Tom Video Understanding

Local video comprehension skill. Use ffmpeg to extract audio and frames, FunASR for speech recognition, and qwen3-vl for image understanding.

This skill appears to do what it says: extract audio/frames and run local models. Before using it, ensure: (1) you have ffmpeg, conda, and Ollama installed and you trust the sources from which models will be downloaded (model downloads will use network and can be large); (2) if you plan to use the optional cloud LLM step, confirm which endpoint and credentials you'll use and avoid sending sensitive video/audio to unknown cloud services; (3) update the Windows-specific ModelScope cache path and any example mirrors (README's OLLAMA_BASE_URL example is a placeholder) to suit your environment; (4) verify Ollama's model provenance (qwen3-vl) and FunASR model identifiers before pulling. If the skill ever asked to read unrelated system files, request unrelated credentials, or included opaque download URLs or install scripts, treat it as suspicious and do not run without deeper review.

Type: OpenClaw Skill Name: tom-video-understanding Version: 1.0.0 The skill bundle provides legitimate instructions for local video processing using ffmpeg, FunASR, and Ollama. While SKILL.md contains hardcoded environment paths (e.g., C:/Users/TOM/.cache/modelscope) and executes shell commands for media extraction, these actions are directly aligned with the stated purpose of video understanding and lack any indicators of malicious intent or data exfiltration.