skills/mukul975/anthropic-cybersecurity-skills/implementing-diamond-model-analysis/Gen Agent Trust Hub
implementing-diamond-model-analysis
Pass
Audited by Gen Agent Trust Hub on Apr 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements standard cybersecurity analysis frameworks using benign Python code and well-known libraries like networkx for graph-based correlation of intrusion events.- [DATA_EXFILTRATION]: Analysis of scripts/agent.py and scripts/process.py shows no network activity. Data is processed locally and output to the filesystem as requested by the user, with no evidence of credential harvesting or external transmission.- [COMMAND_EXECUTION]: No usage of os.system, subprocess, or other shell execution mechanisms was found in the provided scripts. All logic is performed within the Python runtime environment.- [SAFE]: The skill provides a surface for indirect prompt injection by processing external JSON data.
- Ingestion points: scripts/agent.py and scripts/process.py load JSON data via json.load.
- Boundary markers: None present in the data processing logic.
- Capability inventory: Local file I/O and graph processing; no network or shell access.
- Sanitization: Dataclass constructors implicitly validate keys during unpacking, preventing arbitrary attribute injection.
Audit Metadata