statistical-analysis
Pass
Audited by Gen Agent Trust Hub on Jun 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill utilizes industry-standard, well-known scientific Python libraries such as SciPy, Statsmodels, Pingouin, and PyMC for all statistical computations. These are established packages from public registries.
- [SAFE]: Functional scripts like
scripts/assumption_checks.pyimplement standard statistical algorithms (Shapiro-Wilk, Levene's test, IQR) for data validation. No dangerous operations like arbitrary code execution, subprocess spawning, or network communication were found. - [SAFE]: The skill instructions and reference materials are purely educational and focused on academic reporting standards (APA), showing no signs of prompt injection or malicious behavioral overrides.
- [SAFE]: Data ingestion is limited to standard data structures (Pandas DataFrames) for the purpose of mathematical analysis. There is no evidence of data exfiltration or credential harvesting.
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