soc-social-network
Pass
Audited by Gen Agent Trust Hub on Sep 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves an educational and analytical purpose, providing frameworks for social science research.
- [COMMAND_EXECUTION]: The skill includes Python code snippets for data processing using the 'networkx' library. These scripts are transparent implementations of graph theory algorithms for calculating centrality and brokerage.
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process external data sources like CSV files and email archives. 1. Ingestion points: 'references/network-tools.md' (CSV edge lists, mbox files). 2. Boundary markers: Absent. 3. Capability inventory: Python file reading and metric computation. 4. Sanitization: The skill provides clear textual warnings and best practices regarding data anonymization and privacy.
- [SAFE]: Local file access to email archives ('inbox.mbox') is presented as a functional example for user-initiated analysis, accompanied by explicit instructions on how to protect sensitive information.
Audit Metadata