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Bun Test Mocking

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secondsky
bun-test-mocking

Use for mock functions in Bun tests, spyOn, mock.module, implementations, and test doubles.

Overview

Publishersecondsky
Repositoryclaude-skills
Skill namebun-test-mocking
Stars
219
Forks
31
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 secondsky on GitHub. Read the source before you install it.

Installation

Install the Bun Test Mocking 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.
  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/secondsky/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/plugins/bun/skills/bun-test-mocking .claude/skills/bun-test-mocking
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bun Test Mocking 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 Bun Test Mocking 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 Bun Test Mocking 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.

Bun Test Mocking

Bun provides Jest-compatible mocking with mock(), spyOn(), and module mocking.

Mock Functions

typescript
import { test, expect, mock } from "bun:test";

// Create mock function
const fn = mock(() => "original");

test("mock function", () => {
  fn("arg1", "arg2");

  expect(fn).toHaveBeenCalled();
  expect(fn).toHaveBeenCalledTimes(1);
  expect(fn).toHaveBeenCalledWith("arg1", "arg2");
});

jest.fn() Compatibility

typescript
import { test, expect, jest } from "bun:test";

const fn = jest.fn(() => "value");

test("jest.fn works", () => {
  const result = fn();
  expect(result).toBe("value");
  expect(fn).toHaveBeenCalled();
});

Mock Return Values

typescript
const fn = mock();

// Return value once
fn.mockReturnValueOnce("first");
fn.mockReturnValueOnce("second");

// Permanent return value
fn.mockReturnValue("default");

// Promise returns
fn.mockResolvedValue("resolved");
fn.mockResolvedValueOnce("once");
fn.mockRejectedValue(new Error("fail"));
fn.mockRejectedValueOnce(new Error("once"));

Mock Implementations

typescript
const fn = mock();

// Set implementation
fn.mockImplementation((x) => x * 2);

// One-time implementation
fn.mockImplementationOnce((x) => x * 10);

// Chain implementations
fn
  .mockImplementationOnce(() => "first")
  .mockImplementationOnce(() => "second")
  .mockImplementation(() => "default");

Spy on Methods

typescript
import { test, expect, spyOn } from "bun:test";

const obj = {
  method: () => "original",
};

test("spy on method", () => {
  const spy = spyOn(obj, "method");

  obj.method();

  expect(spy).toHaveBeenCalled();
  expect(obj.method()).toBe("original"); // Still works

  // Override implementation
  spy.mockImplementation(() => "mocked");
  expect(obj.method()).toBe("mocked");

  // Restore
  spy.mockRestore();
  expect(obj.method()).toBe("original");
});

Mock Modules

typescript
import { test, expect, mock } from "bun:test";

// Mock entire module
mock.module("./utils", () => ({
  add: mock(() => 999),
  subtract: mock(() => 0),
}));

// Now imports use mocked version
import { add } from "./utils";

test("mocked module", () => {
  expect(add(1, 2)).toBe(999);
});

Mock Node Modules

typescript
mock.module("axios", () => ({
  default: {
    get: mock(() => Promise.resolve({ data: "mocked" })),
    post: mock(() => Promise.resolve({ data: "created" })),
  },
}));

Mock with Factory

typescript
mock.module("./config", () => {
  return {
    API_URL: "http://test.local",
    DEBUG: true,
  };
});

Mock Assertions

typescript
const fn = mock();

fn("a", "b");
fn("c", "d");

// Call count
expect(fn).toHaveBeenCalled();
expect(fn).toHaveBeenCalledTimes(2);

// Call arguments
expect(fn).toHaveBeenCalledWith("a", "b");
expect(fn).toHaveBeenLastCalledWith("c", "d");
expect(fn).toHaveBeenNthCalledWith(1, "a", "b");

// Return values
fn.mockReturnValue("result");
fn();
expect(fn).toHaveReturned();
expect(fn).toHaveReturnedWith("result");
expect(fn).toHaveReturnedTimes(1);

Mock Properties

typescript
const fn = mock(() => "value");

fn("arg1");
fn("arg2");

// Access call info
fn.mock.calls;        // [["arg1"], ["arg2"]]
fn.mock.results;      // [{ type: "return", value: "value" }, ...]
fn.mock.lastCall;     // ["arg2"]

// Clear history
fn.mockClear();       // Clear calls, keep implementation
fn.mockReset();       // Clear calls + implementation
fn.mockRestore();     // Restore original (for spies)

Common Patterns

Mock Fetch

typescript
import { test, expect, spyOn } from "bun:test";

test("mock fetch", async () => {
  const spy = spyOn(global, "fetch").mockResolvedValue(
    new Response(JSON.stringify({ data: "mocked" }))
  );

  const response = await fetch("/api/data");
  const json = await response.json();

  expect(json.data).toBe("mocked");
  expect(spy).toHaveBeenCalledWith("/api/data");

  spy.mockRestore();
});

Mock Console

typescript
test("mock console", () => {
  const spy = spyOn(console, "log");

  console.log("test message");

  expect(spy).toHaveBeenCalledWith("test message");
  spy.mockRestore();
});

Mock Class Methods

typescript
class UserService {
  async getUser(id: string) {
    // Real implementation
  }
}

test("mock class method", () => {
  const service = new UserService();
  const spy = spyOn(service, "getUser").mockResolvedValue({
    id: "1",
    name: "Test User",
  });

  const user = await service.getUser("1");

  expect(user.name).toBe("Test User");
  expect(spy).toHaveBeenCalledWith("1");
});

Common Errors

ErrorCauseFix
Cannot spy on undefinedProperty doesn't existCheck property name
Not a functionTrying to mock non-functionUse correct mock approach
Already mockedDouble mockingUse mockRestore first
Module not foundWrong module pathCheck path in mock.module

When to Load References

Load references/mock-api.md when:

  • Complete mock/spy API reference
  • Advanced mocking patterns

Load references/module-mocking.md when:

  • Complex module mocking
  • Hoisting behavior details

Frequently asked questions

What does the Bun Test Mocking AI skill do?

Use for mock functions in Bun tests, spyOn, mock.module, implementations, and test doubles.

Why use Bun Test Mocking on TypingMind?

Because you install it once and use it with any model. Bun Test Mocking 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 Bun Test Mocking in TypingMind?

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

Which AI models can use Bun Test Mocking?

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 Bun Test Mocking?

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

Is the Bun Test Mocking AI skill free?

Yes. It is published on GitHub by secondsky 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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