The Agent Skills Directory

[SAFE]: The skill implements a standard machine learning pipeline. Files like core_regression.py and feature_engineering.py utilize well-known libraries for data preprocessing, feature extraction, and model training without any suspicious side effects.
[EXTERNAL_DOWNLOADS]: The requirements.txt file specifies standard, trusted dependencies for scientific computing and data visualization, including pandas, numpy, scikit-learn, matplotlib, seaborn, and scipy. No non-standard or untrusted external sources were found.
[PROMPT_INJECTION]: Analysis of SKILL.md and README.md shows no attempts to bypass safety guardrails, override agent instructions, or extract system prompts. The instructions are focused on guiding the agent through the data analysis workflow.
[DATA_EXFILTRATION]: There are no hardcoded credentials, sensitive file path accesses, or unauthorized network operations. The skill processes data locally and generates report files within the working directory.
[COMMAND_EXECUTION]: While the skill definition allows the Bash tool, it is not used by the script files for executing arbitrary commands or shell-based remote code execution.

regression-analysis-modeling