molfeat-molecular-featurization

Pass

Audited by Gen Agent Trust Hub on Sep 18, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill utilizes the legitimate molfeat library for molecular featurization, which is a standard tool in the cheminformatics community. All library functions and examples provided are consistent with its official documentation.
  • [SAFE]: Installation instructions use uv pip install molfeat and official extras, pointing to valid packages on PyPI. There are no signs of typosquatting or malicious dependencies.
  • [SAFE]: External references to datamol.io and associated GitHub repositories are authentic and belong to the primary developers of the library.
  • [SAFE]: Network operations are confined to downloading model weights through the library's official ModelStore API, which is a necessary and documented feature for the skill's purpose.
  • [SAFE]: The skill processes molecular SMILES data through its transformer interface, with sanitization implicitly managed by the underlying chemical parsing logic which validates molecular structures.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 18, 2026, 12:55 AM