pytdc
Pass
Audited by Gen Agent Trust Hub on Oct 5, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a legitimate wrapper and documentation resource for the Therapeutics Data Commons (TDC) project, a well-known academic initiative for therapeutic machine learning.
- [SAFE]: External dependencies, including the core
PyTDCpackage and standard data science libraries likenumpy,pandas,scikit-learn, andscipy, are established and appropriate for the skill's stated purpose. - [SAFE]: All external links point to official and reputable project domains, including
tdcommons.ai,tdc.readthedocs.io, and themims-harvard/TDCGitHub repository. - [SAFE]: The included Python scripts are clean templates for data loading, splitting, and model evaluation, containing no malicious commands, persistence mechanisms, or data exfiltration patterns.
- [SAFE]: No obfuscation, prompt injection, or dynamic execution of untrusted code was identified.
Audit Metadata