lr-modeling

Pass

Audited by Gen Agent Trust Hub on Jun 29, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill implements Logistic Regression modeling using established libraries such as scikit-learn and optbinning. The logic follows standard data science workflows for scorecard development.
  • [SAFE]: Data ingestion is limited to local files (CSV/Parquet) and output is directed to a user-specified or timestamped local directory. No unauthorized network operations or data exfiltration attempts were detected.
  • [SAFE]: Argument parsing and configuration handling are implemented using standard Python libraries (argparse, json). The use of pandas.query for data filtering is a standard feature for this type of tool and is used within its intended context.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 29, 2026, 06:40 AM
Security Audit — agent-trust-hub — lr-modeling