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Chen Openai Whisper
作者
cs995279497-byte
· GitHub ↗
· v1.0.0
· MIT-0
173
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install chen-openai-whisper
功能描述
Local speech-to-text with the Whisper CLI (no API key).
使用说明 (SKILL.md)
Whisper (CLI)
Use whisper to transcribe audio locally.
Quick start
whisper /path/audio.mp3 --model medium --output_format txt --output_dir .whisper /path/audio.m4a --task translate --output_format srt
Notes
- Models download to
~/.cache/whisperon first run. --modeldefaults toturboon this install.- Use smaller models for speed, larger for accuracy.
安全使用建议
This skill is an instruction wrapper around a local Whisper CLI and looks coherent. Before installing: 1) Confirm which Homebrew tap provides the 'openai-whisper' formula (prefer official Homebrew/core or a trusted tap). 2) Expect large model files to be downloaded to ~/.cache/whisper on first use — ensure you have disk space and are comfortable with local storage of audio-derived models. 3) Verify supported model names for the package (the README's default 'turbo' is unusual for classic Whisper). 4) The skill will read any audio file you point it at and write transcripts locally — don't feed sensitive audio unless you trust the installed binary. Overall this appears consistent with its stated purpose.
功能分析
Type: OpenClaw Skill
Name: chen-openai-whisper
Version: 1.0.0
The skill is a straightforward wrapper for the OpenAI Whisper CLI, providing instructions and installation steps via Homebrew for local audio transcription. No suspicious behaviors, data exfiltration, or malicious instructions were found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name/description say 'local speech-to-text with Whisper CLI' and the skill only requires the 'whisper' binary and shows CLI usage. Requiring the whisper binary and offering a brew install is consistent with the claimed purpose.
Instruction Scope
SKILL.md instructs the agent to run the whisper CLI against local audio files and notes that models are downloaded to ~/.cache/whisper. The instructions do not ask for unrelated files, environment variables, or external endpoints. Note: the doc claims '--model' defaults to 'turbo', which is an unusual model name for classic Whisper distributions — you may want to verify supported model names for the specific brew package.
Install Mechanism
Install uses a Homebrew formula ('openai-whisper'), which is low-risk compared with arbitrary downloads. However, Homebrew formulas can come from different taps — verify the formula source (official Homebrew/core vs a third-party tap) before installing.
Credentials
No environment variables, credentials, or config paths are requested. This is proportionate for a local CLI transcription skill.
Persistence & Privilege
Skill is not always-enabled and does not request elevated or persistent privileges. It does cause models to be cached to ~/.cache/whisper on first run (disk usage), which is normal behavior for local model downloads.
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 chen-openai-whisper - 安装完成后，直接呼叫该 Skill 的名称或使用
/chen-openai-whisper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: Local speech-to-text transcription using the Whisper CLI.
- Transcribe audio locally with no API key required.
- Supports popular audio formats and multiple output types (txt, srt).
- Installs easily via Homebrew.
- Default model is set to turbo; customizable for speed or accuracy.
- Downloads models to user's cache directory on first run.
元数据
常见问题
Chen 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 173 次。
如何安装 Chen Openai Whisper？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install chen-openai-whisper」即可一键安装，无需额外配置。
Chen Openai Whisper 是免费的吗？
是的，Chen Openai Whisper 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Chen Openai Whisper 支持哪些平台？
Chen 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 Chen Openai Whisper？
由 cs995279497-byte（@cs995279497-byte）开发并维护，当前版本 v1.0.0。
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