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.py implement 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.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 13, 2026, 06:23 AM