data-visualization

Pass

Audited by Gen Agent Trust Hub on Mar 12, 2026

Risk Level: SAFE
Full Analysis
  • [Standard Data Visualization Libraries]: The skill uses established and trusted Python libraries including matplotlib, seaborn, numpy, and scipy. These are industry-standard tools for data analysis and visualization.
  • [Headless Environment Configuration]: The skill correctly instructs the use of matplotlib.use('Agg') before importing pyplot, which is the standard procedure for generating plots in environments without a graphical user interface (headless GPU sandbox).
  • [Local File Operations]: Charts are saved and read from a designated /workspace/ directory. This is a common pattern for managing temporary assets in isolated compute environments and does not involve unauthorized file system access.
  • [No External Network Dependencies]: The skill does not perform any network operations, external downloads, or remote code execution. All operations are performed locally using provided data and standard libraries.
  • [Adherence to Visualization Best Practices]: The inclusion of colorblind-safe palettes and the prohibition of misleading chart types (like 3D plots) reflect a focus on producing accessible and accurate scientific charts.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 12, 2026, 11:27 PM