scikit-survival-analysis

Pass

Audited by Gen Agent Trust Hub on May 6, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides instructional content and code snippets for using the legitimate 'scikit-survival' library. All code samples involve standard data science operations such as data loading from local files, statistical modeling, and plotting results.
  • [SAFE]: All listed dependencies (scikit-survival, scikit-learn, pandas, numpy, matplotlib, scipy, joblib, osqp) are well-known, reputable packages from the official Python Package Index (PyPI).
  • [SAFE]: No evidence of prompt injection, data exfiltration, obfuscation, or unauthorized command execution was found in the instructions or the referenced files.
Audit Metadata
Risk Level
SAFE
Analyzed
May 6, 2026, 01:45 AM
Security Audit — agent-trust-hub — scikit-survival-analysis