pymc-bayesian-modeling
Pass
Audited by Gen Agent Trust Hub on Mar 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill uses established scientific computing libraries including PyMC, ArviZ, and NumPy for probabilistic programming. No malicious code patterns, unauthorized network access, or credential exposure were found.
- [PROMPT_INJECTION]: The skill demonstrates an inherent surface for indirect prompt injection as it processes user-provided datasets. Ingestion points: Variables X and y in data preparation sections. Boundary markers: None specified in the templates. Capability inventory: Use of PyMC for model fitting and runtime compilation, and local script execution for diagnostics. Sanitization: Input data validation is not explicitly defined in the provided snippets.
Audit Metadata