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 PyTDC package and standard data science libraries like numpy, pandas, scikit-learn, and scipy, 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 the mims-harvard/TDC GitHub 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
Risk Level
SAFE
Analyzed
Oct 5, 2026, 10:01 PM