canvas-design — agentic threat model
The canvas-design agent presents a low-to-moderate risk profile, primarily acting as a static visual asset generator. Its main security vectors involve the rendering pipeline (PDF/PNG generation) and potential prompt injection leading to policy violations or copyright issues.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.70 | |
| 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 — likely uses Anthropic's Claude models given it is an official skill. Threats include prompt injection altering the design philosophy or generating inappropriate imagery despite the emphasis on original work.
Uses a bundled curated TTF font library and generates .md, .pdf, and .png artifacts. Threats include font file parsing vulnerabilities if the library can be modified, and potential data exfiltration via generated artifacts.
Uses a two-step 'design-philosophy then canvas-expression flow' to orchestrate the generation. Threats include logic bypass in the two-step flow, allowing direct execution of malicious canvas expressions or rendering engine exploits.
Not certain from the listing — the rendering of PDFs and PNGs from canvas expressions requires a rendering engine. If unsandboxed, this poses a risk of server-side resource exhaustion or local file read during PDF generation.
Not certain from the listing — no mention of built-in guardrails, logging, or evaluation metrics to detect malicious inputs or anomalous rendering behavior.
The listing explicitly mentions 'emphasizes original work to avoid copyright issues' as a compliance/policy control. However, there is no mention of authentication or authorization controls for accessing the skill.
Not certain from the listing — no explicit multi-agent or marketplace interactions are described, though as a 'skill' it may be integrated into broader agentic workflows.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).