data-visualization
Pass
Audited by Gen Agent Trust Hub on Mar 19, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill uses established and well-known libraries (pandas, matplotlib, seaborn, plotly) to provide data visualization capabilities. All code examples demonstrate standard analytical workflows.
- [PROMPT_INJECTION]: The skill processes data from external CSV files, which is an inherent surface for indirect prompt injection. 1. Ingestion points:
pd.read_csv()calls for 'quarterly_sales.csv' and 'global_sales.csv' in SKILL.md. 2. Boundary markers: None present. 3. Capability inventory: Local file reading (pandas) and local file writing (matplotlib.pyplot.savefig, plotly.graph_objects.Figure.write_html). 4. Sanitization: No explicit data sanitization or validation is implemented in the visualization examples.
Audit Metadata