data-visualization
Pass
Audited by Gen Agent Trust Hub on Mar 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill utilizes standard, well-known Python libraries (matplotlib, seaborn, pandas, numpy, plotly) for their intended purposes of data analysis and visualization.\n- [SAFE]: All code snippets for generating and saving charts (e.g., using
plt.savefigandfig.write_html) are benign and only interact with local filenames.\n- [SAFE]: No network operations, credential handling, or remote code execution patterns were detected within the skill content.\n- [SAFE]: The instructions focus strictly on visualization principles and design, with no evidence of prompt injection or obfuscation attempts.
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