graph-query (AI Maestro) — agentic threat model
The graph-query skill presents a moderate risk profile, primarily acting as an informational tool for codebase analysis. Its main hazards stem from potential IP exposure of local codebases and the risk of generating misleading blast-radius assessments that could lead other agents to perform destructive modifications.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.60 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.30 |
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 the underlying AI Maestro orchestrator's configured LLM; threats include prompt injection altering query generation or reasoning about blast radius.
Accesses indexed codebase metadata and relationships via a local graph database; threats include codebase poisoning (malicious code structure tricking the graph) or unauthorized access to sensitive IP/code structures.
Integrates as a skill within AI Maestro; risks include insecure tool integration where graph queries could be manipulated to execute arbitrary database commands or return misleading dependency maps.
Runs locally on the developer's machine or local environment; threats include local privilege escalation if the tool executes arbitrary local commands, or unauthorized local file system access.
Not certain from the listing — no explicit mention of logging or guardrails for query execution; blind spots in query validation could allow malicious inputs to bypass checks.
Not certain from the listing — being an open-source local tool, it likely inherits the host system's permissions without independent access controls or audit logging.
Part of the AI Maestro suite (multi-agent/skill ecosystem); risks include cascading failures if another compromised agent consumes incorrect blast-radius analysis to make destructive code modifications.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).