
Openai Whisper
作者
utromaya-code
· GitHub ↗
· v1.0.0
· MIT-0
159
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install whisper-local-stt
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: run a local Whisper CLI to transcribe audio. Before installing, verify the Homebrew formula source (run 'brew info/openai-whisper' or inspect the formula) to ensure you're installing an official/trusted package. Be aware that the first run will download model files to ~/.cache/whisper (potentially large and requiring network access); if you need stronger isolation, consider installing in a container or VM. After installation, check 'which whisper' and review 'whisper --help' or the formula contents to confirm there are no unexpected network callbacks or telemetry. If you require guaranteed offline behavior or strict provenance, obtain models and the CLI from an auditable upstream source.
能力评估
Purpose & Capability
Name/description (local speech-to-text) match the requirements and instructions: the skill only needs a 'whisper' CLI and shows local transcription commands. Nothing requested appears unrelated to the stated purpose.
Instruction Scope
SKILL.md only instructs running the local 'whisper' binary against local audio files. It does mention that models will be downloaded to ~/.cache/whisper on first run — which implies network activity and persistent storage of model files (large disk usage). This is expected for a local model CLI but is worth noting.
Install Mechanism
Install uses a Homebrew formula (openai-whisper) which is a low-to-moderate risk install mechanism. The manifest does not specify the tap or source repository for the formula; Homebrew formulas are usually safe but you should verify the formula's origin before installing to avoid pulling an untrusted binary.
Credentials
The skill requests no environment variables, credentials, or config paths — proportional to a local CLI STT tool.
Persistence & Privilege
Skill is not marked 'always' and does not request persistent system-wide privileges. Its persistent effect is limited to installing a binary and the CLI's own model cache (~/.cache/whisper).
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-local-stt - 安装完成后，直接呼叫该 Skill 的名称或使用
/whisper-local-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 Whisper local speech-to-text skill:
- Adds integration with the OpenAI Whisper CLI for local audio transcription and translation.
- No API key needed; all processing is done on your device.
- Includes quick start commands for transcribing and translating audio files.
- Provides installation instructions via Homebrew.
- Models are managed locally and default to the "turbo" model for fast performance.
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 159 次。
如何安装 Openai Whisper？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install whisper-local-stt」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 v1.0.0。
推荐 Skills