skills/api-testing/SKILL.md
Use this skill when testing REST or GraphQL APIs, implementing contract tests, setting up mock servers, or validating API behavior. Triggers on API testing, Postman, contract testing, Pact, mock servers, MSW, HTTP assertions, response validation, and any task requiring API test automation.
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A comprehensive framework for testing REST and GraphQL APIs with confidence. Covers the full spectrum from unit-level handler tests to cross-service contract tests, with emphasis on what to test at each layer and why - not just syntax. Designed for engineers who can write tests but need opinionated guidance on strategy, tooling, and avoiding common traps.
Trigger this skill when the user:
Do NOT trigger this skill for:
Test behavior, not implementation - Assert on what the API returns to callers, not on how internal functions are wired together. An endpoint test that reaches the router and asserts on status code + response body is worth ten unit tests on internal helpers.
Isolate at the right boundary - Unit tests mock everything below the handler. Integration tests use a real database (test container or in-memory). Contract tests verify only the interface promise. Choose the boundary that catches the most bugs with the least brittleness.
Schema-first assertions - Validate response shape with a schema (Zod, JSON Schema) rather than field-by-field assertions. One schema assertion catches structural regressions that 20 individual assertions would miss.
Contracts are promises, not snapshots - A contract test verifies that a provider will always satisfy what a consumer expects. It must be run on every deploy. A snapshot that drifts silently is worse than no test.
Mock at the network boundary, not inside functions - Use MSW or nock to intercept HTTP calls at the network layer. Mocking individual imported functions couples tests to implementation details and breaks on refactors.
| Type | What it tests | Scope | Speed | |---|---|---|---| | Unit | Handler logic, middleware, validators | Single function | Fast | | Integration | Full request cycle with real DB | Service in isolation | Medium | | Contract | Interface promise between consumer + provider | Two services | Medium | | End-to-end | Complete user journey across services | Full stack | Slow |
Default strategy: Integration tests for business logic (they give the most confidence per line of test code). Unit tests for pure transformation logic. Contract tests at service boundaries. E2E only for the critical happy path.
| Term | Definition | Use for | |---|---|---| | Mock | Records calls and verifies expectations | Verifying side effects (emails sent, events published) | | Stub | Returns canned responses without recording | Replacing slow/expensive dependencies | | Fake | Working implementation of a lighter version | In-memory DB, in-process message queue |
Prefer fakes over stubs over mocks. Mocks that verify call counts are fragile and break whenever you refactor internal wiring.
Validate response schemas at the integration test level. Use Zod because it:
Supertest binds directly to an Express/Fastify app without starting a real HTTP server. Use it for integration tests that exercise the full request pipeline.
// tests/users.test.ts
import request from 'supertest';
import { app } from '../src/app';
import { db } from '../src/db';
beforeEach(async () => {
await db.migrate.latest();
await db.seed.run();
});
afterEach(async () => {
await db.migrate.rollback();
});
describe('GET /users/:id', () => {
it('returns 200 with user data for a valid id', async () => {
const res = await request(app)
.get('/users/1')
.set('Authorization', 'Bearer test-token')
.expect(200);
expect(res.body).toMatchObject({
id: 1,
email: expect.stringContaining('@'),
createdAt: expect.any(String),
});
});
it('returns 404 when user does not exist', async () => {
const res = await request(app)
.get('/users/99999')
.set('Authorization', 'Bearer test-token')
.expect(404);
expect(res.body).toMatchObject({
type: expect.stringContaining('not-found'),
status: 404,
});
});
it('returns 401 when no auth token is provided', async () => {
await request(app).get('/users/1').expect(401);
});
});
Use @apollo/server test utilities to execute operations in-process. This
avoids the overhead of HTTP while still exercising the full resolver chain.
// tests/graphql/users.test.ts
import { ApolloServer } from '@apollo/server';
import { typeDefs } from '../src/schema';
import { resolvers } from '../src/resolvers';
import { createTestContext } from './helpers/context';
let server: ApolloServer;
beforeAll(async () => {
server = new ApolloServer({ typeDefs, resolvers });
await server.start();
});
afterAll(async () => {
await server.stop();
});
describe('Query.user', () => {
it('returns user fields when authenticated', async () => {
const { body } = await server.executeOperation(
{
query: `query GetUser($id: ID!) {
user(id: $id) { id email createdAt }
}`,
variables: { id: '1' },
},
{ contextValue: createTestContext({ userId: 'viewer-1' }) }
);
expect(body.kind).toBe('single');
if (body.kind === 'single') {
expect(body.singleResult.errors).toBeUndefined();
expect(body.singleResult.data?.user).toMatchObject({
id: '1',
email: expect.any(String),
});
}
});
it('returns null for a user that does not exist', async () => {
const { body } = await server.executeOperation(
{ query: `query { user(id: "nonexistent") { id } }` },
{ contextValue: createTestContext({ userId: 'viewer-1' }) }
);
if (body.kind === 'single') {
expect(body.singleResult.data?.user).toBeNull();
}
});
});
For detailed Pact consumer and provider verification examples, see references/contract-and-auth-testing.md.
MSW intercepts at the Service Worker level in browsers and at the network layer in Node.js. Use it to replace real API calls in tests without patching imports.
// tests/msw/handlers.ts
import { http, HttpResponse } from 'msw';
export const handlers = [
http.get('https://api.example.com/users/:id', ({ params }) => {
if (params.id === '404') {
return HttpResponse.json({ type: 'not-found', status: 404 }, { status: 404 });
}
return HttpResponse.json({ id: params.id, email: '[email protected]' });
}),
http.post('https://api.example.com/orders', async ({ request }) => {
const body = await request.json();
return HttpResponse.json({ id: 'order-1', ...body }, { status: 201 });
}),
];
// tests/setup.ts
import { setupServer } from 'msw/node';
import { handlers } from './msw/handlers';
export const server = setupServer(...handlers);
beforeAll(() => server.listen({ onUnhandledRequest: 'error' }));
afterEach(() => server.resetHandlers());
afterAll(() => server.close());
// Override handlers for a single test
it('handles API errors gracefully', async () => {
server.use(
http.get('https://api.example.com/users/1', () =>
HttpResponse.json({ message: 'Internal Server Error' }, { status: 500 })
)
);
// test code...
});
Define schemas once and use them in both production code and tests. A failed schema parse gives a precise error pointing to exactly which field is wrong.
// src/schemas/user.ts
import { z } from 'zod';
export const UserSchema = z.object({
id: z.string().uuid(),
email: z.string().email(),
role: z.enum(['admin', 'user', 'viewer']),
createdAt: z.string().datetime(),
profile: z.object({
displayName: z.string().min(1),
avatarUrl: z.string().url().nullable(),
}),
});
export type User = z.infer<typeof UserSchema>;
// tests/users.schema.test.ts
import request from 'supertest';
import { app } from '../src/app';
import { UserSchema } from '../src/schemas/user';
it('GET /users/:id response conforms to UserSchema', async () => {
const res = await request(app)
.get('/users/1')
.set('Authorization', 'Bearer test-token')
.expect(200);
const result = UserSchema.safeParse(res.body);
if (!result.success) {
throw new Error(`Schema validation failed: ${result.error.message}`);
}
});
// Validate a list response
it('GET /users response items conform to UserSchema', async () => {
const res = await request(app).get('/users').expect(200);
const listSchema = z.object({
data: z.array(UserSchema),
pagination: z.object({ nextCursor: z.string().nullable(), hasNextPage: z.boolean() }),
});
expect(() => listSchema.parse(res.body)).not.toThrow();
});
For detailed authentication flow test examples (missing token, expired token, wrong scope, valid token), see references/contract-and-auth-testing.md.
Error paths are the most likely to be undertested. Cover 4xx and 5xx responses explicitly, including the shape of error bodies.
// tests/error-handling.test.ts
import request from 'supertest';
import { app } from '../src/app';
import { db } from '../src/db';
describe('Error handling', () => {
it('returns RFC 7807 error format for 422 validation failures', async () => {
const res = await request(app)
.post('/users')
.set('Authorization', 'Bearer test-token')
.send({ email: 'not-an-email' })
.expect(422);
expect(res.body).toMatchObject({
type: expect.stringContaining('validation'),
title: expect.any(String),
status: 422,
errors: expect.arrayContaining([
expect.objectContaining({ field: 'email' }),
]),
});
});
it('returns 409 when creating a user with a duplicate email', async () => {
await request(app)
.post('/users')
.set('Authorization', 'Bearer test-token')
.send({ email: '[email protected]', password: 'secret123' })
.expect(201);
await request(app)
.post('/users')
.set('Authorization', 'Bearer test-token')
.send({ email: '[email protected]', password: 'secret123' })
.expect(409);
});
it('does not leak stack traces in 500 responses', async () => {
jest.spyOn(db, 'query').mockRejectedValueOnce(new Error('DB connection lost'));
const res = await request(app)
.get('/users/1')
.set('Authorization', 'Bearer test-token')
.expect(500);
expect(JSON.stringify(res.body)).not.toContain('Error:');
expect(JSON.stringify(res.body)).not.toContain('at ');
expect(res.body.status).toBe(500);
});
it('returns 400 for malformed JSON body', async () => {
await request(app)
.post('/users')
.set('Authorization', 'Bearer test-token')
.set('Content-Type', 'application/json')
.send('{ invalid json }')
.expect(400);
});
});
| Mistake | Why it's wrong | What to do instead |
|---|---|---|
| Testing only the happy path | Error paths are where bugs live in production; clients rely on error contracts too | Cover 401, 403, 404, 409, 422, 500 for every resource |
| Mocking the module under test | Circular: if you mock the handler, you're not testing the handler | Mock dependencies (DB, HTTP calls), not the code being tested |
| Sharing state between tests | One test leaks data into the next; flaky tests that fail in suites but pass alone | Seed and tear down in beforeEach/afterEach; use transactions that roll back |
| Contract tests that are just snapshots | Snapshots catch no semantic regressions; they auto-update and drift silently | Use Pact with structured matchers; run provider verification in CI |
| Testing internal implementation details | Tests break on refactors even when behavior is unchanged; slows iteration | Test via the public HTTP interface; verify outputs, not internal calls |
| Ignoring response headers | Security and cache headers are part of the contract; clients depend on them | Assert Content-Type, Cache-Control, X-Request-Id, and auth headers |
Shared test database state causes flaky tests - Tests that don't clean up after themselves leave rows that cause unique constraint failures or wrong counts in subsequent tests. The tests pass in isolation but fail in suites. Use database transactions that roll back after each test, or seed and truncate in beforeEach/afterEach.
MSW onUnhandledRequest: 'warn' silently passes unmocked calls - With the default warn setting, any request not matched by a handler goes through to the real network. In CI this causes non-deterministic test behavior. Set onUnhandledRequest: 'error' so unmatched requests fail loudly.
Supertest doesn't start a real server but shares app state - Supertest binds to the app instance. If the app has module-level singletons (connection pools, caches), those persist across tests. Make sure database and cache connections are properly reset between test runs, or tests will interfere with each other.
Pact consumer tests passing doesn't mean provider will pass - Consumer Pact tests only verify that the mock returns the expected shape. The provider verification step (running against the real provider) is where real contract drift is caught. Both steps must run in CI; running only the consumer half gives false confidence.
Schema validation with .toMatchObject() misses extra fields - Jest's toMatchObject does a partial match: extra fields on the response body pass silently. If the API starts leaking sensitive fields (passwords, internal IDs), these tests won't catch it. Use Zod's strict() mode or exact schema validation for security-sensitive fields.
For detailed patterns on specific tools and setups, read the relevant file from
the references/ folder:
references/msw-patterns.md - MSW setup for Node.js and browser environments,
handler patterns, and recipes for common scenariosreferences/contract-and-auth-testing.md - Pact consumer/provider contract testing and authentication flow test examplesOnly load a references file when the current task requires it - they are detailed and will consume context.
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