executing-plans — agentic threat model
This agent presents a moderate-to-high risk profile due to its capability to execute and verify multi-step code changes, meaning a compromise could lead to unauthorized codebase modifications, though its built-in checkpoints offer some structural mitigation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.40 |
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 — The underlying LLM is not specified, but it is vulnerable to prompt injection that could alter the plan critique or execution steps.
Not certain from the listing — No details on vector stores or training data are provided; however, the plan file itself represents input data that could be poisoned.
The framework orchestrates sequential task execution and checkpoints. Vulnerabilities here include bypass of checkpoints or manipulation of the plan-loading logic.
Not certain from the listing — The hosting environment is unspecified, but executing code changes requires a highly secure sandbox to prevent host compromise.
Features 'completion reporting' and 'review checkpoints' which provide built-in observability, though these could be bypassed if the agent is compromised.
Not certain from the listing — No explicit compliance certifications or access controls are mentioned for managing code repository access.
Not certain from the listing — There is no mention of multi-agent interactions or marketplace integrations in this skill.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).