Mlx Tts

基于 mlx-audio 的本地文本转语音，支持多语言和多模型，输出音频文件限于指定路径，无需 API 密钥。

This skill appears to be what it says: a local mlx-audio-based TTS helper. Before installing/using it, consider: 1) The SKILL.md expects you to run `uv tool install mlx-audio` — verify what that command will do in your environment and prefer installing packages inside an isolated virtualenv or container. 2) Models can be large (GBs) and may require substantial RAM and disk; check that your Apple Silicon machine has enough resources for the selected model. 3) Model downloads will use network and store files in ~/.cache/huggingface/hub/; ensure you are comfortable with that and with any licensing for particular models. 4) The skill enforces output-path restrictions and disallows symlinks, which is good; still confirm the paths are acceptable for your workflow. 5) If you need stronger assurance, inspect the mlx-audio package source (and its dependencies) before installing, or run it in an isolated environment. If any part (the `uv` tool, model choices, or claimed Apple Silicon compatibility) seems unclear, ask the maintainer for clarifications or a runnable example before enabling autonomous use.

Type: OpenClaw Skill Name: openclaw-mlx-tts Version: 0.1.0 The skill bundle provides documentation and instructions for a local Text-to-Speech tool using the `mlx-audio` library on Apple Silicon. It includes explicit security constraints such as restricting output paths to `/tmp` or specific directories, symbolic link checks, and file size limits, with no evidence of malicious intent or suspicious behavior in the provided files (SKILL.md, _meta.json).