The Agent Skills Directory

[SAFE]: The skill provides standard documentation and code examples for scikit-learn and related data science libraries. No malicious patterns, obfuscation, or unauthorized data access were detected.
[DYNAMIC_EXECUTION]: The skill references joblib.load for model deserialization. This is a standard practice for machine learning model persistence, and in this context, it refers to loading locally generated artifacts.
[INDIRECT_PROMPT_INJECTION]: The skill describes processing tabular data features. As an instructional guide, it does not directly ingest untrusted external data, and it recommends standard data sanitization techniques like imputation and encoding. Ingestion points: tabular data features. Capabilities: local file reads and writes via joblib. Sanitization: data imputation and encoding.

scikit-learn