data-exploration-visualization

Pass

Audited by Gen Agent Trust Hub on Sep 15, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: Verified code routines are cleanly constrained to standard mathematical, statistical, and plotting libraries including pandas, numpy, scikit-learn, xgboost, lightgbm, seaborn, and plotly.
  • [DYNAMIC_EXECUTION]: The Python __import__ analyzer logs structural checks for dependency loading inside quick_test.py and quick_start_example.py. The imports strictly process native or explicit technology stacks without external interpolation or dynamically injected remote inputs.
  • [DATA_EXFILTRATION]: No unrecognized external domains or remote storage endpoints are configured. File actions are localized solely to target logs, tabular configurations, generated plots, and local reporting models.
  • [PROMPT_INJECTION]: The system parameters, descriptions, and metadata maintain operational boundaries and lack instructions engineered to jailbreak, bypass safety thresholds, or capture contextual properties.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 15, 2026, 06:48 AM