Fetch GitHub AI models catalog and uploads it as an artifact for daily tracking and analysis.

At DJHQ, we rely heavily on GitHub’s AI models.
One fine day, without warning, a few of our trusted models vanished from the listings.

👉 DataJourney’s workflow

• 📊 Fetches complete GitHub AI models catalog
• 📝 Creates simplified summary with key model information
• 📋 Generates markdown report for easy viewing
• 💾 Uploads all data as downloadable artifacts
• ⏰ Perfect for scheduled workflows to track model changes

name: Track GitHub Models
on:
  schedule:
    - cron: '0 3 * * *'  # Daily at 3 AM UTC

jobs:
  track-models:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: datajourneyhq/list-github-models@RELEASE
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}

- uses: datajourneyhq/list-github-models@RELEASE
  with:
    github-token: ${{ secrets.GITHUB_TOKEN }}
    artifact-name: 'my-custom-models-catalog'

The action creates an artifact containing:

• github-models.json - Complete models catalog from GitHub API
• github-models-mini.json - Simplified version with id, name, and summary
• models-report.md - Human-readable markdown report

The action generates three files that are uploaded as artifacts:

Complete models catalog from GitHub API containing full model details including specifications, capabilities, and metadata.

Simplified JSON with essential model information:

Human-readable markdown report with model listings:

name: Daily GitHub Models Tracking

on:
  workflow_dispatch:
  schedule:
    - cron: '0 3 * * *'

permissions:
  contents: read

jobs:
  track-models:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout
        uses: actions/checkout@v4
        
    - name: Set date
      run: echo "DATE=$(date +'%Y-%m-%d')" >> $GITHUB_ENV

    - name: Fetch GitHub Models
      uses: datajourneyhq/list-github-models@RELEASE
      with:
        artifact-name: 'models-${{ env.DATE }}'

DataJourney HQ

• GitHub: @datajourneyhq