Council Gate Skill

Automated quality gate using multi-model consensus for CI/CD pipelines.

When to Use

• Add AI-powered quality checks to GitHub Actions
• Automate PR approval workflows
• Gate deployments on multi-model verification
• Enforce quality standards in pipelines

Exit Codes

Transcript Location

All deliberations are saved for audit:

.council/logs/{timestamp}-{hash}/
├── request.json      # Input snapshot
├── stage1.json       # Model responses
├── stage2.json       # Peer reviews
├── stage3.json       # Synthesis
└── result.json       # Final verdict

GitHub Actions Integration

name: Council Quality Gate

on:
  pull_request:
    branches: [main, master]

jobs:
  council-gate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0

      - name: Install LLM Council
        run: pip install llm-council-core

      - name: Run Council Gate
        env:
          OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
        run: |
          llm-council gate \
            --snapshot ${{ github.sha }} \
            --rubric-focus Security \
            --confidence-threshold 0.8

      - name: Upload Transcript
        if: always()
        uses: actions/upload-artifact@v4
        with:
          name: council-transcript
          path: .council/logs/

Configuration

Output Schema

{
  "verdict": "pass",
  "confidence": 0.85,
  "blocking_issues": [],
  "rationale": "All models agreed...",
  "exit_code": 0,
  "transcript_path": ".council/logs/2025-12-31T..."
}

Example Usage

# Basic gate check
council-gate --snapshot $(git rev-parse HEAD)

# Security-focused gate
council-gate --rubric-focus Security --confidence-threshold 0.9

# Quick tier for faster feedback
council-gate --tier quick --timeout 60

Progressive Disclosure

• Level 1: This metadata (~200 tokens)
• Level 2: Full instructions above (~800 tokens)
• Level 3: See references/ci-cd-rubric.md for CI/CD-specific scoring

Related Skills

• council-verify: General verification
• council-review: Code review with feedback