nesting-optimization
Pass
Audited by Gen Agent Trust Hub on Mar 16, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [SAFE]: The skill provides comprehensive and legitimate algorithmic documentation for 2D nesting optimization. No patterns of prompt injection, data exfiltration, or obfuscation were identified.
- [EXTERNAL_DOWNLOADS]: The Python code samples utilize reputable, industry-standard libraries such as
numpy,shapely, andmatplotlibfor geometry calculations and data visualization. - [COMMAND_EXECUTION]: The visualization helper functions include capabilities to save image files to the local disk using
matplotlib, which is an expected and standard functionality for this type of engineering utility.
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