networkx
Pass
Audited by Gen Agent Trust Hub on Apr 15, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSDATA_EXFILTRATION
Full Analysis
- [SAFE]: The skill provides standard documentation and code snippets for using the NetworkX library for graph theory and network analysis. All instructions are consistent with the claimed functionality.- [EXTERNAL_DOWNLOADS]: References well-known and reputable Python packages including networkx, pandas, matplotlib, numpy, and scipy. It also points to the official NetworkX GitHub repository for further resources.- [DATA_EXFILTRATION]: Contains examples for reading and writing graph data using common file formats like GraphML, GML, and CSV. These operations are performed on generic local filenames and do not involve sensitive system directories, credentials, or unauthorized network transmission.
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