statistical-analysis
Pass
Audited by Gen Agent Trust Hub on Jun 30, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides a well-structured environment for statistical research. All core functionalities are handled by reputable open-source Python libraries such as pingouin, scipy, statsmodels, and pymc.
- [SAFE]: The included script 'scripts/assumption_checks.py' performs standard data validation tasks like normality testing and outlier detection using numpy and scipy. No dangerous operations such as arbitrary code execution, network exfiltration, or persistence mechanisms were detected.
- [SAFE]: The documentation focuses on academic reporting standards (APA) and best practices for research, demonstrating clear and benign intent.
- [SAFE]: No obfuscation, hidden URLs, or prompt injection patterns were found across the skill files.
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