deepchem

Pass

Audited by Gen Agent Trust Hub on Apr 29, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides legitimate documentation and scripts for the DeepChem library, a standard tool in chemoinformatics and molecular machine learning.
  • [EXTERNAL_DOWNLOADS]: The skill references and downloads datasets and pretrained models from well-known, trusted sources including the official DeepChem MoleculeNet repository and Hugging Face. These operations are transparent and consistent with the skill's stated purpose.
  • [COMMAND_EXECUTION]: Python scripts utilize standard command-line argument parsing and DeepChem APIs for model training and evaluation. There is no evidence of arbitrary or dangerous command execution.
  • [DATA_EXFILTRATION]: Data handling is performed locally or through established scientific repositories. There are no patterns suggesting unauthorized data exfiltration or exposure of sensitive user information.
  • [PROMPT_INJECTION]: The instructions are technical and educational, focusing on ML workflows. No attempts were found to override agent instructions or bypass safety filters.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 29, 2026, 02:23 AM
Security Audit — agent-trust-hub — deepchem