nuxt — agentic threat model
This agent is a passive code-generation skill/reference surface for the Nuxt framework, presenting low direct agentic risk but posing indirect security risks if it is poisoned to generate vulnerable web application code.
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 | 0.40 | |
| 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 — The underlying foundation model is not specified. However, the model using this skill is susceptible to adversarial prompt injections that could bypass the reference surface to generate malicious code.
Not certain from the listing — The skill serves as a reference dataset (RAG/context). If this reference surface is poisoned, the agent will systematically generate insecure Nuxt configurations, such as vulnerable SSR setups or flawed useFetch implementations.
Not certain from the listing — The orchestration framework is not detailed. There is a risk of insecure tool integration if the framework automatically executes or tests the generated Nuxt routes and middleware without sandboxing.
Not certain from the listing — No deployment infrastructure or sandboxing mechanisms are described. If the agent runs in an environment with access to local file systems, file-based routing generation could be abused to overwrite critical system files.
Not certain from the listing — There are no mentioned guardrails, evaluation metrics, or observability tools to detect when the agent generates insecure or anomalous code patterns.
Not certain from the listing — No identity, access management, or compliance controls are defined for the usage or modification of this open-source skill.
Not certain from the listing — Although part of the 'antfu' ecosystem, there is no explicit multi-agent coordination detailed, though supply-chain vulnerabilities could arise if this skill is pulled dynamically from an untrusted repository.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).