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Dart Generate Test Mocks

OrganizationPopular
flutter
dart-generate-test-mocks

Define and generate mock objects for external dependencies using `package:mockito` and `build_runner`. Use when unit testing classes that depend on complex external services like APIs or databases.

Overview

Publisherflutter
Repositoryagent-plugins
Skill namedart-generate-test-mocks
Stars
3K
Forks
182
Bundled files
Instructions only
LicenseBSD-3-Clause
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 flutter on GitHub. Read the source before you install it.

Installation

Install the Dart Generate Test Mocks 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/flutter/agent-plugins/tree/main/skills/dart-generate-test-mocks
  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/flutter/agent-plugins.git /tmp/agent-plugins
mkdir -p .claude/skills
cp -r /tmp/agent-plugins/skills/dart-generate-test-mocks .claude/skills/dart-generate-test-mocks
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dart Generate Test Mocks 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 Dart Generate Test Mocks 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 Dart Generate Test Mocks 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.

Testing and Mocking Dart Applications

Contents

Structuring Code for Testability

Design Dart classes to support dependency injection. Isolate complex external dependencies (like API clients or databases) so they can be replaced with mock objects during testing.

  • Inject external services (e.g., http.Client) through class constructors.
  • Represent URLs strictly as Uri objects using Uri.parse(string).
  • Utilize Dart's object-oriented features (classes, mixins) to define clear interfaces for external interactions.

Managing Dependencies

Configure the pubspec.yaml file with the necessary testing and code generation packages.

  • Add runtime dependencies (e.g., package:http) using dart pub add http.
  • Add testing dependencies using dart pub add dev:test dev:mockito dev:build_runner.
  • Import HTTP libraries with a prefix to avoid namespace collisions: import 'package:http/http.dart' as http;.

Generating Mocks

Use package:mockito and build_runner to automatically generate mock classes for fixed scenarios and behavior verification.

  • Always use the @GenerateNiceMocks annotation (preferable to @GenerateMocks to avoid missing stub exceptions).
  • Place the annotation in the test file, passing a list of MockSpec<Type>() objects.
  • Import the generated file using the .mocks.dart extension.
  • Execute build_runner to generate the mock files: dart run build_runner build.

Implementing Unit Tests

Isolate the system under test using the generated mock objects. Use package:test to structure the test suite.

  • Stubbing: Configure mock behavior before interacting with the system under test.
    • Use when(mock.method()).thenReturn(value) for synchronous methods.
    • CRITICAL: Always use thenAnswer((_) async => value) for methods returning a Future or Stream. Never use thenReturn for asynchronous returns.
  • Verification: Assert that the system under test interacted with the mock object correctly.
    • Use verify(mock.method()).called(1) to check exact invocation counts.
    • Use argument matchers like any, anyNamed, or captureAny for flexible verification.

Workflow: Creating and Running Mocked Tests

Use the following checklist to implement and verify mocked unit tests.

Task Progress

  • 1. Identify the external dependency to mock (e.g., http.Client).
  • 2. Inject the dependency into the target class constructor.
  • 3. Create a test file (e.g., target_test.dart) and add @GenerateNiceMocks([MockSpec<Dependency>()]).
  • 4. Add the part or import directive for the generated .mocks.dart file.
  • 5. Run dart run build_runner build to generate the mock classes.
  • 6. Write the test cases using group() and test().
  • 7. Stub required behaviors using when().
  • 8. Execute the target method.
  • 9. Verify interactions using verify() and assert outcomes using expect().
  • 10. Run the test suite using dart test.

Feedback Loop: Test Failures

If tests fail or build_runner encounters errors:

  1. Run validator: Execute dart test or dart run build_runner build.
  2. Review errors: Check for missing stubs, mismatched argument matchers, or syntax errors in the generated files.
  3. Fix:
    • If a mock method throws an unexpected null error, ensure you used @GenerateNiceMocks.
    • If an async stub throws an ArgumentError, change thenReturn to thenAnswer.
    • If build_runner fails, ensure the .mocks.dart import matches the file name exactly.
  4. Repeat until all tests pass.

Examples

High-Fidelity Mocking and Testing Example

1. System Under Test (lib/api_service.dart)

dart
import 'dart:convert';
import 'package:http/http.dart' as http;

class ApiService {
  final http.Client client;

  ApiService(this.client);

  Future<String> fetchData(String urlString) async {
    final uri = Uri.parse(urlString);
    final response = await client.get(uri);

    if (response.statusCode == 200) {
      return jsonDecode(response.body)['data'];
    } else {
      throw Exception('Failed to load data');
    }
  }
}

2. Test Implementation (test/api_service_test.dart)

dart
import 'package:test/test.dart';
import 'package:mockito/annotations.dart';
import 'package:mockito/mockito.dart';
import 'package:http/http.dart' as http;
import 'package:my_app/api_service.dart';

// Generate the mock class for http.Client
@GenerateNiceMocks([MockSpec<http.Client>()])
import 'api_service_test.mocks.dart';

void main() {
  group('ApiService', () {
    late ApiService apiService;
    late MockClient mockHttpClient;

    setUp(() {
      mockHttpClient = MockClient();
      apiService = ApiService(mockHttpClient);
    });

    test('returns data if the http call completes successfully', () async {
      // Arrange: Stub the async HTTP GET request using thenAnswer
      when(mockHttpClient.get(any)).thenAnswer(
        (_) async => http.Response('{"data": "Success"}', 200),
      );

      // Act
      final result = await apiService.fetchData('https://api.example.com/data');

      // Assert
      expect(result, 'Success');

      // Verify the mock was called with the correct Uri
      verify(mockHttpClient.get(Uri.parse('https://api.example.com/data'))).called(1);
    });

    test('throws an exception if the http call completes with an error', () {
      // Arrange
      when(mockHttpClient.get(any)).thenAnswer(
        (_) async => http.Response('Not Found', 404),
      );

      // Act & Assert
      expect(
        apiService.fetchData('https://api.example.com/data'),
        throwsException,
      );
    });
  });
}

Frequently asked questions

What does the Dart Generate Test Mocks AI skill do?

Define and generate mock objects for external dependencies using `package:mockito` and `build_runner`. Use when unit testing classes that depend on complex external services like APIs or databases.

Why use Dart Generate Test Mocks on TypingMind?

Because you install it once and use it with any model. Dart Generate Test Mocks 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 Dart Generate Test Mocks in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/flutter/agent-plugins/tree/main/skills/dart-generate-test-mocks. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dart Generate Test Mocks?

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 Dart Generate Test Mocks?

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

Is the Dart Generate Test Mocks AI skill free?

Yes. It is published on GitHub by flutter under the BSD-3-Clause 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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