skills/ecnu-icalk/autoskill/Real Estate Data Analysis with Random Forest and Visualization/Gen Agent Trust Hub
Real Estate Data Analysis with Random Forest and Visualization
Pass
Audited by Gen Agent Trust Hub on Apr 14, 2026
Risk Level: SAFE
Full Analysis
- [COMMAND_EXECUTION]: The skill instructs the agent to create and run Python scripts for data analysis tasks including merging CSV files, performing Random Forest regression and classification, and generating visualizations. This behavior is consistent with the skill's stated purpose and role as a data scientist specialist.\n- [SAFE]: No specific malicious patterns or safety violations were detected. The skill's ingestion of external CSV data is documented below as part of the indirect prompt injection attack surface analysis:\n
- Ingestion points: Two user-supplied CSV files merged during the preprocessing phase as defined in the operational rules (SKILL.md).\n
- Boundary markers: None specified; the skill relies on standard CSV formatting.\n
- Capability inventory: Python code execution using standard data science libraries (pandas, scikit-learn, matplotlib, seaborn).\n
- Sanitization: Basic data preprocessing is performed, such as median imputation and dropping rows with missing target values, though no explicit security-focused sanitization is present.
Audit Metadata