multiclass-classification
Pass
Audited by Gen Agent Trust Hub on Apr 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill follows standard data science workflows using reputable libraries for tabular data analysis and visualization.
- [EXTERNAL_DOWNLOADS]: The skill references standard, well-known Python packages (scikit-learn, XGBoost, SHAP, etc.) available on official registries.
- [DATA_EXFILTRATION]: No network operations, sensitive file access, or credential harvesting patterns were found. Data processing is local to the agent environment.
- [PROMPT_INJECTION]: The instructions focus on technical implementation and do not contain patterns attempting to bypass safety filters or override agent constraints.
- [INDIRECT_PROMPT_INJECTION]: While the skill processes external tabular data (CSV/Parquet), it does not use dangerous capabilities like shell execution or network requests on the ingested content. Risk is minimal and consistent with standard data analysis tools.
Audit Metadata