← artifact-design (frontend-design)
artifact-design (frontend-design) — agentic threat model
This agent skill is a low-risk, purely instructional system prompt extension designed to guide UI aesthetics. Because it lacks tool execution, persistent memory, and autonomous action, its security risk is minimal, primarily limited to prompt injection affecting design outputs.
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 | 0.30 | |
| 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.
Relies on Anthropic foundation models. Vulnerable to standard prompt injection or jailbreaking that could bypass the aesthetic guidelines or force the model to output malicious/offensive text within UI mockups.
Uses static reference material for design heuristics. Risk of data poisoning is low unless the source repository is compromised to inject malicious links or misleading design principles into the reference context.
The skill is implemented as injected instructional context rather than active orchestration code. There are no tool-calling or script-execution capabilities, minimizing framework-level execution threats.
Not certain from the listing — deployment infrastructure is not specified, but as a context-only skill, it inherits the hosting environment and sandboxing of the parent agent platform.
Not certain from the listing — there are no mentioned guardrails, logging, or observability mechanisms to monitor the output quality or detect adversarial manipulation of the design instructions.
Not certain from the listing — access controls, licensing compliance, and audit logging are not defined within this skill and must be managed by the parent application.
Designed as a modular 'Agent Skill' to be integrated into other agents. If integrated into a compromised multi-agent workflow, it could be used to generate deceptive UI layouts (phishing templates) or propagate malicious design patterns.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).