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rag-implementation — agentic threat model

6.7AIVSS 6.7 · Medium

This agent skill provides architectural patterns for RAG pipelines, presenting low direct runtime risk but posing downstream security risks if the injected code patterns lack robust input validation, access controls, or secure vector DB configurations.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.3AARS uplift 0.44Factor sum 1.2/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.10
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.20
Contextual Awareness
0.30
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.20
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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The listing does not specify which foundation models are used to execute these RAG patterns, but any underlying model will be susceptible to prompt injection and adversarial manipulation of the grounding context.

L2 · Data Operations✓ mapped

The skill directly manages vector DB retrieval, chunking, embedding, and semantic search. Key threats include vector database poisoning, embedding inversion, and unauthorized data retrieval if access controls are not implemented in the generated patterns.

L3 · Agent Frameworks✓ mapped

The skill injects architecture and code patterns for document Q&A. If these patterns lack input validation, they could lead to insecure tool integration or framework-level vulnerabilities when parsing retrieved chunks.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The deployment environment (hosting, sandboxing, secrets management for Vector DB API keys) is not specified in this skill template and must be secured externally.

L5 · Evaluation & Observability✓ mapped

The skill focuses on hallucination reduction and source citation, which are key to evaluation, but does not explicitly detail logging, drift detection, or guardrails for the pipeline.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — There is no mention of built-in identity, authorization, or compliance controls (like RBAC for document access) within the described RAG patterns.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The skill is designed for single-agent document Q&A and does not describe multi-agent interactions or marketplace integrations.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).