data-visualization
Pass
Audited by Gen Agent Trust Hub on Feb 27, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill consists entirely of educational content and Python code snippets for data visualization using well-known libraries (Matplotlib, Seaborn, Pandas, NumPy, PIL).
- [SAFE]: No suspicious network operations, credential exposures, or obfuscation techniques were detected.
- [SAFE]: File operations are limited to standard plotting tasks such as saving figures (plt.savefig) and basic image resizing (PIL.Image.save) to accommodate API constraints.
- [SAFE]: The 'Edit' tool calls described in the iTOL section are documented as strategies for bulk-updating configuration files and do not exhibit malicious intent or unsafe execution patterns.
Audit Metadata