Media Quality Assessor
Automates media content evaluation using heuristic scoring for resolution, audio fidelity, and technical metadata.
The Quality Filtering skill provides a robust framework for Claude Code to automatically assess and curate media files. By implementing weighted scoring models for both title keywords and technical metadata—such as 4K resolution, lossless audio, and codec efficiency—it allows developers to build automated pipelines that reject low-quality recordings while prioritizing high-fidelity studio content. It includes post-download verification logic to detect audio clipping and video interlacing, ensuring only production-grade content passes through your curation workflow.
Características Principales
01Heuristic keyword scoring for title-based quality indicators
02Video artifact detection including interlacing and black bar detection
03146 GitHub stars
04Technical metadata extraction for resolution, bitrate, and codecs
05Post-download audio analysis for clipping and volume normalization
06Weighted scoring engine with dynamic threshold adjustments
Casos de Uso
01Automating the curation of large-scale music or video libraries
02Building pre-processing pipelines for AI media training datasets
03Standardizing quality control for multi-platform media deployment