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Swift Testing

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bocato
swift-testing

Expert guidance on Swift Testing best practices, patterns, and implementation. Use when developers mention: (1) Swift Testing, @Test, #expect, #require, or @Suite, (2) "use Swift Testing" or "modern testing patterns", (3) test doubles, mocks, stubs, spies, or fixtures, (4) unit tests, integration tests, or snapshot tests, (5) migrating from XCTest to Swift Testing, (6) TDD, Arrange-Act-Assert, or F.I.R.S.T. principles, (7) parameterized tests or test organization.

Overview

Publisherbocato
Repositoryswift-testing-agent-skill
Skill nameswift-testing
Stars
80
Forks
3
Bundled files
10
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.

  • 10 bundled files

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

  • Open source

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

Installation

Install the Swift 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/bocato/swift-testing-agent-skill/tree/main/swift-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/bocato/swift-testing-agent-skill.git /tmp/swift-testing-agent-skill
mkdir -p .claude/skills
cp -r /tmp/swift-testing-agent-skill/swift-testing .claude/skills/swift-testing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Swift 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 Swift 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 Swift 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.

Swift Testing

Overview

This skill provides expert guidance on Swift Testing, covering the modern Swift Testing framework, test doubles (mocks, stubs, spies), fixtures, integration testing, snapshot testing, and migration from XCTest. Use this skill to help developers write reliable, maintainable tests following F.I.R.S.T. principles and Arrange-Act-Assert patterns.

Agent Behavior Contract (Follow These Rules)

  1. Use Swift Testing framework (@Test, #expect, #require, @Suite) for all new tests, not XCTest.
  2. Always structure tests with clear Arrange-Act-Assert phases.
  3. Follow F.I.R.S.T. principles: Fast, Isolated, Repeatable, Self-Validating, Timely.
  4. Use proper test double terminology per Martin Fowler's taxonomy (Dummy, Fake, Stub, Spy, SpyingStub, Mock).
  5. Place fixtures close to models with #if DEBUG, not in test targets.
  6. Place test doubles close to interfaces with #if DEBUG, not in test targets.
  7. Prefer state verification over behavior verification - simpler, less brittle tests.
  8. Use #expect for soft assertions (continue on failure) and #require for hard assertions (stop on failure).

Quick Decision Tree

When a developer needs testing guidance, follow this decision tree:

  1. Starting fresh with Swift Testing?

    • Read references/test-organization.md for suites, tags, traits
    • Read references/async-testing.md for async test patterns
  2. Need to create test data?

    • Read references/fixtures.md for fixture patterns and placement
    • Read references/test-doubles.md for mock/stub/spy patterns
  3. Testing multiple inputs?

    • Read references/parameterized-tests.md for parameterized testing
  4. Testing module interactions?

    • Read references/integration-testing.md for integration test patterns
  5. Testing UI for regressions?

    • Read references/snapshot-testing.md for snapshot testing setup
  6. Testing data structures or state?

    • Read references/dump-snapshot-testing.md for text-based snapshot testing
  7. Migrating from XCTest?

    • Read references/migration-xctest.md for migration guide

Triage-First Playbook (Common Errors -> Next Best Move)

  • "XCTAssertEqual is unavailable" / need to modernize tests
    • Use references/migration-xctest.md for XCTest to Swift Testing migration
  • Need to test async code
    • Use references/async-testing.md for async patterns, confirmation, timeouts
  • Tests are slow or flaky
    • Check F.I.R.S.T. principles, use proper mocking per references/test-doubles.md
  • Need deterministic test data
    • Use references/fixtures.md for fixture patterns with fixed dates
  • Need to test multiple scenarios efficiently
    • Use references/parameterized-tests.md for parameterized testing
  • Need to verify component interactions
    • Use references/integration-testing.md for integration test patterns

Core Syntax

Basic Test

swift
import Testing

@Test func basicTest() {
    #expect(1 + 1 == 2)
}

Test with Description

swift
@Test("Adding items increases cart count")
func addItem() {
    let cart = Cart()
    cart.add(item)
    #expect(cart.count == 1)
}

Async Test

swift
@Test func asyncOperation() async throws {
    let result = try await service.fetch()
    #expect(result.isValid)
}

Arrange-Act-Assert Pattern

Structure every test with clear phases:

swift
@Test func calculateTotal() {
    // Given
    let cart = ShoppingCart()
    cart.add(Item(price: 10))
    cart.add(Item(price: 20))

    // When
    let total = cart.calculateTotal()

    // Then
    #expect(total == 30)
}

Assertions

#expect - Soft Assertion

Continues test execution after failure:

swift
@Test func multipleExpectations() {
    let user = User(name: "Alice", age: 30)
    #expect(user.name == "Alice")  // If fails, test continues
    #expect(user.age == 30)        // This still runs
}

#require - Hard Assertion

Stops test execution on failure:

swift
@Test func requireExample() throws {
    let user = try #require(fetchUser())  // Stops if nil
    #expect(user.name == "Alice")
}

Error Testing

swift
@Test func throwsError() {
    #expect(throws: ValidationError.self) {
        try validate(invalidInput)
    }
}

@Test func throwsSpecificError() {
    #expect(throws: ValidationError.emptyField) {
        try validate("")
    }
}

F.I.R.S.T. Principles

PrincipleDescriptionApplication
FastTests execute in millisecondsMock expensive operations
IsolatedTests don't depend on each otherFresh instance per test
RepeatableSame result every timeMock dates, network, external deps
Self-ValidatingAuto-report pass/failUse #expect, never rely on print()
TimelyWrite tests alongside codeUse parameterized tests for edge cases

Test Double Quick Reference

Per Martin Fowler's definition:

TypePurposeVerification
DummyFill parameters, never usedN/A
FakeWorking implementation with shortcutsState
StubProvides canned answersState
SpyRecords calls for verificationState
SpyingStubStub + Spy combined (most common)State
MockPre-programmed expectations, self-verifiesBehavior

Important: What Swift community calls "Mock" is usually a SpyingStub.

For detailed patterns, see references/test-doubles.md.

Test Double Placement

Place test doubles close to the interface, not in test targets:

swift
// In PersonalRecordsCore-Interface/Sources/...

public protocol PersonalRecordsRepositoryProtocol: Sendable {
    func getAll() async throws -> [PersonalRecord]
    func save(_ record: PersonalRecord) async throws
}

#if DEBUG
public final class PersonalRecordsRepositorySpyingStub: PersonalRecordsRepositoryProtocol {
    // Spy: Captured calls
    public private(set) var savedRecords: [PersonalRecord] = []

    // Stub: Configurable responses
    public var recordsToReturn: [PersonalRecord] = []
    public var errorToThrow: Error?

    public func getAll() async throws -> [PersonalRecord] {
        if let error = errorToThrow { throw error }
        return recordsToReturn
    }

    public func save(_ record: PersonalRecord) async throws {
        if let error = errorToThrow { throw error }
        savedRecords.append(record)
    }
}
#endif

Fixtures

Place fixtures close to the model:

swift
// In Sources/Models/PersonalRecord.swift

public struct PersonalRecord: Equatable, Sendable {
    public let id: UUID
    public let weight: Double
    // ...
}

#if DEBUG
extension PersonalRecord {
    public static func fixture(
        id: UUID = UUID(),
        weight: Double = 100.0
        // ... defaults for all properties
    ) -> PersonalRecord {
        PersonalRecord(id: id, weight: weight)
    }
}
#endif

For detailed patterns, see references/fixtures.md.

Test Pyramid

        +-------------+
        |   UI Tests  |  5%  - End-to-end flows
        |   (E2E)     |
        +-------------+
        | Integration |  15% - Module interactions
        |    Tests    |
        +-------------+
        |    Unit     |  80% - Individual components
        |    Tests    |
        +-------------+

Reference Files

Load these files as needed for specific topics:

  • test-organization.md - Suites, tags, traits, parallel execution
  • parameterized-tests.md - Testing multiple inputs efficiently
  • async-testing.md - Async patterns, confirmation, timeouts, cancellation
  • migration-xctest.md - Complete XCTest to Swift Testing migration guide
  • test-doubles.md - Complete taxonomy with examples (Dummy, Fake, Stub, Spy, SpyingStub, Mock)
  • fixtures.md - Fixture patterns, placement, and best practices
  • integration-testing.md - Module interaction testing patterns
  • snapshot-testing.md - UI regression testing with SnapshotTesting library
  • dump-snapshot-testing.md - Text-based snapshot testing for data structures

Best Practices Summary

  1. Use Swift Testing for new tests - Modern syntax, better features
  2. Follow Arrange-Act-Assert - Clear test structure
  3. Apply F.I.R.S.T. principles - Fast, Isolated, Repeatable, Self-Validating, Timely
  4. Place fixtures near models - With #if DEBUG guards
  5. Place test doubles near interfaces - With #if DEBUG guards
  6. Prefer state verification - Simpler, less brittle than behavior verification
  7. Use parameterized tests - For testing multiple inputs efficiently
  8. Follow test pyramid - 80% unit, 15% integration, 5% UI

Verification Checklist (When You Write Tests)

  • Tests follow Arrange-Act-Assert pattern
  • Test names describe behavior, not implementation
  • Fixtures use sensible defaults, not random values
  • Test doubles are minimal (only stub what's needed)
  • Async tests use proper patterns (async/await, confirmation)
  • Tests are fast (mock expensive operations)
  • Tests are isolated (no shared state)
  • Tests are repeatable (no flaky date/time dependencies)

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 Swift Testing AI skill do?

Expert guidance on Swift Testing best practices, patterns, and implementation. Use when developers mention: (1) Swift Testing, @Test, #expect, #require, or @Suite, (2) "use Swift Testing" or "modern testing patterns", (3) test doubles, mocks, stubs, spies, or fixtures, (4) unit tests, integration tests, or snapshot tests, (5) migrating from XCTest to Swift Testing, (6) TDD, Arrange-Act-Assert, or F.I.R.S.T. principles, (7) parameterized tests or test organization.

Why use Swift Testing on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bocato/swift-testing-agent-skill/tree/main/swift-testing. 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 Swift 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 Swift Testing?

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

Is the Swift Testing AI skill free?

Yes. It is published on GitHub by bocato 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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