python-regression-statistics

Pass

Audited by Gen Agent Trust Hub on Jul 2, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill is a well-structured collection of Python scripts and markdown guides for data science tasks. It follows industry standard practices for regression analysis, model diagnostics, and outlier detection.
  • [EXTERNAL_DOWNLOADS]: The documentation includes installation instructions for well-known and trusted Python packages such as statsmodels, scikit-learn, scipy, pandas, numpy, matplotlib, pyod, xgboost, lightgbm, and seaborn. These are standard tools in the data science ecosystem.
  • [COMMAND_EXECUTION]: All code examples demonstrate the use of legitimate data science APIs. There are no instances of arbitrary command execution, shell spawning, or unsafe subprocess calls.
  • [DATA_EXFILTRATION]: No evidence of data exfiltration was found. The skill focuses on local data processing and provides standard visualization and reporting patterns.
  • [PROMPT_INJECTION]: The instructions are focused on guiding the agent through statistical workflows and do not contain any attempts to override system behavior or bypass safety constraints.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 2, 2026, 02:12 PM
Security Audit — agent-trust-hub — python-regression-statistics