excalidraw-diagram — agentic threat model
The agent's primary risk stems from its use of a Playwright-based browser rendering loop and local file generation, which could be exploited for SSRF, local file disclosure, or arbitrary code execution if the execution environment is not strictly sandboxed.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.70 | |
| 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.
Not certain from the listing — relies on an underlying LLM to generate JSON and interpret visual feedback, making it susceptible to prompt injection or visual adversarial examples if rendering untrusted inputs.
Not certain from the listing — relies on local schema references and templates; no explicit RAG or vector database is mentioned, but local file manipulation of JSON templates is present.
The agent uses a Playwright-based render-and-verify loop (Python) to self-correct. Threats include insecure tool integration (Playwright execution) and potential tool misuse if the agent is coerced into rendering malicious HTML/JS or accessing unauthorized local files via Playwright.
The agent runs a Python script with Playwright (headless browser). This introduces a significant attack surface (browser execution, local file system access for saving/reading JSON and images). Sandboxing is critical here to prevent container escape or local file disclosure.
The agent has a built-in visual 'render-and-verify' loop to catch layout issues, but security-focused observability (logging of Playwright actions, guardrails against SSRF or local file access via the browser) is not mentioned.
Not certain from the listing — no explicit authentication, authorization, or compliance controls are mentioned for this open-source skill.
Not certain from the listing — designed as an individual skill, but could be integrated into multi-agent workflows. No native multi-agent coordination or marketplace trust mechanisms are described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).