Step-by-Step GitHub Releases Workaround: dockur example

1. Open your regular web browser on your Windows host.
2. Go to your GitHub profile and create a New Repository. Make it Private (e.g., my-image-fetcher).
3. Inside your repo, click on the Actions tab at the top.
4. Click the link that says "set up a workflow yourself".
5. Delete all default text in the editor and paste this configuration exactly:

name: Export Docker Image to Releases
on: [workflow_dispatch]

permissions:
  contents: write

jobs:
  bundle_image:
    runs-on: ubuntu-latest
    steps:
      - name: Pull and Save Image
        run: |
          docker pull ghcr.io/dockur/windows:latest
          docker save -o windows_image.tar ghcr.io/dockur/windows:latest
          
      - name: Create Private Release Asset
        uses: softprops/action-gh-release@v2
        with:
          tag_name: v1.0.0
          name: "Windows Container Download"
          files: windows_image.tar
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

6. Click Commit changes... in the top right, then confirm it.

1. Go back to the Actions tab.
2. On the left side, click "Export Docker Image to Releases".
3. On the right side, click the Run workflow dropdown, and then click the green Run workflow button.
4. Wait about 3 to 5 minutes. GitHub's remote cloud servers will download the image and package it into a single .tar archive asset. A green checkmark will appear when it finishes.

1. Click the main logo of your repository to go back to its home page.
2. Look at the right-hand sidebar. Under the Releases section, you will see a fresh v1.0.0 tag. Click on it.
3. Under the "Assets" heading, you will see windows_image.tar.
4. Left-click it. Your web browser will download it as a standard static file asset, bypassing the terminal blocks entirely.

1. Drag or cut-paste windows_image.tar out of your Downloads folder and into C:\PROJECTS\CobolSim\.
2. Open your local WSL terminal and run:
   bash

   
   

   cd /mnt/c/PROJECTS/CobolSim
   docker load -i windows_image.tar
   

   Use code with caution.

   
   
3. Verify it is ready by typing docker images.