Adaptive Enforcement Lab Claude Skills Token Lifecycle Management

Token Lifecycle Management

When to Use This Skill

Installation token lifecycle management enables:

• Long-running workflows - Multi-hour operations without interruption
• Token refresh automation - Automatic renewal before expiration
• Rate limit optimization - Efficient token usage across job matrices
• Caching strategies - Share tokens across concurrent jobs
• Error recovery - Graceful handling of expired tokens

Token Expiration

Installation tokens expire exactly 1 hour after generation. Plan refresh strategies for workflows exceeding 50 minutes to account for clock drift and API latency.

Implementation

See the full implementation guide in the source documentation.

Techniques

Refresh Strategies

Strategy 1: Automatic Refresh (Recommended)

The actions/create-github-app-token@v2 action automatically refreshes tokens in long-running jobs.

name: Long-Running Workflow with Auto-Refresh

on:
  workflow_dispatch:

jobs:
  long-operation:
    runs-on: ubuntu-latest
    steps:
      - name: Generate token
        id: app_token
        uses: actions/create-github-app-token@v2
        with:
          app-id: ${{ secrets.CORE_APP_ID }}
          private-key: ${{ secrets.CORE_APP_PRIVATE_KEY }}
          owner: adaptive-enforcement-lab

      - name: Long-running operation (2+ hours)
        env:
          GH_TOKEN: ${{ steps.app_token.outputs.token }}
        run: |
          # Action automatically refreshes token in background
          for i in {1..150}; do
            echo "Iteration $i at $(date)"

            # API calls use fresh token automatically
            gh api user --jq .login

            # Sleep for 1 minute (150 iterations = 2.5 hours)
            sleep 60
          done

How it works:

• Action spawns background process to monitor token age
• Automatically generates new token 5 minutes before expiration
• Updates GITHUB_TOKEN environment variable with new token
• Transparent to workflow - no manual intervention needed

Auto-Refresh Best Practice

Always use actions/create-github-app-token@v2 for long-running workflows. Manual refresh is only needed for custom token generation implementations.

Strategy 2: Manual Refresh with Time Check

For workflows with custom token generation or explicit refresh control.

name: Manual Token Refresh

on:
  workflow_dispatch:

jobs:
  manual-refresh:
    runs-on: ubuntu-latest
    steps:
      - name: Multi-hour operation with manual refresh
        env:
          APP_ID: ${{ secrets.CORE_APP_ID }}
          PRIVATE_KEY: ${{ secrets.CORE_APP_PRIVATE_KEY }}
        run: |
          # Function to generate token
          generate_token() {
            TOKEN=$(gh api /app/installations \
              --jq '.[0].id' | xargs -I {} \
              gh api /app/installations/{}/access_tokens \
              -X POST --jq .token)
            echo "$TOKEN"
          }

          # Function to check if token needs refresh
          needs_refresh() {
            local token_age=$1
            local max_age=3300  # 55 minutes in seconds
            [ $token_age -gt $max_age ]
          }

          # Initial token generation
          export GH_TOKEN=$(generate_token)
          TOKEN_CREATED=$(date +%s)

          # Long-running operation
          for i in {1..150}; do
            # Calculate token age
            CURRENT_TIME=$(date +%s)
            TOKEN_AGE=$((CURRENT_TIME - TOKEN_CREATED))

            # Refresh if needed
            if needs_refresh $TOKEN_AGE; then
              echo "::notice::Token age: $((TOKEN_AGE / 60)) minutes - refreshing"
              export GH_TOKEN=$(generate_token)
              TOKEN_CREATED=$(date +%s)
            fi

            # Perform API operation
            gh api repos/adaptive-enforcement-lab/example-repo \
              --jq '.full_name + " (iteration " + ($i | tostring) + ")"' \
              --arg i "$i"

            sleep 60
          done

Strategy 3: Step-Based Refresh

Refresh token between workflow steps.

name: Step-Based Token Refresh

on:
  workflow_dispatch:

jobs:
  step-refresh:
    runs-on: ubuntu-latest
    steps:
      - name: Generate initial token
        id: token_1
        uses: actions/create-github-app-token@v2
        with:
          app-id: ${{ secrets.CORE_APP_ID }}
          private-key: ${{ secrets.CORE_APP_PRIVATE_KEY }}
          owner: adaptive-enforcement-lab

      - name: Phase 1 (up to 55 minutes)
        env:
          GH_TOKEN: ${{ steps.token_1.outputs.token }}
        run: |
          # First batch of operations
          for repo in repo-1 repo-2 repo-3; do
            gh api repos/adaptive-enforcement-lab/$repo
            # Heavy processing...
            sleep 1000  # ~16 minutes per repo
          done

      - name: Refresh token before phase 2
        id: token_2
        uses: actions/create-github-app-token@v2
        with:
          app-id: ${{ secrets.CORE_APP_ID }}
          private-key: ${{ secrets.CORE_APP_PRIVATE_KEY }}
          owner: adaptive-enforcement-lab

      - name: Phase 2 (next 55 minutes)
        env:
          GH_TOKEN: ${{ steps.token_2.outputs.token }}
        run: |
          # Second batch of operations
          for repo in repo-4 repo-5 repo-6; do
            gh api repos/adaptive-enforcement-lab/$repo
            # Heavy processing...
            sleep 1000
          done

Step Refresh Pattern

Use step-based refresh when you have natural breaking points in your workflow. This provides explicit control and makes token lifecycle visible in workflow logs.

Strategy 4: Job-Level Refresh with Matrix

Share refreshed tokens across matrix jobs using artifacts.

name: Matrix with Token Refresh

on:
  workflow_dispatch:

jobs:
  generate-token:
    runs-on: ubuntu-latest
    outputs:
      token: ${{ steps.app_token.outputs.token }}
    steps:
      - name: Generate fresh token
        id: app_token
        uses: actions/create-github-app-token@v2
        with:
          app-id: ${{ secrets.CORE_APP_ID }}
          private-key: ${{ secrets.CORE_APP_PRIVATE_KEY }}
          owner: adaptive-enforcement-lab

  process:
    needs: generate-token
    runs-on: ubuntu-latest
    strategy:
      matrix:
        repo: [repo-1, repo-2, repo-3, repo-4, repo-5]
    steps:
      - name: Use shared token
        env:
          GH_TOKEN: ${{ needs.generate-token.outputs.token }}
        run: |
          # All matrix jobs use same token
          gh api repos/adaptive-enforcement-lab/${{ matrix.repo }}

  refresh-token:
    needs: process
    runs-on: ubuntu-latest
    if: always()
    outputs:
      token: ${{ steps.new_token.outputs.token }}
    steps:
      - name: Generate refreshed token
        id: new_token
        uses: actions/create-github-app-token@v2
        with:
          app-id: ${{ secrets.CORE_APP_ID }}
          private-key: ${{ secrets.CORE_APP_PRIVATE_KEY }}
          owner: adaptive-enforcement-lab

  continue-processing:
    needs: [process, refresh-token]
    runs-on: ubuntu-latest
    if: always()
    strategy:
      matrix:
        repo: [repo-6, repo-7, repo-8, repo-9, repo-10]
    steps:
      - name: Use refreshed token
        env:
          GH_TOKEN: ${{ needs.refresh-token.outputs.token }}
        run: |
          gh api repos/adaptive-enforcement-lab/${{ matrix.repo }}

See reference.md for additional techniques and detailed examples.

Examples

See examples.md for code examples.

Full Reference

See reference.md for complete documentation.

References

• Source Documentation
• AEL Patterns

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