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Show HN: OQP – A verification protocol for AI agents
As AI agents autonomously write and deploy code, there's no standard for verifying that what they shipped actually satisfies business requirements. OQP is an attempt to define that standard.<p>It's MCP-compatible and defines four core endpoints: - GET /capabilities — what can this agent verify? - GET /context/workflows — what are the business rules for this workflow? - POST /verification/execute — run a verification workflow - POST /verification/assess-risk — what is the risk of this change?<p>The analogy we keep coming back to: what OpenAPI did for REST APIs, OQP does for agentic software verification.<p>Early contributors include Philip Lew (XBOSoft) and Benjamin Young (W3C JSON-LD Working Group). Looking for feedback from engineers building on top of MCP, agent orchestration frameworks, or anyone who has felt the pain of "the agent shipped something wrong and we had no way to catch it."<p>Repo: github.com/OranproAi/open-qa-protocol
OQP addresses the critical 'trust gap' in autonomous AI agents by proposing a standardized verification protocol, a necessary infrastructure layer for the agentic era. The team's background in W3C standards and QA is a strong fit for a protocol play, though the project is in its infancy and faces the significant challenge of achieving industry-wide adoption.