scikit-survival

Pass

Audited by Gen Agent Trust Hub on Sep 25, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill acts as a documentation and implementation guide for survival analysis. All code examples utilize standard data science libraries such as scikit-survival, scikit-learn, pandas, and numpy to perform modeling and visualization.
  • [INDIRECT_PROMPT_INJECTION]: The skill identifies surfaces for ingesting untrusted data through functions like pandas.read_csv and sksurv.io.loadarff. However, since the skill's capabilities are limited to local data processing and model building without network access or sensitive system manipulation, the risk of indirect instruction execution is negligible.
  • [EXTERNAL_DOWNLOADS]: The skill references official project URLs for documentation and source code (e.g., GitHub and ReadTheDocs). These references target well-known, legitimate resources and do not involve untrusted remote execution.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 25, 2026, 02:35 PM