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Drupal Unit

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edutrul
drupal-unit

Drupal Unit tests with UnitTestCase — testing isolated PHP logic with no Drupal bootstrap, mocking dependencies.

Overview

Publisheredutrul
Repositorydrupal-ai
Skill namedrupal-unit
Stars
73
Forks
14
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by edutrul on GitHub. Read the source before you install it.

Installation

Install the Drupal Unit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/edutrul/drupal-ai/tree/main/.claude/skills/drupal-unit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/edutrul/drupal-ai.git /tmp/drupal-ai
mkdir -p .claude/skills
cp -r /tmp/drupal-ai/.claude/skills/drupal-unit .claude/skills/drupal-unit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Drupal Unit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Drupal Unit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Drupal Unit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Drupal Unit Tests

When to Use

  • Pure PHP logic with no Drupal dependencies
  • Utility functions, data transformations, value objects
  • Classes where all dependencies can be mocked

Basic Structure

php
// tests/src/Unit/MyServiceTest.php
namespace Drupal\Tests\my_module\Unit;

use Drupal\Tests\UnitTestCase;
use Drupal\my_module\Service\MyService;
use Psr\Log\LoggerInterface;

/**
 * @coversDefaultClass \Drupal\my_module\Service\MyService
 * @group my_module
 */
final class MyServiceTest extends UnitTestCase {

  private MyService $service;

  protected function setUp(): void {
    parent::setUp();

    $logger = $this->createMock(LoggerInterface::class);
    $this->service = new MyService($logger);
  }

  /**
   * @covers ::processData
   */
  public function testProcessData(): void {
    $input = ['foo' => 'bar'];
    $result = $this->service->processData($input);

    $this->assertArrayHasKey('processed', $result);
    $this->assertTrue($result['processed']);
  }

  /**
   * @covers ::processData
   */
  public function testProcessDataWithEmptyInput(): void {
    $this->expectException(\InvalidArgumentException::class);
    $this->service->processData([]);
  }

}

Mocking with PHPUnit

php
// Mock a simple interface
$mock = $this->createMock(SomeInterface::class);
$mock->method('someMethod')->willReturn('value');

// Mock with argument matching
$mock->expects($this->once())
  ->method('someMethod')
  ->with($this->equalTo('expected-arg'))
  ->willReturn('result');

// Mock throwing exception
$mock->method('someMethod')->willThrowException(new \RuntimeException('Error'));

// Stub multiple calls
$mock->method('someMethod')
  ->willReturnMap([
    ['arg1', 'result1'],
    ['arg2', 'result2'],
  ]);

Mocking Drupal Translation (t())

php
// UnitTestCase provides getStringTranslationStub()
$this->service = new MyService(
  $this->getStringTranslationStub()
);

Mocking Logger

php
// Expect a specific log message
$logger = $this->createMock(LoggerInterface::class);
$logger->expects($this->once())
  ->method('error')
  ->with($this->stringContains('Failed to process'));

Running Tests

Examples assume a docroot/-based Drupal project. If your project uses web/ or another document root, adjust paths accordingly.

bash
# Run specific test file
ddev exec vendor/bin/phpunit docroot/modules/custom/my_module/tests/src/Unit/MyServiceTest.php

# Run all unit tests for a module
ddev exec vendor/bin/phpunit docroot/modules/custom/my_module/tests/src/Unit/

# Run with verbose output
ddev exec vendor/bin/phpunit --verbose docroot/modules/custom/my_module/tests/

Frequently asked questions

What does the Drupal Unit AI skill do?

Drupal Unit tests with UnitTestCase — testing isolated PHP logic with no Drupal bootstrap, mocking dependencies.

Why use Drupal Unit on TypingMind?

Because you install it once and use it with any model. Drupal Unit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Drupal Unit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/edutrul/drupal-ai/tree/main/.claude/skills/drupal-unit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Drupal Unit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Drupal Unit?

As many as you like. As long as a model supports skills, you can use Drupal Unit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Drupal Unit AI skill free?

Yes. It is published on GitHub by edutrul under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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