statistical-power
Pass
Audited by Gen Agent Trust Hub on Oct 27, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill relies on well-known and reputable scientific libraries including statsmodels, scipy, numpy, pandas, and matplotlib for its core statistical operations.\n- [SAFE]: Installation and setup instructions use standard package management tools to fetch dependencies from official public registries (PyPI).\n- [SAFE]: All statistical calculations and simulations are executed locally within the user's environment, with no identified network exfiltration or sensitive data access.\n- [SAFE]: Analysis of the Python scripts confirms the absence of dynamic code execution (e.g., eval, exec) or obfuscated content.\n- [SAFE]: No prompt injection attempts, persistence mechanisms, or privilege escalation patterns were found in the instructional content or metadata.
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