Astrolabe — agentic threat model
Astrolabe acts as a stateless routing proxy with low direct agentic autonomy, but its position as an intermediary handling API keys and model routing makes it a high-value target for traffic redirection, safety gate bypass, and credential theft.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.30 | |
| 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.
Astrolabe does not host foundation models but routes to external providers like OpenRouter. Threats include adversarial inputs designed to bypass its classification/safety gates or exploit downstream model vulnerabilities.
The proxy is explicitly stateless and does not use a database or vector store, minimizing data-at-rest risks, though it processes transient request/response payloads.
Orchestration is limited to fallback chains, policy-driven routing, and confidence self-check escalations. Vulnerabilities could allow attackers to manipulate routing logic or trigger infinite escalation loops.
As a lightweight proxy, it exposes a health endpoint and routing ports. Compromise of the hosting container or environment could expose sensitive upstream API keys (e.g., OpenRouter credentials).
Provides strong observability via structured logs, health endpoints, and routing metadata headers. Risks include log injection or evasion of the built-in safety gates.
Features policy-driven routing and safety gates, but the listing does not detail built-in authentication or authorization mechanisms for accessing the proxy itself.
Designed to integrate with OpenClaw and external model ecosystems. Failures in downstream providers can trigger fallback chains, potentially leading to cascading failures if misconfigured.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).