pymc-bayesian-modeling
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- SAFE (SAFE): No security issues detected. The script uses reputable scientific libraries (PyMC, ArviZ, NumPy, Pandas, Matplotlib) for statistical modeling.\n
- Data Handling: The script processes data locally and generates synthetic data for demonstration. It does not access sensitive system files or environment variables.\n
- Network Activity: No network operations or external data exfiltration patterns were found.\n
- Code Execution: The script does not contain dynamic code execution (eval, exec) or suspicious subprocess calls.\n
- File System: File operations are limited to saving model results and visualizations in the local directory using standard formats (.nc, .csv, .png).
Audit Metadata