statistical-analysis
Pass
Audited by Gen Agent Trust Hub on Jun 20, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill utilizes well-established and trusted Python libraries for scientific computing, including NumPy, Pandas, SciPy, and Statsmodels. No unverified or suspicious dependencies were found.
- [SAFE]: The core logic in
scripts/assumption_checks.pyis dedicated to mathematical calculations and data visualization (e.g., normality tests, outlier detection). It contains no calls to the shell, file system writes, or network-bound operations. - [SAFE]: Analysis of all documentation and instructions confirms the absence of prompt injection attempts, credential harvesting, or obfuscated payloads.
- [SAFE]: External references point exclusively to legitimate academic standards and official documentation for statistical methodologies.
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