alterlab-abm-mesa
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns or security risks were identified. The skill adheres to legitimate modeling practices.
- [EXTERNAL_DOWNLOADS]: The skill correctly specifies dependencies on the well-known and trusted 'mesa' and 'networkx' Python packages, as well as 'solara' for visualization. These are standard tools in the agent-based modeling community.
- [COMMAND_EXECUTION]: The skill provides examples for running simulation scripts using 'uv run python', which is a recommended practice for managing Python environments safely and reproducibly.
- [REMOTE_CODE_EXECUTION]: The code templates provided for agent behavior and model scheduling (e.g., shuffle_do) are standard library operations for Mesa and do not involve executing untrusted or remote code.
- [INDIRECT_PROMPT_INJECTION]: While the skill transforms user modeling requests into code, it does not ingest untrusted data from external network sources or APIs during runtime, significantly limiting the surface for indirect injection attacks.
Audit Metadata