data-visualization

Pass

Audited by Gen Agent Trust Hub on Sep 15, 2026

Risk Level: SAFE
Full Analysis
  • Standard Library Usage: The skill provides code snippets utilizing well-known and trusted Python libraries for data science and visualization, including matplotlib, seaborn, pandas, and plotly.
  • File System Operations: The provided templates include commands to save charts locally (e.g., plt.savefig() and fig.write_html()). This is the expected and intended behavior for a visualization skill and does not involve sensitive directories or network operations.
  • Static Code Templates: The instructions consist of static code patterns and design best practices without any dynamic execution, remote downloads, or obfuscated content.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 15, 2026, 01:57 PM
Security Audit — agent-trust-hub — data-visualization