segment-modeling
Pass
Audited by Gen Agent Trust Hub on Jun 29, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill uses industry-standard libraries including pandas, scikit-learn, and XGBoost to implement its core modeling functionality. No malicious behaviors such as data exfiltration or unauthorized network access were found.
- [SAFE]: Data ingestion is limited to local file system access for Parquet and CSV files as specified by user arguments. The skill includes robust validation for file existence and supported formats.
- [SAFE]: The implementation of rule-based segmentation uses
pandas.DataFrame.eval()andpandas.DataFrame.query(). While these functions execute string expressions, they are used here in a legitimate context to allow users to define flexible data filtering rules, which is consistent with the skill's purpose as an analytical tool.
Audit Metadata