adobe-ci-integration

Configure CI/CD pipelines for Adobe integrations with GitHub Actions, including OAuth credential injection, PDF Services testing, Firefly API smoke tests, and secret scanning for Adobe credential patterns. Trigger with phrases like "adobe CI", "adobe GitHub Actions", "adobe automated tests", "CI adobe", "adobe pipeline".

1,868 stars

Best use case

adobe-ci-integration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Configure CI/CD pipelines for Adobe integrations with GitHub Actions, including OAuth credential injection, PDF Services testing, Firefly API smoke tests, and secret scanning for Adobe credential patterns. Trigger with phrases like "adobe CI", "adobe GitHub Actions", "adobe automated tests", "CI adobe", "adobe pipeline".

Teams using adobe-ci-integration should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/adobe-ci-integration/SKILL.md --create-dirs "https://raw.githubusercontent.com/jeremylongshore/claude-code-plugins-plus-skills/main/plugins/saas-packs/adobe-pack/skills/adobe-ci-integration/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/adobe-ci-integration/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How adobe-ci-integration Compares

Feature / Agentadobe-ci-integrationStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Configure CI/CD pipelines for Adobe integrations with GitHub Actions, including OAuth credential injection, PDF Services testing, Firefly API smoke tests, and secret scanning for Adobe credential patterns. Trigger with phrases like "adobe CI", "adobe GitHub Actions", "adobe automated tests", "CI adobe", "adobe pipeline".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Adobe CI Integration

## Overview

Set up CI/CD pipelines for Adobe API integrations with proper credential management, unit/integration test separation, and secret scanning for Adobe-specific credential patterns.

## Prerequisites

- GitHub repository with Actions enabled
- Adobe Developer Console credentials for CI (separate from production)
- npm/pnpm project with vitest configured

## Instructions

### Step 1: Store Adobe Credentials as GitHub Secrets

```bash
# Set OAuth Server-to-Server credentials
gh secret set ADOBE_CLIENT_ID --body "your-ci-client-id"
gh secret set ADOBE_CLIENT_SECRET --body "your-ci-client-secret"
gh secret set ADOBE_SCOPES --body "openid,AdobeID,firefly_api"
```

### Step 2: Create CI Workflow

```yaml
# .github/workflows/adobe-integration.yml
name: Adobe Integration Tests

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

jobs:
  unit-tests:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20'
          cache: 'npm'
      - run: npm ci
      - run: npm test -- --coverage
        # Unit tests run with mocked Adobe APIs — no credentials needed

  secret-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Scan for Adobe credentials
        run: |
          FOUND=0
          # Adobe OAuth client secrets start with p8_
          if grep -rE "p8_[A-Za-z0-9_-]{20,}" --include="*.ts" --include="*.js" --include="*.py" --include="*.json" . 2>/dev/null; then
            echo "::error::Adobe client_secret pattern found in source"
            FOUND=1
          fi
          # Adobe IMS access tokens
          if grep -rE "eyJ[A-Za-z0-9_-]{50,}" --include="*.ts" --include="*.js" . 2>/dev/null; then
            echo "::warning::Potential Adobe access token found"
          fi
          exit $FOUND

  integration-tests:
    needs: [unit-tests, secret-scan]
    runs-on: ubuntu-latest
    # Only run on main branch (uses real API credentials)
    if: github.ref == 'refs/heads/main'
    env:
      ADOBE_CLIENT_ID: ${{ secrets.ADOBE_CLIENT_ID }}
      ADOBE_CLIENT_SECRET: ${{ secrets.ADOBE_CLIENT_SECRET }}
      ADOBE_SCOPES: ${{ secrets.ADOBE_SCOPES }}
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20'
          cache: 'npm'
      - run: npm ci

      - name: Verify Adobe OAuth credentials
        run: |
          HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" -X POST \
            'https://ims-na1.adobelogin.com/ims/token/v3' \
            -d "client_id=${ADOBE_CLIENT_ID}&client_secret=${ADOBE_CLIENT_SECRET}&grant_type=client_credentials&scope=${ADOBE_SCOPES}")
          if [ "$HTTP_CODE" != "200" ]; then
            echo "::error::Adobe OAuth token generation failed (HTTP $HTTP_CODE)"
            exit 1
          fi
          echo "Adobe credentials verified"

      - name: Run integration tests
        run: npm run test:integration
        timeout-minutes: 5
```

### Step 3: Write CI-Friendly Integration Tests

```typescript
// tests/integration/adobe-api.test.ts
import { describe, it, expect } from 'vitest';
import { getAccessToken } from '../../src/adobe/client';

const hasCredentials = !!(
  process.env.ADOBE_CLIENT_ID && process.env.ADOBE_CLIENT_SECRET
);

describe.skipIf(!hasCredentials)('Adobe API Integration', () => {
  it('should generate valid OAuth access token', async () => {
    const token = await getAccessToken();
    expect(token).toBeTruthy();
    expect(token.length).toBeGreaterThan(100);
  }, 10_000);

  it('should call Firefly API health endpoint', async () => {
    const token = await getAccessToken();
    const response = await fetch('https://firefly-api.adobe.io/v3/images/generate', {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${token}`,
        'x-api-key': process.env.ADOBE_CLIENT_ID!,
        'Content-Type': 'application/json',
      },
      body: JSON.stringify({
        prompt: 'solid blue square',
        n: 1,
        size: { width: 512, height: 512 },
      }),
    });

    // 200 = success, 429 = rate limited (acceptable in CI)
    expect([200, 429]).toContain(response.status);
  }, 30_000);
});
```

### Step 4: Release Workflow with Adobe Validation

```yaml
# .github/workflows/release.yml
on:
  push:
    tags: ['v*']

jobs:
  release:
    runs-on: ubuntu-latest
    env:
      ADOBE_CLIENT_ID: ${{ secrets.ADOBE_CLIENT_ID_PROD }}
      ADOBE_CLIENT_SECRET: ${{ secrets.ADOBE_CLIENT_SECRET_PROD }}
      ADOBE_SCOPES: ${{ secrets.ADOBE_SCOPES }}
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with: { node-version: '20' }
      - run: npm ci
      - run: npm test
      - name: Verify Adobe production credentials
        run: npm run test:integration
      - run: npm run build
      - run: npm publish
```

## Output

- Unit test pipeline (no credentials needed)
- Secret scanning for Adobe credential patterns
- Integration tests with real API (main branch only)
- Release workflow with credential validation gate

## Error Handling

| Issue | Cause | Solution |
|-------|-------|----------|
| `invalid_client` in CI | Wrong secret value | Re-set with `gh secret set` |
| Integration test 429 | Rate limited | Accept 429 as valid CI result |
| Secret scan false positive | Test fixture data | Exclude test directories from scan |
| Timeout on Firefly test | API latency | Increase vitest timeout to 30s |

## Resources

- [GitHub Actions Secrets](https://docs.github.com/en/actions/security-for-github-actions/security-guides/using-secrets-in-github-actions)
- [Adobe Developer Console](https://developer.adobe.com/console)

## Next Steps

For deployment patterns, see `adobe-deploy-integration`.

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