Mlx Stt

本地运行 mlx-audio Whisper 模型，将多格式音频转录为文本，支持自动语言检测和时间戳，无需联网或 API 密钥。

This skill appears to do what it claims (local transcription). Before installing or using it: 1) confirm you have a compatible Python runtime and understand what the `uv` tool is and where it will install packages from; 2) only install `mlx-audio` from a trusted source; 3) ensure the CLI commands referenced (e.g., /mlx-stt, /voice-stt) exist in your environment or that the OpenClaw plugin will provide them; 4) test with non-sensitive audio first and monitor network activity to verify the claim that processing is fully local; 5) if you need the agent to run this autonomously, ensure appropriate safeguards since the skill can access local files you point it to (audioPath). If you want, provide the environment where you will run this (OS, presence of Python/uv) and I can list the exact commands to safely install and verify dependencies.

Type: OpenClaw Skill Name: openclaw-mlx-stt Version: 0.1.0 The skill bundle 'openclaw-mlx-stt' is a legitimate utility designed to provide speech-to-text capabilities on Apple Silicon using the mlx-audio library. The SKILL.md file defines standard tool actions (transcribe, status, reload) and provides clear instructions for local execution without any evidence of data exfiltration, malicious shell commands, or prompt injection. The dependency installation command (uv tool install mlx-audio) refers to a known, relevant library for the stated purpose.