attack-tree-construction
Pass
Audited by Gen Agent Trust Hub on Mar 7, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a reference for building attack tree data models and visualizations. The Python code snippets are well-structured templates for calculating attack path metrics such as difficulty, cost, and detection risk.
- [SAFE]: A thorough review of the Python code confirmed that all imports (dataclasses, enum, typing, json) are part of the Python standard library. The code does not perform any sensitive operations, such as network requests, file system access, or command execution.
- [SAFE]: The external links provided in the resources section point to authoritative and reputable security organizations, specifically the MITRE ATT&CK framework, OWASP, and Bruce Schneier's research.
- [SAFE]: No malicious patterns related to prompt injection, obfuscation, data exfiltration, or persistence were found within the documentation or the code templates.
Audit Metadata