scikit-learn
Pass
Audited by Gen Agent Trust Hub on Jun 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill consists of instructional material and example scripts for performing standard machine learning tasks with the scikit-learn library. Analysis across all threat categories indicates the skill follows best practices and does not include malicious patterns.
- [EXTERNAL_DOWNLOADS]: The skill includes instructions to install well-known and trusted Python packages such as
scikit-learn,pandas,numpy,matplotlib, andseabornusing theuvpackage manager from official registries. - [COMMAND_EXECUTION]: The skill documentation provides examples of how to execute the provided Python scripts (
scripts/classification_pipeline.pyandscripts/clustering_analysis.py). These scripts perform data analysis and visualization using local or synthetic datasets. - [DATA_EXFILTRATION]: No unauthorized data access or network-based exfiltration patterns were identified. The scripts operate on standard educational datasets (Iris, Breast Cancer) or programmatically generated data.
- [REMOTE_CODE_EXECUTION]: There is no evidence of remote code execution or scripts being downloaded from untrusted sources and executed.
- [PROMPT_INJECTION]: The skill instructions are focused on defining the agent's capabilities as a machine learning assistant and do not contain patterns intended to bypass safety filters or extract system prompts.
Audit Metadata