scikit-video

Pass

Audited by Gen Agent Trust Hub on Sep 16, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill serves as a comprehensive guide for the scikit-video library, focusing on NumPy-based video processing, motion estimation, and quality metrics.
  • [SAFE]: All external links provided, including the official documentation at scikit-video.org and the GitHub repository at github.com/scikit-video/scikit-video, point to the official and well-known resources for this project.
  • [SAFE]: The installation instructions utilize standard package management (pip install scikit-video) for a recognized scientific library.
  • [SAFE]: The code samples demonstrate legitimate library usage, such as reading video frames into NumPy arrays and calculating motion vectors, without attempting sensitive file access or unauthorized network communication.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 16, 2026, 04:41 PM