condition-based-waiting — agentic threat model
This is a low-risk, open-source testing utility designed to improve test reliability through condition polling. The primary security risks are limited to test-environment denial of service or code injection if the instruction-driven patterns are maliciously manipulated.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.10 |
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 listing describes a testing skill/pattern rather than a specific foundation model, but model reprogramming or prompt injection could alter the polling instructions to cause infinite loops or bypass tests.
Not certain from the listing — No dedicated data operations or vector stores are mentioned; it operates on test code/instructions.
This skill integrates into agent frameworks to guide testing patterns. Threat: Insecure tool integration or framework vulnerabilities if the polling mechanism executes arbitrary code or shell commands to check conditions.
Not certain from the listing — The deployment environment is not specified, but running these tests requires a sandboxed CI/CD or test execution environment to prevent host compromise.
Not certain from the listing — No built-in observability or evaluation guardrails are mentioned for this skill.
Not certain from the listing — No compliance, identity, or authorization controls are specified for this open-source community skill.
Not certain from the listing — No multi-agent or marketplace interactions are described, though as a community skill, supply chain compromise of the skill itself is a risk.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).