multiclass-classification
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate instructions and code templates for building machine learning models. The logic focuses entirely on data science workflows, including model training, evaluation metrics (F1 macro/micro), and SHAP-based explanations. No malicious patterns, such as command injection, exfiltration, or persistence mechanisms, were detected.
- [EXTERNAL_DOWNLOADS]: The
scripts/demo.pyfile declares standard dependencies via a PEP 723 metadata block. The listed packages (xgboost, scikit-learn, shap, pandas, numpy, matplotlib, and marimo) are well-known, industry-standard libraries for data science and are expected in this context.
Audit Metadata