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在 OpenClaw 中安装
/install openai-whisper-local
功能描述
Local speech-to-text with the Whisper CLI (no API key).
安全使用建议
This skill is mostly coherent for local transcription: it requires a 'whisper' CLI and suggests installing via Homebrew. Before installing, verify the Homebrew formula's source/tap to ensure it's official or trusted. Confirm the installed 'whisper' binary is the expected project (run 'whisper --version' or inspect the formula). Note that the CLI will download models to ~/.cache/whisper (network activity and disk use) on first run. The SKILL.md's reference to a default model named 'turbo' is inconsistent with common Whisper model names (tiny, base, small, medium, large) — treat that as a possible typo or as an indication the wrapper may do additional work; ask the maintainer or inspect the formula if you need guarantees. Test on non-sensitive audio first, run in a sandbox or non-privileged account if possible, and avoid installing software from unverified taps on production machines.
功能分析
Type: OpenClaw Skill
Name: openai-whisper-local
Version: 1.0.0
The skill provides local speech-to-text functionality using the legitimate OpenAI Whisper CLI. It includes standard installation instructions via Homebrew and typical usage examples in SKILL.md. No malicious code, data exfiltration, or suspicious instructions were found.
能力评估
Purpose & Capability
The name/description (local Whisper CLI) match the declared requirement for the 'whisper' binary and the brew install of formula 'openai-whisper'. However, SKILL.md claims the default model is 'turbo' (an LLM-style name) which is not a standard Whisper model name — this mismatch is unexplained and could be a typo or indicate a wrapper that behaves differently than expected.
Instruction Scope
SKILL.md only instructs running the local 'whisper' CLI against local audio files and saving transcripts; it notes models download to ~/.cache/whisper on first run. There are no instructions to read unrelated files, access environment variables, or post data to unexpected endpoints. Be aware the CLI will download models from the network on first use.
Install Mechanism
Install is via Homebrew formula 'openai-whisper', which is an expected low-risk install mechanism in general. The skill package does not include the brew formula source, so the specific tap/origin of that formula is not verified here — confirm the formula comes from a trusted tap before installing.
Credentials
No environment variables, credentials, or config paths are requested. This is proportional for a local CLI transcription tool that doesn't call external APIs requiring keys.
Persistence & Privilege
The skill does not request always-on presence and has default autonomy settings. It does not attempt to modify other skills or system-wide settings per the provided metadata.
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-local - 安装完成后，直接呼叫该 Skill 的名称或使用
/openai-whisper-local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 publish
元数据
常见问题
OpenAI Whisper Local 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 638 次。
如何安装 OpenAI Whisper Local？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openai-whisper-local」即可一键安装，无需额外配置。
OpenAI Whisper Local 是免费的吗？
是的，OpenAI Whisper Local 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
OpenAI Whisper Local 支持哪些平台？
OpenAI Whisper Local 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 Local？
由 wingchiu（@wingchiu）开发并维护，当前版本 v1.0.0。
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