statistical-analysis
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements standard statistical workflows using reputable open-source libraries (SciPy, Pandas, Pingouin, Statsmodels, PyMC, and ArviZ).
- [SAFE]: Installation instructions use standard package management to fetch well-known scientific packages from official registries.
- [SAFE]: The bundled script
scripts/assumption_checks.pyperforms legitimate statistical validations (normality, homogeneity, outliers) using standard functions without suspicious side effects. - [SAFE]: Reference materials provide educational content on statistical standards and methods without embedded malicious instructions or deceptive metadata.
- [SAFE]: No evidence of data exfiltration, credential theft, obfuscation, or unauthorized persistence was found across the skill files.
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