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, andseaborn. 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