Data Visualization
Pass
Audited by Gen Agent Trust Hub on Mar 4, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No security issues were identified during the analysis of this skill. It demonstrates legitimate data visualization techniques using trusted libraries.
- [SAFE]: The Python code uses standard data science packages (pandas, numpy, matplotlib, seaborn, scipy) to generate and display plots from synthetically generated data.
- [SAFE]: No network access, file system manipulation, or credential handling was found in the provided instructions or code.
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