deepchem
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE] (SAFE): No security risks or malicious patterns were identified. The scripts implement standard machine learning workflows for chemistry.
- [DATA_HANDLING] (SAFE): The scripts process molecular data (SMILES) from local CSV files. This is consistent with the skill's stated purpose of molecular property prediction.
- [DYNAMIC_LOADING] (LOW): In
graph_neural_network.py, the script usesgetattrto dynamically select a dataset loader from thedeepchem.molnetmodule. This is safe as the input is validated against a hardcoded whitelist of supported datasets in the command-line interface.
Audit Metadata