deepchem
Pass
Audited by Gen Agent Trust Hub on Jul 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill functions as a technical guide for the DeepChem library. All code examples and instructions align with standard practices for molecular machine learning and data science.
- [EXTERNAL_DOWNLOADS]: The skill references the auto-downloading of MoleculeNet benchmark datasets through
dc.molnet.load_*functions. These are well-known, established scientific datasets used for benchmarking molecular models. - [COMMAND_EXECUTION]: Instructions include standard package installation via
pip installfordeepchemand its common backend dependencies like PyTorch and TensorFlow. - [DATA_EXFILTRATION]: No suspicious network operations or unauthorized sensitive file access patterns were detected. Data handling is limited to local CSV/SDF files and reputable scientific repositories.
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