Does Council Gate support security-specific audits?

Yes, you can configure the 'rubric-focus' parameter to specifically target security, performance, or other domain-specific quality standards during the evaluation.

Can I use Council Gate with GitHub Actions?

Yes, it is specifically designed for GitHub Actions and can be easily integrated into your YAML workflows to gate PRs or deployments.

How does the multi-model consensus work in Council Gate?

It utilizes the LLM Council framework to synthesize feedback from multiple AI models, ensuring a verdict is only reached when it meets your predefined confidence threshold.

What happens if the AI consensus is not confident?

If the consensus falls below the threshold or is deemed 'UNCLEAR', the system returns Exit Code 2, which pauses the pipeline for a human reviewer to make the final call.

Council Quality Gate

Name: Council Quality Gate
Author: amiable-dev

byamiable-dev

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Deployment & DevOps

Automates CI/CD pipeline approvals using multi-model AI consensus to enforce strict quality and security standards.

About

Council Quality Gate is a sophisticated AI-driven validation tool designed to enhance DevOps workflows by providing high-confidence automated approvals for code changes. By leveraging a multi-model consensus mechanism known as the LLM Council, it evaluates pull requests and deployments against specific rubrics like security and performance. This skill integrates directly into GitHub Actions, producing comprehensive audit logs and transcripts for every deliberation, making it ideal for teams that require verifiable and consistent quality checks throughout their software development lifecycle.

Key Features

Customizable quality rubrics focusing on security and performance
Three-tiered execution modes to balance speed versus deliberation depth
Multi-model AI consensus for reliable automated decision-making
1 GitHub stars
Native GitHub Actions integration for streamlined CI/CD workflows
Detailed deliberation transcripts and audit logs for every check

Use Cases

Generating transparent audit trails for AI-driven pipeline decisions
Gating production deployments based on security-focused AI audits
Automating pull request approvals using multi-model verification

About

Key Features

Customizable quality rubrics focusing on security and performance
Three-tiered execution modes to balance speed versus deliberation depth
Multi-model AI consensus for reliable automated decision-making
1 GitHub stars
Native GitHub Actions integration for streamlined CI/CD workflows
Detailed deliberation transcripts and audit logs for every check

Use Cases

Generating transparent audit trails for AI-driven pipeline decisions
Gating production deployments based on security-focused AI audits
Automating pull request approvals using multi-model verification