analytics-data-analysis
Pass
Audited by Gen Agent Trust Hub on Sep 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a guide for exploratory data analysis and visualization. It utilizes standard, well-known libraries like pandas, numpy, and seaborn for data processing.
- [SAFE]: No evidence of prompt injection, data exfiltration, or unauthorized command execution was found. The provided Python example demonstrates benign local file reading and plotting functions.
- [SAFE]: The technical requirements consist of reputable open-source packages commonly used in the data science community.
Audit Metadata