oa-quality-gates

Validate agent batch outputs with five quality checks.

4|Updated Feb 26, 2026

Search Tags:#error handling #validation #data integrity #agent orchestration #quality gate #batch processing

Ready to run

npx skills add https://github.com/OpenAEC-Foundation/Open-Agents --skill oa-quality-gates

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: oa-quality-gates
Source: https://github.com/OpenAEC-Foundation/Open-Agents/tree/main/.claude/skills/oa-quality-gates
Command: npx skills add https://github.com/OpenAEC-Foundation/Open-Agents --skill oa-quality-gates

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill prevents the propagation of errors by enforcing a mandatory 5-check quality gate after each agent batch, ensuring data integrity before proceeding.

Core Features & Use Cases

Automated Validation: Performs five critical checks (Count, Content, Format, Cross-reference, Size) on agent outputs.
Error Prevention: Identifies and flags issues like missing outputs, truncation, incorrect formatting, inconsistencies, and size violations.
Guided Remediation: Spawns specific fix-agents to correct identified errors, maintaining an audit trail.
Use Case: After a batch of agents generates documentation, this Skill verifies that all expected files were created, are complete and correctly formatted, and do not contradict each other, before allowing the project to move to the next stage.

Quick Start

Run the oa-quality-gates skill to validate the output of the last agent batch.

Frequently Asked Questions about oa-quality-gates

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I validate batch output integrity and prevent agent error propagation?▼

Batch output integrity is validated by enforcing a mandatory 5-step quality gate that checks count, content completeness, format adherence, cross-referencing, and size constraints to prevent error propagation before proceeding.

What is the best way to automate error handling for missing or truncated agent outputs?▼

Automated error handling for missing or truncated outputs is managed by identifying these issues during the quality gate checks and automatically spawning specific fix-agents to correct the detected errors.

How do I check cross-referencing consistency across multiple agent-generated files?▼

Cross-referencing consistency across agent-generated files is checked during the fourth step of the quality gate, which verifies that outputs do not contradict each other before allowing the project to advance.

Can I enforce size constraints and format adherence on agent batch processing outputs?▼

Size constraints and format adherence on agent batch processing outputs can be enforced through the automated validation checks, which flag size violations and incorrect formatting to maintain data integrity.

What happens when a quality gate failure is detected during agent orchestration?▼

When a quality gate failure is detected during agent orchestration, the system triggers guided remediation by spawning specific fix-agents to correct the identified errors while maintaining an audit trail.