frontend-design — agentic threat model
This agent skill is a low-risk, prompt-only guidance asset designed to steer CSS and layout generation. Its primary security risk is indirect, stemming from potential prompt injection that could lead to the generation of malicious CSS (e.g., CSS-based data exfiltration) if integrated into an un-sandboxed execution environment.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| 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.
The skill relies entirely on the underlying LLM to interpret and apply the design guidance. The primary threat is prompt injection or adversarial inputs that bypass the design rules or trick the model into generating malicious payload-carrying CSS/HTML.
Not certain from the listing — there are no data operations, RAG pipelines, or vector stores associated with this pure prompt-based guidance skill.
Not certain from the listing — this is a prompt-only skill and does not define its own orchestration framework, memory, or tool execution capabilities.
Not certain from the listing — no hosting, sandboxing, or infrastructure details are provided for this static guidance asset.
Not certain from the listing — there are no built-in guardrails, logging, or evaluation mechanisms described for this skill to detect drift or malicious output.
Not certain from the listing — no identity, authorization, policy enforcement, or compliance controls are specified for this open-source prompt asset.
Not certain from the listing — while it can be imported into other agents, there is no native multi-agent interaction or ecosystem registry security detailed.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).