matplotlib
Pass
Audited by Gen Agent Trust Hub on Nov 6, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides comprehensive documentation and templates for the Matplotlib visualization library. All code samples and scripts follow best practices for scientific plotting and do not perform any sensitive operations, network requests to untrusted domains, or file system modifications outside of the intended scope (saving plots or configuration files).
- [COMMAND_EXECUTION]: The provided scripts (
plot_template.pyandstyle_configurator.py) use standard argument parsing viaargparseto handle user input. This input is used locally to toggle plot types, set styles, and define output file paths for generated visualizations or configuration files. No dangerous command injection vulnerabilities are present. - [DYNAMIC_EXECUTION]: The
style_configurator.pyscript usesplt.rcParams.update()to modify Matplotlib's global configuration based on user-selected presets. While this dynamically modifies the plotting environment, it is a standard and safe use of the library's API for styling purposes. - [DATA_EXPOSURE]: The skill documents how to save figures in various formats (PNG, PDF, SVG) and how to export style configurations. These operations are performed on the local filesystem and do not involve sensitive data exposure or exfiltration.
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