statistical-analysis
Pass
Audited by Gen Agent Trust Hub on Mar 3, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADS
Full Analysis
- [SAFE]: The skill's functionality is consistent with its stated purpose of facilitating research-oriented statistical analysis. No malicious patterns, prompt injections, or unauthorized data access mechanisms were found in the instructions or the assumption checking scripts.
- [EXTERNAL_DOWNLOADS]: The skill references several standard, well-known scientific libraries from the Python ecosystem, including numpy, pandas, scipy, matplotlib, seaborn, pingouin, statsmodels, pymc, arviz, and scikit-learn. These dependencies are legitimate tools for statistical computation and data visualization.
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