bayesian-mixture-models
Pass
Audited by Gen Agent Trust Hub on Apr 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill relies on industry-standard scientific libraries (PyMC, ArviZ, NumPy, Scipy, Scikit-learn) for Bayesian inference and data analysis.
- [SAFE]: The accompanying demo script is self-contained, generating synthetic data locally without performing network operations or accessing sensitive user files.
- [SAFE]: All code snippets and instructions are transparently documented with no evidence of obfuscation, hidden logic, or credential exposure.
- [SAFE]: The skill demonstrates safe execution practices by recommending the use of the marimo sandbox for its interactive notebook component.
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