agent-teams — agentic threat model
This agent orchestrates parallel sub-agents with direct execution access to a local codebase, presenting a high-risk profile due to the potential for unauthorized code modification, execution, and cascading multi-agent failures.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.90 | |
| Self-Modification | 0.70 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 1.00 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.70 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — relies on Claude Code's underlying foundation models (likely Claude 3.5 Sonnet). Vulnerable to prompt injection that could hijack the code generation or debugging logic, leading to the introduction of malicious code into the repository.
Operates directly on the local codebase and working tree. Lack of explicit data sanitization or provenance checks means malicious files in the repository could poison the context window of the sub-agents during parallel reviews.
Orchestrates multi-agent teams for hypothesis-driven debugging and feature development. Vulnerable to tool misuse and insecure tool integration, as sub-agents can execute commands, modify files, and run tests across a broad execution surface.
Not certain from the listing — runs locally as a Claude Code plugin. If executed outside a secure sandbox or container, compromised sub-agents could achieve host compromise, privilege escalation, or lateral movement on the developer's machine.
Not certain from the listing — no built-in logging, guardrails, or anomaly detection mechanisms are described to monitor the parallel actions of spawned sub-agents, creating significant operational blind spots.
Not certain from the listing — lacks visible identity management, authorization policies, or audit trails to restrict what files or commands the sub-agents can access and execute within the workspace.
Spawns and coordinates multiple parallel sub-agents. Highly vulnerable to agent-to-agent trust abuse, where one compromised sub-agent can propagate malicious instructions or code modifications to other coordinating agents, causing cascading failures.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).