Auto-transcribe voice messages locally using faster-whisper with selectable Whisper models, no API key required.

This skill appears coherent for local transcription. Before installing: (1) be aware pip install faster-whisper will install third-party code from PyPI and may build native dependencies—review that package if you require strict supply-chain controls; (2) model files are downloaded on first use (network bandwidth, disk space, and cache location like ~/.cache may be used); (3) transcription can require significant RAM/CPU/GPU depending on model size—ensure your system meets the listed VRAM/RAM requirements; (4) the included script only reads the audio file you pass and prints the text (no hidden endpoints or credential access were found), but if you must guarantee full offline operation, pre-download models and verify faster-whisper’s sources before running.

Type: OpenClaw Skill Name: audio-transcribe Version: 1.0.0 The OpenClaw skill 'audio-transcribe' is benign. The `SKILL.md` provides clear, non-malicious instructions for installing dependencies and running the transcription script, with no evidence of prompt injection attempts. The `scripts/transcribe.py` script uses the `faster-whisper` library to perform local audio transcription, taking an audio file path as input. It does not contain any code for data exfiltration, malicious execution, persistence, or obfuscation. The model download on first use is a standard and expected behavior for local machine learning models.