Godmode — agentic threat model
Godmode presents a high agentic risk profile due to its integration of highly autonomous frameworks like Auto-GPT and BabyAGI, which perform multi-step planning and tool execution. Without explicit sandboxing or guardrail details in the listing, the potential for unintended tool execution or infinite loops remains a significant concern.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.90 | |
| Self-Modification | 0.60 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.70 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.40 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.70 |
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.
Utilizes GPT-3.5 and GPT-4 as foundation models. Primary threats include prompt injection, adversarial reprogramming, and misaligned outputs that could hijack the autonomous agent's goal-planning loop.
Not certain from the listing — Godmode likely processes user-provided files or web search data for market analysis, but its exact vector database, RAG pipeline architecture, or data isolation mechanisms are not specified.
Integrates Auto-GPT and BabyAGI frameworks. These orchestrators are highly vulnerable to tool misuse, infinite execution loops, and memory poisoning if malicious inputs are ingested during web browsing or task execution.
Not certain from the listing — As a web-based platform running autonomous agents, secure sandboxing of agent execution environments is critical to prevent container escape or host compromise, but infrastructure details are not disclosed.
Not certain from the listing — The platform does not specify its logging, monitoring, or guardrail mechanisms for tracking autonomous agent steps or detecting anomalous behavior.
Not certain from the listing — No compliance certifications (e.g., SOC2, ISO) or enterprise-grade identity and access management controls are mentioned in the public directory.
Not certain from the listing — While it hosts autonomous agents, it is unclear if it supports multi-agent collaboration protocols or a third-party agent marketplace.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.