Media Quality Assessor
Evaluates and scores media content quality based on technical metadata and keyword heuristics to automate acceptance or rejection workflows.
The Media Quality Assessor skill provides a robust framework for automatically evaluating the fidelity of audio and video content. It utilizes programmable heuristics to scan titles for quality indicators (like '4K' or 'Pro Shot') while integrating with tools like FFmpeg and FFprobe to analyze technical metadata including resolution, bitrates, and codecs. By implementing weighted scoring models and dynamic thresholding, this skill enables AI agents to make objective, data-driven decisions during media curation and library management, ensuring only content meeting specific quality standards is processed or stored.