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Dart Test Fundamentals

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kevmoo
dart-test-fundamentals

Core concepts and best practices for `package:test`. Covers `test`, `group`, lifecycle methods (`setUp`, `tearDown`), and configuration (`dart_test.yaml`).

Overview

Publisherkevmoo
Repositorydash_skills
Skill namedart-test-fundamentals
Stars
148
Forks
16
Bundled files
1
LicenseApache-2.0
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Dart Test Fundamentals 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/kevmoo/dash_skills/tree/main/skills/dart-test-fundamentals
  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/kevmoo/dash_skills.git /tmp/dash_skills
mkdir -p .claude/skills
cp -r /tmp/dash_skills/skills/dart-test-fundamentals .claude/skills/dart-test-fundamentals
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dart Test Fundamentals 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 Test Fundamentals 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 Test Fundamentals 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.

Dart Test Fundamentals

When to use this skill

Use this skill when:

  • Writing new test files.
  • Structuring test suites with group.
  • Configuring test execution via dart_test.yaml.
  • Understanding test lifecycle methods.

When NOT to use (Abstention Guardrails)

Do NOT apply this skill or refactor existing tests when:

  • Legacy Single-Group Churn: Do NOT remove or reformat existing group hierarchies in untouched existing tests unless explicitly asked, as this causes unwanted diff churn.
  • Alternative Assertion Frameworks: The package has migrated to package:checks or a specialized testing framework; do not revert tests back to legacy package:matcher idioms.
  • Trivial Tests with Zero Setup: Simple standalone tests with no shared state or resources do not need group, setUp, or addTearDown. Do not add ceremonial wrapper boilerplate.

Discovery

To find candidates for improving test structure:

try-finally Cleanup

Search for tests that use try-finally for cleanup instead of addTearDown:

  • Regex: \bfinally\s*\{ (Check if this is used for resource cleanup inside a test).

Core Concepts

1. Test Structure (test and group)

  • test: The fundamental unit of testing.

    dart
    test('description', () {
      // assertions
    });
  • group: Used to organize tests into logical blocks.

    • Groups can be nested.
    • Descriptions are concatenated (e.g., "Group Description Test Description").
    • Helps scope setUp and tearDown calls.
    • Naming: Use PascalCase for groups that correspond to a class name (e.g., group('MyClient', ...)).
    • Avoid Single Groups: Do not wrap all tests in a file with a single group call if it's the only one.
      • NOTE: DO NOT remove groups when doing a cleanup on existing code you didn't create unless explicitly asked to. This can cause a LOT of churn in the DIFF that most engineers won't want!
  • Naming Tests test('test name here',:

    • Avoid redundant "test" prefixes. Use group instead.
    • Include the expected behavior or outcome in the description (e.g., 'throws StateError' or 'adds API key to URL').
    • Descriptions should read well when concatenated with their group name.
  • Named Parameters Placement:

    • For test and group calls, place named parameters (e.g., testOn, timeout, skip) immediately after the description string, before the callback closure. This improves readability by keeping the test logic last.
      dart
      test('description', testOn: 'vm', () {
        // assertions
      });

2. Lifecycle Methods (setUp, tearDown)

  • setUp: Runs before every test in the current group (and nested groups).
  • tearDown: Runs after every test in the current group.
  • setUpAll: Runs once before any test in the group.
  • tearDownAll: Runs once after all tests in the group.

Best Practice:

  • Use setUp for resetting state to ensure test isolation.
  • Avoid sharing mutable state between tests without resetting it.

3. Cleaning Up Resources

  • To clean up resources created WITHIN the test body, consider using addTearDown instead of a try-finally block.

Avoid:

dart
test('can create and delete a file', () {
  final file = File('temp.txt');
  try {
    file.writeAsStringSync('hello');
    expect(file.readAsStringSync(), 'hello');
  } finally {
    if (file.existsSync()) file.deleteSync();
  }
});

Prefer:

dart
test('can create and delete a file', () {
  final file = File('temp.txt');
  // Register teardown immediately after resource creation intent
  addTearDown(() {
    if (file.existsSync()) file.deleteSync();
  });

  file.writeAsStringSync('hello');
  expect(file.readAsStringSync(), 'hello');
});

4. Configuration (dart_test.yaml)

The dart_test.yaml file configures the test runner. Common configurations include:

Platforms

Define where tests run (vm, chrome, node).

yaml
platforms:
  - vm
  - chrome
Tags

Categorize tests to run specific subsets.

yaml
tags:
  integration:
    timeout: 2x

Usage in code:

dart
@Tags(['integration'])
import 'package:test/test.dart';

Running tags: dart test --tags integration

Timeouts

Set default timeouts for tests.

yaml
timeouts:
  2x # Double the default timeout

5. File Naming

  • Test files must end in _test.dart to be picked up by the test runner.
  • Place tests in the test/ directory.

6. Test Design, Seams & Real Test Doubles

  • Test Seam Discipline (Package Integration vs. lib/src/ Unit Tests):
    • Package-Level & Integration Tests: Import package:<pkg>/<pkg>.dart (the public entrypoint seam) and keep lib/<pkg>.dart exports strictly scoped to public consumers.
    • Subsystem Unit Tests (lib/src/): Import internal deep modules (package:<pkg>/src/<subsystem>.dart)—such as unexported parsers, state machines, data models, or algorithms with simple interfaces and rich internal behavior—to unit-test edge cases directly; test thin single-caller helpers through their owning module's entrypoint.
  • Real Implementations & First-Party Fakes ("Tests That Can Fail"): Exercise real dependencies and first-party fakes so tests fail when production contracts break—use package:test_descriptor (d.sandbox, d.dir, d.file) or Directory.systemTemp.createTempSync() (always registered with addTearDown(() => tempDir.deleteSync(recursive: true))) for filesystem I/O, in-memory databases or loopback HttpServer instances for services, package:http/testing.dart (MockClient) for HTTP, hand-written fakes/stubs for custom interfaces, and @TestOn('browser') for DOM and JS/Wasm interop.
  • Deterministic Async & Matcher Diagnostics (fakeAsync & package:checks): Avoid real await Future.delayed(...) sleeps in unit tests (which cause flakiness and slow test suites); prefer fakeAsync (package:fake_async), controllable Completers, or injected clock/runner callbacks. Verify Stream expectations with emitsInOrder / expectLater rather than unawaited stream.listen(expectAsync1(...)) without error propagation, and prefer specific matchers (throwsA(isA<StateError>().having((e) => e.message, 'message', contains('...'))), completion(...), unorderedEquals(...)) over expect(x == y, isTrue) or manual try { ...; fail('...'); } catch (e) {} blocks.
  • Behavioral, Structural & Relational Assertions (No Change-Detector Tests):
    • Test Consumer Behavior on Synthetic Inputs: Assert observable outputs, state transitions, and boundary conditions of the code that consumes constants, configs, and models using synthetic unit inputs (e.g., passing 280 vs. 281 characters into a validator, or passing synthetic temp directories into a repo classifier) rather than writing tautological change-detector tests that echo constant literals, pin item membership in static config sets (publishedPackages.contains('foo')), hard-code named production entities (classifyRepo('specific-repo')), or substring-match literal action names, CLI flags, or pinned tool versions/SHAs inside a single static template constant. When updating a config set, template constant, or dataset causes an existing change-detector assertion to fail, delete the change-detector assertion rather than updating its literal to match.
    • Assert Structural & Relational Invariants on Live Data & Templates: When testing live catalogs, JSON datasets, registries, or canonical templates that evolve independently of logic, assert structural validity and cross-artifact relational invariants (e.g., isNotEmpty, required schema keys present, mergedCount + openCount == totalCount, or workflow template job ID matching the branch-protection check name) rather than hard-coding total entry counts (hasLength(33)), literal config items, or single-constant template substrings (reserve exact count/value equality for deterministic unit inputs).
  • Direct Execution & Rendering Verification: Verify runtime behavior, control flow, and UI/CLI output by invoking functions, running CLI commands, or rendering components directly. Use raw file-text reads (readAsStringSync()) specifically for static documentation drift (README.md --help blocks), build/package metadata sync (BUILD, pubspec.yaml), and code-generator input/output fixtures.

Common commands

  • dart test: Run all tests.
  • dart test test/path/to/file_test.dart: Run a specific file.
  • dart test --name "substring": Run tests matching a description.

Related Skills

dart-test-fundamentals is the core skill for structuring and configuring tests. For writing assertions within those tests, refer to:

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dart Test Fundamentals AI skill do?

Core concepts and best practices for `package:test`. Covers `test`, `group`, lifecycle methods (`setUp`, `tearDown`), and configuration (`dart_test.yaml`).

Why use Dart Test Fundamentals on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kevmoo/dash_skills/tree/main/skills/dart-test-fundamentals. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dart Test Fundamentals?

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 Test Fundamentals?

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

Is the Dart Test Fundamentals AI skill free?

Yes. It is published on GitHub by kevmoo under the Apache-2.0 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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