matplotlib
Pass
Audited by Gen Agent Trust Hub on Jun 26, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides comprehensive educational content and reference materials for Matplotlib, focusing on legitimate data visualization workflows.
- [SAFE]: No instances of prompt injection, obfuscation, or persistence mechanisms were found across the instructions or scripts.
- [SAFE]: The included Python scripts (
plot_template.pyandstyle_configurator.py) rely on well-known scientific libraries (numpy, matplotlib, scipy) and do not perform any unauthorized network communications or sensitive file access. - [SAFE]: All external URLs point to official Matplotlib documentation or GitHub repositories, which are recognized as well-known and trusted technology services.
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