Speech to text

Transcreve arquivos de áudio em português brasileiro para texto, suportando vários formatos e incluindo timestamps.

This skill appears to do exactly what it says: local transcription using OpenAI Whisper. Before installing, consider: (1) Whisper will download model files on first run (can be large and requires network access); (2) you must install FFmpeg separately and ensure the 'inbound' folder path matches the script's computed path (SKILL.md's mkdir path may not match your environment); (3) the script will read and move any audio files placed in that folder and will write JSON transcriptions to an output directory—do not place sensitive audio there unless you are comfortable with it being processed and stored locally; (4) review requirements.txt and install dependencies in an isolated environment (virtualenv/container) to limit systemic impact. I reviewed the provided files and saw no code that exfiltrates data or requests unrelated credentials; if you want extra assurance, run the script in a sandboxed environment and inspect the full (non-truncated) stt_processor.py before production use.

Type: OpenClaw Skill Name: stt Version: 1.0.0 The skill provides a legitimate speech-to-text service using the OpenAI Whisper library. The core logic in `stt_processor.py` implements standard file-processing patterns, including monitoring an inbound directory, transcribing audio files, and moving processed files to success/failure folders. No evidence of data exfiltration, malicious execution, or prompt injection was found; the code and instructions in `SKILL.md` are consistent with the stated purpose.