bayesian-ab-testing
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides a standard and well-documented implementation of Bayesian A/B testing using established scientific libraries like PyMC, ArviZ, and marimo.
- [SAFE]: External dependencies are restricted to well-known, widely-used Python packages (numpy, pandas, pymc, arviz, matplotlib, scipy) and are defined within the script metadata of the provided demo script.
- [SAFE]: No network operations, credential handling, or unauthorized sensitive file access patterns were detected. Data processing is handled locally using standard data science tools.
Audit Metadata