ehr-analysis

Pass

Audited by Gen Agent Trust Hub on Apr 2, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill implements a standard research-oriented pipeline for clinical predictive modeling. All provided code snippets use the legitimate PyHealth library for its intended purpose of medical data analysis.
  • [SAFE]: No suspicious network activity, data exfiltration, or obfuscated code was detected. The instructions focus on local file operations on standard clinical datasets (e.g., MIMIC-III, MIMIC-IV) and provide appropriate environmental checks.
  • [SAFE]: The dependencies listed (PyHealth, PyTorch, and Pandas) are standard tools in the medical AI and data science communities, suitable for the skill's stated goals.
  • [SAFE]: The skill includes explicit security and quality checks, such as recommending patient-level splits to prevent data leakage and requiring calibration for clinical decision support outputs.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 2, 2026, 01:18 AM
Security Audit — agent-trust-hub — ehr-analysis