Yourgoal — agentic threat model
Yourgoal is an autonomous task-planning agent based on BabyAGI, presenting high agentic risk due to its self-directed execution loop, which lacks built-in guardrails and can easily be hijacked via prompt injection.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.90 | |
| Self-Modification | 0.40 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.60 |
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 — likely relies on external LLM APIs (such as OpenAI) integrated via Swift, exposing the system to prompt injection, model reprogramming, and API key theft.
Not certain from the listing — BabyAGI architectures typically utilize a vector database or local memory store to persist task history, which is vulnerable to context injection and data poisoning.
As a Swift implementation of BabyAGI, the core framework manages an autonomous task execution, creation, and prioritization loop, which is highly vulnerable to infinite loops, goal hijacking, and uncontrolled task proliferation.
Not certain from the listing — depending on whether this Swift application runs locally on iOS/macOS or on a server, infrastructure threats range from local sandbox escapes to insecure storage of API credentials.
Not certain from the listing — open-source ports of BabyAGI rarely include built-in guardrails, alignment checks, or structured logging, creating significant blind spots during autonomous execution loops.
Not certain from the listing — no security controls, compliance frameworks, or authorization policies are mentioned in this open-source repository.
Not certain from the listing — while BabyAGI operates primarily as a single-agent loop, any integration with external APIs or third-party tools could lead to cascading failures if those external systems are compromised.
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.