Patrol E2e Testing logo

Patrol E2e Testing

Community
evanca
patrol-e2e-testing

Use when writing E2E/integration tests, testing native interactions like permissions or system dialogs, capturing UI regressions, or validating cross-platform behavior (Patrol 4.x).

Overview

Publisherevanca
Repositoryflutter-ai-rules
Skill namepatrol-e2e-testing
Stars
651
Forks
67
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 evanca on GitHub. Read the source before you install it.

Installation

Install the Patrol E2e Testing 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/evanca/flutter-ai-rules/tree/main/skills/patrol-e2e-testing
  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/evanca/flutter-ai-rules.git /tmp/flutter-ai-rules
mkdir -p .claude/skills
cp -r /tmp/flutter-ai-rules/skills/patrol-e2e-testing .claude/skills/patrol-e2e-testing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Patrol E2e Testing 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 Patrol E2e Testing 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 Patrol E2e Testing 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.

Patrol E2E Testing Skill

Design, implement, and run end-to-end (E2E) tests using Patrol 4.x in Flutter projects.

When to Use

Use this skill when:

  • A new screen or user flow needs E2E test coverage.
  • A feature interacts with native components (permissions, notifications, system dialogs, deep links).
  • A UI bug should be captured as a regression test.
  • Cross-platform behavior (Android / iOS / Web) must be validated.
  • Setting up Patrol in a new or existing Flutter project.

Setup

Follow the official Patrol documentation for installation and project initialization: https://patrol.leancode.co/documentation#setup

Key Patrol conventions:

  • Add patrol as a dev dependency.
  • Place tests in patrol_test/.
  • Name test files with a _test.dart suffix.
  • Execute tests with patrol test.

Workflow

Follow these steps when implementing or updating Patrol tests.

1. Identify the user journey

Break the feature into:

  • Actions: taps, scrolls, input, navigation, deep links.
  • Observable outcomes: visible text, screen changes, enabled buttons, dialogs.

Rules:

  • One test per primary (happy-path) journey.
  • Separate tests for critical edge cases.
  • Avoid combining unrelated flows in a single test.

2. Structure the Patrol test

Basic Patrol structure:

dart
import 'package:flutter_test/flutter_test.dart';
import 'package:patrol/patrol.dart';

void main() {
  patrolTest(
    'user can log in successfully',
    ($) async {
      await $.pumpWidgetAndSettle(const MyApp());

      const email = String.fromEnvironment('E2E_EMAIL');
      const password = String.fromEnvironment('E2E_PASSWORD');

      await $(#emailField).enterText(email);
      await $(#passwordField).enterText(password);
      await $(#loginButton).tap();

      await $.waitUntilVisible($(#homeScreenTitle));

      expect($(#homeScreenTitle).text, equals('Welcome'));
    },
  );
}

Key concepts:

  • Use patrolTest() instead of testWidgets().
  • $ is the Patrol tester.
  • Use $(#keyName) to find widgets by Key.
  • Use explicit wait conditions (e.g., waitUntilVisible).

3. Handle native dialogs

For OS-level permission dialogs:

dart
patrolTest('grants camera permission', ($) async {
  await $.pumpWidgetAndSettle(const MyApp());

  await $(#openCameraButton).tap();

  if (await $.native.isPermissionDialogVisible()) {
    await $.native.grantPermission();
  }

  await $.waitUntilVisible($(#cameraPreview));
});

Use native automation only when required by the feature.

4. Selector & interaction quick reference

Finding widgets:

dart
$('some text')        // by text
$(TextField)          // by type
$(Icons.arrow_back)   // by icon

Tapping:

dart
// Tap a widget containing a specific text label
await $(Container).$('click').tap();

// Tap a container that contains an ElevatedButton
await $(Container).containing(ElevatedButton).tap();

// Tap only the enabled ElevatedButton
await $(ElevatedButton)
    .which<ElevatedButton>(
      (b) => b.enabled,
    )
    .tap();

Entering text:

dart
// Enter text into the second TextField on screen
await $(TextField).at(1).enterText('your input');

Scrolling:

dart
await $(widget_you_want_to_scroll_to).scrollTo();

Native interactions:

dart
// Grant permission while app is in use
await $.native.grantPermissionWhenInUse();

// Open notification shade and tap a notification by text
await $.native.openNotifications();
await $.native.tapOnNotificationBySelector(
  Selector(textContains: 'text'),
);

5. Running Patrol tests

Run all tests:

bash
patrol test

Run a specific file with live reload (development mode):

bash
patrol develop -t integration_test/my_test.dart

Run a specific file:

bash
patrol test --target patrol_test/login_test.dart

Run on web:

bash
patrol test --device chrome

Headless web (CI):

bash
patrol test --device chrome --web-headless true

Filter by tags:

bash
patrol test --tags android

6. Stabilization patterns

Flaky tests undermine confidence. Apply these patterns:

dart
// AVOID — arbitrary delay
await Future.delayed(Duration(seconds: 3));

// PREFER — explicit wait condition
await $.waitUntilVisible($(#targetWidget));

// For animations, pump until settled
await $.pumpAndSettle();
  • Never use Future.delayed as a synchronization mechanism.
  • Use waitUntilVisible or waitUntilExists to wait for UI state.
  • Set settleTimeout in PatrolTesterConfig for slow CI environments.

Output requirements

When applied, this skill produces:

  1. Patrol test(s) covering the specified feature.
  2. Any required widget Key additions to production code.
  3. Exact patrol test command(s) to execute locally.
  4. Notes explaining stabilization or timing decisions.

Checkpoint: Run patrol test --target <file> locally to confirm the test passes before committing.

Quality bar

A valid Patrol test must be:

  • Deterministic — no arbitrary delays; uses explicit wait conditions.
  • Readable — clear test name describing the user journey.
  • Minimal but complete — one assertion chain per journey.
  • Secret-safe — credentials loaded from String.fromEnvironment, never hardcoded.
  • CI-ready — passes headless with --web-headless true or on emulator.

Frequently asked questions

What does the Patrol E2e Testing AI skill do?

Use when writing E2E/integration tests, testing native interactions like permissions or system dialogs, capturing UI regressions, or validating cross-platform behavior (Patrol 4.x).

Why use Patrol E2e Testing on TypingMind?

Because you install it once and use it with any model. Patrol E2e Testing 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 Patrol E2e Testing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/evanca/flutter-ai-rules/tree/main/skills/patrol-e2e-testing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Patrol E2e Testing?

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 Patrol E2e Testing?

As many as you like. As long as a model supports skills, you can use Patrol E2e Testing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Patrol E2e Testing AI skill free?

Yes. It is published on GitHub by evanca 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇