claude-d3js-skill — agentic threat model
The agent is a low-risk code-generation skill with minimal autonomy, but poses a potential indirect risk of generating malicious or vulnerable d3.js code (such as Cross-Site Scripting) if prompt-injected or fed untrusted data.
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.
Relies on Claude as the foundation model. Primary threats include prompt injection that could force the model to generate malicious JavaScript (XSS) disguised as valid d3.js visualization code.
Not certain from the listing — No dedicated data operations, RAG, or vector stores are mentioned; it likely processes user-provided datasets in-context to generate d3.js data bindings.
Not certain from the listing — It is described as a 'skill' rather than a full framework, meaning orchestration, memory, and tool-calling are likely handled by the parent Claude platform.
Not certain from the listing — No hosting or sandboxing details are provided; the generated d3.js code is executed by the end-user, shifting execution risk to the client browser.
Not certain from the listing — No monitoring, logging, or guardrails are specified for validating the safety of the generated JavaScript code.
Not certain from the listing — Lacks explicit identity, authorization, or compliance controls, relying entirely on the host platform's security posture.
Not certain from the listing — No multi-agent interactions or marketplace integrations are described for this standalone visualization skill.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).