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mlx-whisper
作者
Shiwen Han
· GitHub ↗
· v1.0.0
· MIT-0
345
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install tshogx-mlx-whisper
功能描述
Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key).
安全使用建议
This is an instruction-only skill that expects a local 'mlx_whisper' CLI and will download model files into ~/.cache/huggingface/. Before installing or using: (1) verify you have a trusted source for the 'mlx_whisper' binary and install it from an official repository; (2) confirm the model 'mlx-community/whisper-large-v3-turbo' is public or whether you need a HUGGINGFACE_HUB_TOKEN (the skill doesn't declare it); (3) be aware downloads may be large and require network access; (4) ensure you are on an Apple Silicon Mac as required. If any of these are unclear from the skill publisher, ask for an install guide and explicit explanation of model provenance and auth requirements.
功能分析
Type: OpenClaw Skill
Name: tshogx-mlx-whisper
Version: 1.0.0
The skill bundle provides legitimate instructions and documentation for using MLX Whisper for local speech-to-text on Apple Silicon. The SKILL.md file contains standard CLI usage examples and a helpful default model recommendation without any indicators of malicious intent, data exfiltration, or unauthorized execution.
能力评估
Purpose & Capability
The description promises local speech-to-text on Apple Silicon which matches the SKILL.md examples. However, the metadata lists no required binaries or install steps while the instructions repeatedly call a 'mlx_whisper' CLI — that binary (or an install instruction) is necessary for the skill to work and should be declared.
Instruction Scope
Runtime instructions are narrowly scoped to transcription commands (input audio, output formats, model selection) and reference only a user audio path and a local cache (~/.cache/huggingface/). They do not instruct reading unrelated system files or exfiltrating data.
Install Mechanism
There is no install spec (instruction-only), which is low risk, but also inconsistent with the CLI-based instructions. The skill relies on an external 'mlx_whisper' binary being present — the skill should either declare that binary or provide installation instructions or a reputable source.
Credentials
The skill declares no environment variables, but it references Hugging Face model identifiers and a huggingface cache location. Some Hugging Face models require authentication (HUGGINGFACE_HUB_TOKEN) or are large downloads; the skill does not acknowledge this or request tokens, which is an omission that could lead to unexpected network access or failure.
Persistence & Privilege
The skill does not request persistent/always-on privileges and does not modify system or other-skill configurations. It will write downloaded models into the user's Hugging Face cache (~/.cache/huggingface/), which is expected for local model use.
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 tshogx-mlx-whisper - 安装完成后，直接呼叫该 Skill 的名称或使用
/tshogx-mlx-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 of mlx-whisper skill.
- Enables local speech-to-text transcription on Apple Silicon Macs (M1/M2/M3/M4) using MLX Whisper.
- No API key required; runs entirely on-device.
- Supports various audio formats, SRT subtitle generation, language hints, and translation to English.
- Always uses `mlx-community/whisper-large-v3-turbo` model by default.
元数据
常见问题
mlx-whisper 是什么？
Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 345 次。
如何安装 mlx-whisper？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tshogx-mlx-whisper」即可一键安装，无需额外配置。
mlx-whisper 是免费的吗？
是的，mlx-whisper 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
mlx-whisper 支持哪些平台？
mlx-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 mlx-whisper？
由 Shiwen Han（@tshogx）开发并维护，当前版本 v1.0.0。
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