inversion-exercise — agentic threat model
This agent is a low-risk, instruction-driven ideation tool focused on assumption inversion. It operates primarily as a stateless text-in, text-out utility with minimal agentic risk due to its lack of external tool access, persistent memory, or autonomous execution capabilities.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.30 |
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 threats like prompt injection could manipulate the inversion logic to generate biased, offensive, or unhelpful alternative scenarios.
Not certain from the listing — the description suggests a purely instruction-driven technique without dedicated RAG or vector databases. If data operations exist, they are limited to the user-provided prompt context.
The agent framework is minimal, acting as an instruction-driven ideation technique. There is no evidence of complex planning loops, tool calling, or stateful memory, reducing framework-level vulnerabilities to basic prompt-handling logic.
Not certain from the listing — deployment details are unspecified. As an open-source community skill, it likely runs within a host application's environment, inheriting that environment's sandboxing and infrastructure security posture.
Not certain from the listing — there are no mentioned evaluation, logging, or guardrail mechanisms to monitor the quality, safety, or alignment of the generated alternative scenarios.
Not certain from the listing — no security, compliance, identity management, or access control policies are defined for this open-source ideation skill.
The agent is described as a standalone 'community problem-solving skill' with no multi-agent orchestration, marketplace dependencies, or automated agent-to-agent interactions.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).