NYC

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 uses getattr to dynamically select a dataset loader from the deepchem.molnet module. This is safe as the input is validated against a hardcoded whitelist of supported datasets in the command-line interface.
Audit Metadata
Risk Level
SAFE
Analyzed
Feb 17, 2026, 05:58 PM