matplotlib
Pass
Audited by Gen Agent Trust Hub on Mar 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a legitimate technical resource for the Matplotlib visualization library.
- [EXTERNAL_DOWNLOADS]: The skill references standard documentation and license URLs on GitHub (matplotlib/matplotlib) and mentions the author's own platform (www.k-dense.ai). These are documented neutrally as they are well-known or vendor-specific resources.
- [COMMAND_EXECUTION]: The provided Python scripts (
plot_template.pyandstyle_configurator.py) utilize standard libraries likeargparseandmatplotlibto generate visualizations. No suspicious subprocess calls or arbitrary command executions were found. - [DATA_EXFILTRATION]: No evidence of sensitive data collection or unauthorized network transmission. The scripts focus on local file generation (e.g., saving PNG/PDF plots) as expected for a plotting library.
- [PROMPT_INJECTION]: Instructions are focused on library usage and do not contain patterns aimed at bypassing agent safety filters or overriding system instructions.
Audit Metadata