before-you-build — agentic threat model
This agent acts as a low-risk advisory skill designed to run pre-mortem risk checklists. Because it lacks execution capabilities, direct tool access, or persistent state, its overall security risk posture is exceptionally low.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.20 |
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 an unspecified underlying foundation model. Standard LLM risks like prompt injection or misaligned outputs could cause the agent to generate flawed or misleading risk checklists.
Not certain from the listing — the agent does not explicitly mention a RAG pipeline or vector database. It likely operates purely on the user's immediate input context regarding their MVP or SaaS project.
The agent framework is structured as a simple 'Agent Skill' that guides planning and risk identification. It does not appear to execute code or call external tools, minimizing framework-level execution threats.
Not certain from the listing — deployment details are unspecified. As an open-source skill, its infrastructure security depends entirely on the host environment where the parent agent or framework is deployed.
Not certain from the listing — there are no mentioned evaluation, logging, or guardrail mechanisms to monitor the quality or safety of the generated pre-mortem recommendations.
Not certain from the listing — no identity, authorization, or compliance controls are described. However, because it only processes conceptual project descriptions, compliance risks are minimal.
Designed as an 'Agent Skill' to be injected into other workflows, meaning it may interact within a multi-agent ecosystem. If compromised, it could theoretically provide bad planning advice to downstream builder agents.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).