scikit-learn

Pass

Audited by Gen Agent Trust Hub on Oct 27, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill follows established best practices for machine learning development. The provided scripts and markdown files focus on legitimate use of the scikit-learn library, including data preprocessing, model evaluation, and pipeline construction.
  • [SAFE]: No malicious command execution or unauthorized file access was detected. The Bash and Write tools permitted in the frontmatter are correctly scoped to the skill's primary purpose of running Python scripts and saving visualization outputs (PNG files) to the local directory.
  • [SAFE]: External references and dependencies (scikit-learn, pandas, matplotlib) are well-known, trusted packages from official registries. The arXiv citation and documentation links point to legitimate academic and technical resources.
  • [SAFE]: The skill correctly implements security best practices by explicitly warning users about the risks of pickle and joblib when loading untrusted model artifacts.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 27, 2026, 10:44 PM