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, andnumpyto perform modeling and visualization. - [INDIRECT_PROMPT_INJECTION]: The skill identifies surfaces for ingesting untrusted data through functions like
pandas.read_csvandsksurv.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.
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