pymc-bayesian-modeling
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE] (SAFE): The file is a legitimate Python template for data science tasks. It follows best practices for using PyMC and ArviZ for Bayesian modeling.
- [DATA_EXPOSURE] (SAFE): While the script saves plots and data files (PNG, CSV, NC) to the local filesystem, these are intended outputs for the user's analysis and do not involve sensitive path access or network exfiltration.
- [REMOTE_CODE_EXECUTION] (SAFE): No use of dangerous functions like eval(), exec(), or subprocess calls. The logic is restricted to mathematical computation and data visualization.
- [EXTERNAL_DOWNLOADS] (SAFE): No remote scripts or external packages are downloaded during runtime.
Audit Metadata