solo-dev — agentic threat model
The solo-dev agent presents a high-risk profile due to its ability to autonomously read and modify the local working tree and execute development workflows, meaning a compromise could lead to direct arbitrary code execution or supply chain injection.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.50 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
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 (Anthropic Claude models) as its foundation. Threats include prompt injection bypassing system instructions to execute malicious commands on the local working tree.
Operates directly on the local working tree. Risks include unauthorized reading of sensitive local files, source code exfiltration, or poisoning of the codebase via malicious inputs.
Uses planning, implementing, and reviewing agents to automate the dev loop. Vulnerable to tool misuse where the agent is manipulated into executing destructive file modifications or shell commands.
Not certain from the listing — runs locally as a Claude Code plugin. If executed without containerization or sandboxing, a compromise allows direct host-level privilege escalation and lateral movement.
Not certain from the listing — no built-in logging, guardrails, or anomaly detection are mentioned. Blind spots in monitoring could allow malicious code modifications to go unnoticed.
Not certain from the listing — lacks explicit mention of access controls, audit logging, or policy enforcement. Relies entirely on the user's local environment security.
Bundles multiple sub-agents (planning, implementing, reviewing). Risks include cascading failures or trust abuse where a compromised planning agent misleads the implementing agent.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).