feature-planning — agentic threat model
The feature-planning agent poses a moderate indirect risk; while it lacks direct execution capabilities, a compromise could lead to the injection of malicious tasks into development plans, which downstream developers or automated agents might execute.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.50 | |
| 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 — The underlying LLM is not specified. Standard LLM threats like prompt injection (manipulating the generated plan to include malicious tasks) or misaligned outputs apply.
Not certain from the listing — No details on vector stores or RAG. If it ingests local codebase context, there is a risk of data exfiltration or poisoning via malicious codebase comments.
The agent is an engineering-workflow plugin focusing on planning. Framework risks include insecure tool integration if the output plan is automatically fed into code-generation agents without validation.
Not certain from the listing — Hosted as a community plugin, but deployment environment (sandbox, local, cloud) is unspecified.
Not certain from the listing — No mention of logging, guardrails, or evaluation metrics to detect if the generated plans contain malicious or unsafe tasks.
Not certain from the listing — No mention of authentication, authorization, or compliance controls for accessing sensitive feature requests or codebases.
This is a 'Community Agent Skill' / 'plugin', indicating it operates within a larger agent ecosystem (engineering workflow). Threats include cascading failures if other agents (e.g., code-writing agents) consume its malicious or flawed plans.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).