deepchem
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- SAFE (SAFE): The scripts use the reputable
deepchemlibrary for scientific computing and molecular modeling. All operations are local or use standard library dataset fetching. - COMMAND_EXECUTION (SAFE): No arbitrary command execution or shell spawning was detected. Input parameters are handled via
argparsewith specific constraints and whitelists. - DATA_EXFILTRATION (SAFE): Data loading is restricted to local files provided by the user or standard benchmark datasets. There are no patterns suggesting exfiltration of sensitive information.
- DYNAMIC_EXECUTION (SAFE): The use of
getattringraph_neural_network.pyis safely constrained by a predefined whitelist of allowed dataset names, preventing arbitrary function execution.
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