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MH openai-whisper
作者
mohdalhashemi98-hue
· GitHub ↗
· v1.0.0
538
总下载
0
收藏
3
当前安装
1
版本数
在 OpenClaw 中安装
/install mh-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 appears coherent and limited in scope, but before installing: 1) confirm the Homebrew formula 'openai-whisper' comes from a trusted tap (to avoid running untrusted code via brew); 2) be aware that Whisper will download model files to ~/.cache/whisper (network usage and disk space); 3) verify the SKILL.md model name ('turbo') if you need a specific model — it may be a documentation typo. If those checks look good, the skill's requests are proportionate to its purpose.
功能分析
Type: OpenClaw Skill
Name: mh-openai-whisper
Version: 1.0.0
The skill bundle is benign. It clearly states its purpose as local speech-to-text using the OpenAI Whisper CLI. The installation method uses Homebrew to install the `openai-whisper` formula, which is a standard and secure package management approach. The `SKILL.md` provides straightforward usage examples and informational notes without any evidence of prompt injection attempts, malicious commands, data exfiltration, or other harmful behaviors.
能力评估
Purpose & Capability
Name/description align with requirements: the skill only needs the 'whisper' binary and provides brew install metadata for it. No unrelated credentials, binaries, or config paths are requested. Minor note: SKILL.md states the default model is 'turbo', which is unexpected for Whisper model naming and may be a documentation inaccuracy to confirm.
Instruction Scope
Runtime instructions are narrowly scoped: example commands operate on a user-supplied audio file and mention models downloading to ~/.cache/whisper. This implies network access and disk writes to the user home directory (model cache) on first run — normal for local transcription but worth noting. Instructions do not ask for unrelated files, secrets, or external endpoints.
Install Mechanism
Install uses a Homebrew formula (openai-whisper) which is a low-to-moderate risk install mechanism compared with arbitrary downloads. The SKILL metadata does not declare the tap or provenance of the formula; confirm the formula is from a trusted tap (Homebrew core or a reputable maintainer) before installing.
Credentials
No environment variables, credentials, or config paths are requested — proportional to a local CLI transcription tool.
Persistence & Privilege
Skill does not request always-on or elevated privileges and is not modifying other skills or global agent settings. Its runtime effects are limited to installing/using the whisper binary and caching models under the user's home directory.
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 mh-openai-whisper - 安装完成后，直接呼叫该 Skill 的名称或使用
/mh-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
Priority upload batch
元数据
常见问题
MH 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 538 次。
如何安装 MH openai-whisper？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install mh-openai-whisper」即可一键安装，无需额外配置。
MH openai-whisper 是免费的吗？
是的，MH openai-whisper 完全免费（开源免费），可自由下载、安装和使用。
MH openai-whisper 支持哪些平台？
MH 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 MH openai-whisper？
由 mohdalhashemi98-hue（@mohdalhashemi98-hue）开发并维护，当前版本 v1.0.0。
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