agent-qa-gatesOutput validation gates for AI agent systems. Prevents hallucinated data, leaked internal context, wrong formats, duplicate sends, post-compaction drift, and...
Install via ClawdBot CLI:
clawdbot install zurbrick/agent-qa-gatesGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
A customer support AI agent generates email responses to user inquiries. The QA gates ensure no internal data like ticket IDs or agent notes are leaked, verify all dates and metrics are sourced from the CRM, and check that responses fit email length limits to prevent truncation.
An AI agent compiles quarterly financial reports for external clients. The gates block hallucinated revenue figures by requiring tool-call verification, prevent duplicate sends by checking recent outputs, and ensure a professional tone with key insights in the first two lines for readability.
An AI agent creates patient care summaries for doctors. The gates enforce privacy by blocking any leaked internal context like staff notes, validate all medical data against electronic health records to avoid errors, and format outputs with clear action steps for treatment follow-ups.
An AI agent schedules social media posts across platforms. The gates verify post content fits each channel's character limits, deduplicate identical sends to prevent spam, and check for internal campaign data leaks before publishing externally.
An AI agent generates system alerts from monitoring tools. The gates ensure binary output with only alert text or status-OK, verify metrics from current-session tool calls to avoid stale data, and set explicit timeouts for scheduled checks to prevent failures.
Offer the QA gates as a modular add-on for existing AI agent platforms, charging a subscription fee per agent or usage tier. This model targets businesses building custom agents, providing automated validation to reduce operational risks and support costs.
Provide tailored implementation of the QA gates for enterprises with complex agent systems, including custom protocol gates and integration support. Revenue comes from project-based fees and ongoing maintenance contracts, focusing on high-risk industries like finance or healthcare.
Release the basic QA gates as open-source to build community adoption, then monetize through premium features like advanced analytics, automated gate evolution, and enterprise support. This model attracts developers and scales with organizational needs.
💬 Integration Tip
Start by integrating the Pre-Ship Checklist into your agent's output pipeline, then add protocol gates based on your top failure logs to automate common checks.
Scored Jun 19, 2026
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