tooluniverse-statistical-modeling

Pass

Audited by Gen Agent Trust Hub on Jul 30, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious patterns or security vulnerabilities were identified. The skill correctly follows security best practices by recommending the use of environment files for secret management and focusing on computational analysis using trusted libraries.
  • [COMMAND_EXECUTION]: The skill utilizes the statsmodels formula API (e.g., smf.ols('outcome ~ predictor')). This is a standard domain-specific language for statistical modeling and is used as intended for mathematical analysis.
  • [EXTERNAL_DOWNLOADS]: The skill references several Python packages (statsmodels, scikit-learn, lifelines, pandas, numpy, scipy) which are well-known, established libraries in the scientific computing ecosystem. It also documents the use of platform-integrated tools for retrieving clinical and genomic data for analysis.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 30, 2026, 03:10 AM