brainstorming — agentic threat model
This agent acts as a behavioral gatekeeper using prompt-based instructions to structure user intent before implementation. While it has low direct execution risk, its primary threat lies in prompt injection that could bypass the mandatory gate or steer downstream file modifications maliciously.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.40 |
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.
The agent relies entirely on prompt-based instructions (SKILL.md) to enforce its behavior. It is highly vulnerable to prompt injection, jailbreaking, and adversarial inputs that can bypass the 'HARD-GATE' or manipulate the elicitation process.
Not certain from the listing — there is no mention of dedicated vector databases, RAG pipelines, or training data operations. It likely operates purely on the active session context.
The agent orchestrates a 'one-question-at-a-time' dialogue and a 'design-and-approve' workflow. Vulnerabilities include state-machine bypasses where a user forces the agent to skip the gate and execute downstream file edits directly.
Not certain from the listing — the deployment environment, sandboxing of downstream file edits, and hosting infrastructure are not specified in this pure prompt/skill definition.
Not certain from the listing — there are no explicit evaluation, logging, or guardrail mechanisms mentioned to verify if the gate is successfully enforced or if the dialogue has been compromised.
The agent implements a design-and-approve workflow which acts as a manual Human-In-The-Loop (HITL) policy control, but this control is enforced via soft prompt instructions rather than hard system-level authorization.
As an open-source skill designed to steer downstream file edits, it could be integrated into broader multi-agent developer workflows, potentially propagating compromised design specifications to other builder agents.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).