majiayu000 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
| Code | Verdict | CI/CD Behavior |
|---|---|---|
0 |
PASS | Pipeline continues |
1 |
FAIL | Pipeline fails |
2 |
UNCLEAR | Pipeline pauses for human review |
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
| Parameter | Default | Description |
|---|---|---|
confidence_threshold |
0.7 | Minimum confidence for PASS |
rubric_focus |
null | Focus area (Security, Performance) |
timeout |
300s | Maximum execution time |
tier |
balanced | Council tier (quick, balanced, high) |
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.mdfor CI/CD-specific scoring
Related Skills
council-verify: General verificationcouncil-review: Code review with feedback