automating-dependabot-with-github-actions.md

title	intro	permissions	versions	type	topics	shortTitle	redirect_from
Automating Dependabot with GitHub Actions	Examples of how you can use {% data variables.product.prodname_actions %} to automate common {% data variables.product.prodname_dependabot %} related tasks.	People with write permissions to a repository can configure {% data variables.product.prodname_actions %} to respond to {% data variables.product.prodname_dependabot %}-created pull requests.	fpt ghec ghes ghae * * * *	how_to	Actions Dependabot Version updates Security updates Repositories Dependencies Pull requests	Use Dependabot with Actions	/code-security/supply-chain-security/keeping-your-dependencies-updated-automatically/automating-dependabot-with-github-actions

{% data reusables.dependabot.beta-security-and-version-updates %} {% data reusables.dependabot.enterprise-enable-dependabot %}

About {% data variables.product.prodname_dependabot %} and {% data variables.product.prodname_actions %}

{% data variables.product.prodname_dependabot %} creates pull requests to keep your dependencies up to date, and you can use {% data variables.product.prodname_actions %} to perform automated tasks when these pull requests are created. For example, fetch additional artifacts, add labels, run tests, or otherwise modifying the pull request.

Responding to events

{% data variables.product.prodname_dependabot %} is able to trigger {% data variables.product.prodname_actions %} workflows on its pull requests and comments; however, certain events are treated differently.

For workflows initiated by {% data variables.product.prodname_dependabot %} (github.actor == 'dependabot[bot]') using the pull_request, pull_request_review, pull_request_review_comment, push, create, deployment, and deployment_status events, the following restrictions apply:

• GITHUB_TOKEN has read-only permissions by default.
• Secrets are populated from {% data variables.product.prodname_dependabot %} secrets. {% data variables.product.prodname_actions %} secrets are not available.

For workflows initiated by {% data variables.product.prodname_dependabot %} (github.actor == 'dependabot[bot]') using the pull_request_target event, if the base ref of the pull request was created by {% data variables.product.prodname_dependabot %} (github.actor == 'dependabot[bot]'), the GITHUB_TOKEN will be read-only and secrets are not available.

{% ifversion actions-stable-actor-ids %}These restrictions apply even if the workflow is re-run by a different actor.{% endif %}

For more information, see "Keeping your GitHub Actions and workflows secure: Preventing pwn requests".

{% ifversion fpt or ghec or ghes %}

Changing GITHUB_TOKEN permissions

By default, {% data variables.product.prodname_actions %} workflows triggered by {% data variables.product.prodname_dependabot %} get a GITHUB_TOKEN with read-only permissions. You can use the permissions key in your workflow to increase the access for the token:

{% raw %}

name: CI
on: pull_request

# Set the access for individual scopes, or use permissions: write-all
permissions:
  pull-requests: write
  issues: write
  repository-projects: write
  ...

jobs:
  ...

{% endraw %}

For more information, see "AUTOTITLE."

Accessing secrets

When a {% data variables.product.prodname_dependabot %} event triggers a workflow, the only secrets available to the workflow are {% data variables.product.prodname_dependabot %} secrets. {% data variables.product.prodname_actions %} secrets are not available. Consequently, you must store any secrets that are used by a workflow triggered by {% data variables.product.prodname_dependabot %} events as {% data variables.product.prodname_dependabot %} secrets. For more information, see "AUTOTITLE."

{% data variables.product.prodname_dependabot %} secrets are added to the secrets context and referenced using exactly the same syntax as secrets for {% data variables.product.prodname_actions %}. For more information, see "AUTOTITLE."

If you have a workflow that will be triggered by {% data variables.product.prodname_dependabot %} and also by other actors, the simplest solution is to store the token with the permissions required in an action and in a {% data variables.product.prodname_dependabot %} secret with identical names. Then the workflow can include a single call to these secrets. If the secret for {% data variables.product.prodname_dependabot %} has a different name, use conditions to specify the correct secrets for different actors to use. For examples that use conditions, see "Common automations" below.

To access a private container registry on AWS with a user name and password, a workflow must include a secret for username and password. In the example below, when {% data variables.product.prodname_dependabot %} triggers the workflow, the {% data variables.product.prodname_dependabot %} secrets with the names READONLY_AWS_ACCESS_KEY_ID and READONLY_AWS_ACCESS_KEY are used. If another actor triggers the workflow, the actions secrets with those names are used.

name: CI
on:
  pull_request:
    branches: [ main ]

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout repository
        uses: {% data reusables.actions.action-checkout %}

      - name: Login to private container registry for dependencies
        uses: docker/login-action@v2
        with:
          registry: https://1234567890.dkr.ecr.us-east-1.amazonaws.com
          username: {% raw %}${{ secrets.READONLY_AWS_ACCESS_KEY_ID }}{% endraw %}
          password: {% raw %}${{ secrets.READONLY_AWS_ACCESS_KEY }}{% endraw %}

      - name: Build the Docker image
        run: docker build . --file Dockerfile --tag my-image-name:$(date +%s)

{% endif %}

Manually re-running a workflow

{% ifversion actions-stable-actor-ids %}

When you manually re-run a Dependabot workflow, it will run with the same privileges as before even if the user who initiated the rerun has different privileges. For more information, see "AUTOTITLE."

{% else %}

You can also manually re-run a failed Dependabot workflow, and it will run with a read-write token and access to secrets. Before manually re-running a failed workflow, you should always check the dependency being updated to ensure that the change doesn't introduce any malicious or unintended behavior.

{% endif %}

Common Dependabot automations

Here are several common scenarios that can be automated using {% data variables.product.prodname_actions %}.

Fetch metadata about a pull request

A large amount of automation requires knowing information about the contents of the pull request: what the dependency name was, if it's a production dependency, and if it's a major, minor, or patch update.

The dependabot/fetch-metadata action provides all that information for you:

{% raw %}

name: Dependabot fetch metadata
on: pull_request

permissions:
  pull-requests: write
  issues: write
  repository-projects: write

jobs:
  dependabot:
    runs-on: ubuntu-latest
    if: ${{ github.actor == 'dependabot[bot]' }}
    steps:
      - name: Dependabot metadata
        id: metadata
        uses: dependabot/fetch-metadata@v1
        with:
          github-token: "${{ secrets.GITHUB_TOKEN }}"
      # The following properties are now available:
      #  - steps.metadata.outputs.dependency-names
      #  - steps.metadata.outputs.dependency-type
      #  - steps.metadata.outputs.update-type

{% endraw %}

For more information, see the dependabot/fetch-metadata repository.

Label a pull request

If you have other automation or triage workflows based on {% data variables.product.prodname_dotcom %} labels, you can configure an action to assign labels based on the metadata provided.

For example, if you want to flag all production dependency updates with a label:

{% raw %}

name: Dependabot auto-label
on: pull_request

permissions:
  pull-requests: write
  issues: write
  repository-projects: write

jobs:
  dependabot:
    runs-on: ubuntu-latest
    if: ${{ github.actor == 'dependabot[bot]' }}
    steps:
      - name: Dependabot metadata
        id: metadata
        uses: dependabot/fetch-metadata@v1
        with:
          github-token: "${{ secrets.GITHUB_TOKEN }}"
      - name: Add a label for all production dependencies
        if: ${{ steps.metadata.outputs.dependency-type == 'direct:production' }}
        run: gh pr edit "$PR_URL" --add-label "production"
        env:
          PR_URL: ${{github.event.pull_request.html_url}}

{% endraw %}

Approve a pull request

If you want to automatically approve Dependabot pull requests, you can use the {% data variables.product.prodname_cli %} in a workflow:

{% raw %}

name: Dependabot auto-approve
on: pull_request

permissions:
  pull-requests: write

jobs:
  dependabot:
    runs-on: ubuntu-latest
    if: ${{ github.actor == 'dependabot[bot]' }}
    steps:
      - name: Dependabot metadata
        id: metadata
        uses: dependabot/fetch-metadata@v1
        with:
          github-token: "${{ secrets.GITHUB_TOKEN }}"
      - name: Approve a PR
        run: gh pr review --approve "$PR_URL"
        env:
          PR_URL: ${{github.event.pull_request.html_url}}
          GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}

{% endraw %}

Enable auto-merge on a pull request

If you want to allow maintainers to mark certain pull requests for auto-merge, you can use {% data variables.product.prodname_dotcom %}'s auto-merge functionality. This enables the pull request to be merged when any tests and approvals required by the branch protection rules are successfully met. For more information, see "AUTOTITLE" and "AUTOTITLE."

{% note %}

Note: If you use status checks to test pull requests, you should enable Require status checks to pass before merging for the target branch for {% data variables.product.prodname_dependabot %} pull requests. This branch protection rule ensures that pull requests are not merged unless all the required status checks pass. For more information, see "AUTOTITLE."

{% endnote %}

You can instead use {% data variables.product.prodname_actions %} and the {% data variables.product.prodname_cli %}. Here is an example that auto merges all patch updates to my-dependency:

{% raw %}

name: Dependabot auto-merge
on: pull_request

permissions:
  contents: write
  pull-requests: write

jobs:
  dependabot:
    runs-on: ubuntu-latest
    if: ${{ github.actor == 'dependabot[bot]' }}
    steps:
      - name: Dependabot metadata
        id: metadata
        uses: dependabot/fetch-metadata@v1
        with:
          github-token: "${{ secrets.GITHUB_TOKEN }}"
      - name: Enable auto-merge for Dependabot PRs
        if: ${{contains(steps.metadata.outputs.dependency-names, 'my-dependency') && steps.metadata.outputs.update-type == 'version-update:semver-patch'}}
        run: gh pr merge --auto --merge "$PR_URL"
        env:
          PR_URL: ${{github.event.pull_request.html_url}}
          GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}

{% endraw %}

Troubleshooting failed workflow runs

If your workflow run fails, check the following:

• You are running the workflow only when the correct actor triggers it.
• You are checking out the correct ref for your pull_request.
• Your secrets are available in {% data variables.product.prodname_dependabot %} secrets rather than as {% data variables.product.prodname_actions %} secrets.
• You have a GITHUB_TOKEN with the correct permissions.

For information on writing and debugging {% data variables.product.prodname_actions %}, see "AUTOTITLE."