matplotlib-scientific-plotting
Pass
Audited by Gen Agent Trust Hub on Sep 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is a legitimate documentation and template resource for scientific data visualization using Matplotlib.
- [SAFE]: All Python dependencies listed (
matplotlib,numpy,pandas,seaborn) are industry-standard, well-known libraries in the data science ecosystem. - [SAFE]: All code examples use standard Matplotlib and NumPy functions. File operations are limited to saving plot images (PNG, PDF, SVG) to the local directory, which is expected behavior for a plotting utility.
- [SAFE]: No network operations, credential access, obfuscation, or persistence mechanisms were detected in the instructions or scripts.
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