The Agent Skills Directory

[SAFE]: The skill serves as a technical reference and utility for the industry-standard scikit-learn library. All documentation and code snippets align with standard data science practices.
[SAFE]: Dependencies listed (scikit-learn, pandas, numpy, matplotlib, seaborn, imbalanced-learn, category-encoders, umap-learn) are well-known, legitimate packages in the Python ecosystem.
[SAFE]: No evidence of prompt injection, obfuscation, or persistence mechanisms was found in the skill metadata or content.
[SAFE]: The skill code does not perform any network operations or access sensitive system files. File system operations are limited to saving visualization results as images (e.g., 'clustering_results.png').
[SAFE]: While the documentation mentions 'pickle' and 'joblib' for model persistence (which can be risky if loading untrusted files), this is presented in the context of standard library usage and does not constitute a malicious implementation.

scikit-learn