Whisper Stt

语音转文字 - 使用OpenAI Whisper将音频文件识别为文字

This package is a simple, local Whisper-based transcription script — safe in the sense it only transcribes local files — but the documentation claims automatic processing and sending results to Feishu even though the code doesn't implement that. Before installing or enabling automated runs: 1) Confirm whether you want automatic network posting; if so, require the author to implement it and declare what env vars/tokens will be needed. 2) Expect large model downloads (1–10GB) and significant CPU/RAM or GPU needs; ensure sufficient disk space and bandwidth. 3) If running in a hosted agent, limit network/file permissions (run in isolated environment) until the Feishu/integration behavior is clarified. 4) Note the README/author metadata includes an obfuscated-looking identity string in the script — not proof of malice but worth verifying the source if you require provenance.

Type: OpenClaw Skill Name: openclaw-skill-whisper-stt Version: 0.1.0 The OpenClaw skill 'whisper-stt' is designed for speech-to-text conversion using OpenAI's Whisper model. The `SKILL.md` provides clear, non-malicious instructions for the AI agent to process audio and send the transcribed text to Feishu, which is a legitimate function for such a skill. The `transcribe.py` script correctly implements this functionality, handling audio input and text output without any signs of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts. All dependencies and operations are standard for an STT tool.