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-videolibrary, focusing on NumPy-based video processing, motion estimation, and quality metrics. - [SAFE]: All external links provided, including the official documentation at
scikit-video.organd the GitHub repository atgithub.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