web-asset-generator — agentic threat model
The web-asset-generator agent poses moderate risk due to its ability to execute bundled scripts and perform framework auto-integration on local filesystems, which could be exploited for arbitrary code execution if malicious inputs bypass validation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.30 |
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 — relies on unspecified foundation models for emoji suggestions and asset generation. Vulnerable to prompt injection that could alter asset metadata or generate inappropriate content.
Not certain from the listing — likely processes local image files, logos, and text inputs without a dedicated vector database. Risks include processing malicious image payloads designed to exploit parser vulnerabilities.
The agent uses bundled scripts to generate image files and wire them into target frameworks. This presents a high risk of insecure tool integration, where malicious inputs could lead to path traversal or arbitrary script execution during framework integration.
Not certain from the listing — as an open-source community skill, deployment is likely local or self-hosted. Lacks sandboxing guarantees, meaning compromised scripts could access the host filesystem and framework directories.
Not certain from the listing — no built-in observability, logging, or guardrails are mentioned to monitor script execution or validate generated asset integrity.
Not certain from the listing — lacks explicit authentication, authorization, or compliance controls. Relies entirely on the security posture of the host environment running the scripts.
Operates as a standalone community skill. No multi-agent coordination or marketplace interactions are described, limiting ecosystem-level cascading risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).