scikit-learn

Pass

Audited by Gen Agent Trust Hub on Jun 14, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No security issues were detected. The skill follows standard practices for documenting machine learning workflows and uses well-known, reputable libraries.
  • [EXTERNAL_DOWNLOADS]: The skill instructions involve installing standard Python packages from official registries using the uv package manager. These include scikit-learn, pandas, numpy, matplotlib, seaborn, imbalanced-learn, category-encoders, and umap-learn.
  • [COMMAND_EXECUTION]: The provided scripts perform data analysis and visualization, such as saving plot images to the local file system, which are expected behaviors for data science tooling.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 14, 2026, 09:23 AM
Security Audit — agent-trust-hub — scikit-learn