Meshtastic-Android/.github/workflows/models_quality.yml

name: Contribution Quality Check

on:
  pull_request:
    types: [opened]
  issues:
    types: [opened]

permissions:
  pull-requests: write
  issues: write
  models: read

jobs:
  quality-check:
    runs-on: ubuntu-latest
    if: ${{ github.event_name == 'issues' || (github.event_name == 'pull_request' && github.event.pull_request.labels == null || !contains(join(github.event.pull_request.labels.*.name, ','), 'automation')) }}
    steps:
      - name: Detect spam or low-quality content
        uses: actions/ai-inference@v2
        id: ai
        with:
          prompt: |
            Is this GitHub ${{ github.event_name == 'issues' && 'issue' || 'pull request' }} spam, AI-generated slop, or low quality?
            
            Title: ${{ github.event.issue.title || github.event.pull_request.title }}
            Body: ${{ github.event.issue.body || github.event.pull_request.body }}
            
            Respond with one of: spam, ai-generated, needs-review, or ok
          system-prompt: You detect spam and low-quality contributions. Be conservative - only flag obvious spam or AI slop.
          model: openai/gpt-4o-mini
          # temperature: 0.1

      - name: Apply label if needed
        if: steps.ai.outputs.response != 'ok'
        uses: actions/github-script@v8
        with:
          script: |
            const label = `${{ steps.ai.outputs.response }}`;
            const number = ${{ github.event.issue.number || github.event.pull_request.number }};
            
            if (label && label !== 'ok') {
              await github.rest.issues.addLabels({
                owner: context.repo.owner,
                repo: context.repo.repo,
                issue_number: number,
                labels: [label]
              });
            }