Banana Prompts — agentic threat model
Banana Prompts is a low-risk, curated prompt gallery with minimal agentic capabilities, presenting negligible operational risk beyond standard web application vulnerabilities.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.10 |
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 — The platform acts as a curated prompt gallery rather than an active LLM orchestrator, though underlying models may be used to generate or refine the curated prompts.
Not certain from the listing — The prompt database is curated, but details regarding the storage, vector databases, or RAG pipelines used to serve these prompts are not specified.
Not certain from the listing — There is no evidence of an active agentic framework, planning capabilities, or tool-calling mechanisms in this static inspiration gallery.
Not certain from the listing — Hosting and infrastructure details are omitted, though standard web application vulnerabilities (e.g., XSS, defacement) represent the primary threat vector.
Not certain from the listing — No evaluation, observability, or prompt-filtering guardrails are mentioned for monitoring user searches or prompt curation.
Not certain from the listing — Compliance frameworks, access controls, and user authentication mechanisms are not detailed in the public directory.
Not certain from the listing — The gallery operates as a standalone resource for Nano Banana users with no multi-agent or marketplace integrations described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).