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nitro — agentic threat model

7.2AIVSS 7.2 · High

The Nitro agent skill poses a moderate downstream risk as a code-generation assistant; while it lacks direct production execution capabilities, vulnerabilities or malicious injections in its reference surface could lead to the generation of insecure server routes, weak caching policies, or compromised deployment configurations.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.3AARS uplift 0.85Factor sum 2.3/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.20
Goal-Driven Planning
0.30
Self-Modification
0.00
Dynamic Tool Use
0.20
Persistent Memory
0.10
Contextual Awareness
0.40
Dynamic Identity
0.00
Multi-Agent Interactions
0.20
Non-Determinism
0.50
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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The specific foundation models powering this Nitro skill are not disclosed. Threats include prompt injection or adversarial manipulation that could trick the model into generating insecure server routes or vulnerable deployment scripts.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The agent relies on a 'reference surface' (likely documentation or codebase embeddings of Nitro/Nuxt). If this reference data is poisoned or outdated, the agent will consistently generate insecure or deprecated code patterns.

L3 · Agent Frameworks✓ mapped

The agent framework orchestrates code generation based on Nitro configurations and deployment targets. Threats include insecure tool integration if the framework attempts to dry-run or validate the generated server code locally without isolation.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The hosting environment of the agent itself is unspecified. While it guides deployment to Node/Bun/Deno/Cloudflare/Vercel, the primary infrastructure risk lies in the developer's local environment if the agent executes code generation tools.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There are no mentioned guardrails, evaluation frameworks, or real-time monitoring tools to detect if the agent is generating malicious or highly vulnerable server configurations.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — No authentication, authorization, or compliance controls are detailed for accessing or modifying this open-source skill.

L7 · Agent Ecosystem✓ mapped

As an 'antfu skill', this agent operates within a broader developer ecosystem. A compromise of this skill could lead to cascading failures where other developer agents or automated pipelines ingest and deploy its insecurely generated server code.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).