pymc
Pass
Audited by Gen Agent Trust Hub on Oct 24, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements standard scientific computing workflows using established libraries including PyMC, ArviZ, PyTensor, NumPy, and pandas.
- [SAFE]: Dependency management is handled through the
uvpackage manager with pinned versions for core libraries (PyMC 6.3.2, ArviZ 1.3.0, PyTensor 3.3.2), ensuring a reproducible and isolated execution environment. - [SAFE]: Data handling and storage operations are localized to the user's project directory for saving diagnostic reports, plots, and model artifacts (CSV, PNG, NetCDF, and NPZ formats).
- [SAFE]: Analysis of the Python scripts (
model_comparison.py,model_diagnostics.py, and templates) confirms that no unauthorized network communication, credential harvesting, or suspicious command execution is performed. - [SAFE]: No evidence of obfuscation, hardcoded credentials, or prompt injection was detected in the skill instructions or metadata.
Audit Metadata