Skill · AI & Development

API Contract Tester

Generates a contract-testing suite for an API you describe — schema, error-path and compatibility checks.

Category
AI & Development
Deliverable
1 .skill bundle
Outputs
5
Last updated
19 Jun 2026
$5 One-time · lifetime updates
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Overview

What API Contract Tester does.

API Contract Tester takes an OpenAPI/Swagger spec, a Postman collection, or a plain prose description of your endpoints and produces a structured, framework-ready test suite covering five classes: happy-path responses validated against the response schema (not just status codes), input validation and boundary cases, contract conformance, authorization checks, and defensive security edge cases. It opens by reconstructing the implied contract if your input is informal, then builds a coverage matrix mapping every endpoint, method, and documented status code to a test ID before writing a single line of code.

Give it a spec for a REST API — say, a checkout service accepting your niche's domain objects — plus your preferred stack (pytest + httpx, Jest + supertest, RestAssured, or similar) and your auth model. It will also run in AUDIT mode: paste in an existing test suite and it returns a scored gap table ranked by risk-to-effort ratio, identifying every endpoint tested only by status code, every missing 4xx path, and every absent authorization check.

Sample output excerpt — Coverage matrix row and matching test stub: Endpoint: POST /orders | Case: validation | Assert: 400 on missing `customer_id` | Test ID: T-002 test('T-002 POST /orders returns 400 when customer_id is absent', async () => { const res = await client.post('/orders').send({ items: [{ sku: 'X1', qty: 1 }] }); expect(res.status).toBe(400); expect(res.body).toMatchSchema(errorResponseSchema); });

Who it's for

Backend and API developers who need confidence that a REST/JSON API holds its contract across deploys — particularly useful when onboarding a new service, preparing for a breaking-change release, or inheriting a codebase whose test suite covers only the happy path. QA engineers asked to review API coverage without rewriting everything from scratch also benefit from the AUDIT mode.

What you get

One skill. 5 outputs.

One .skill bundle. Run it on your material and it returns:

01

Contract test plan

02

Schema validation cases

03

Error-path + status-code cases

04

Backward-compatibility checks

05

Runnable test outline

How it works

Three steps. About two minutes.

Install

Add the .skill file to your Claude app. ~10 seconds.

Run it on your work

Invoke the skill and paste in your material.

Apply the output

Review, keep what works, and use it.

In depth

Why a Claude skill beats a prompt template.

A copy-paste prompt runs one static pass and stops. A skill is a bundled program — instructions, examples, and a workflow Claude runs as a unit: it asks for the right input, applies the same pattern every time, and returns the structured outputs above.

FAQ

Common questions.

What input does the skill actually need to get started?

An OpenAPI/Swagger spec is ideal, but a Postman collection or a plain English description of your endpoints, methods, parameters, and expected status codes works too. For incomplete inputs it will reconstruct the implied contract and show it back to you for confirmation before generating tests.

Which test frameworks does it output code for?

You specify the framework and language; it targets whatever you name — Jest with supertest, pytest with httpx, RestAssured, Go's testing package, Vitest, and others. If you do not specify, it defaults to Jest and supertest and says so.

What is the difference between GENERATE mode and AUDIT mode?

GENERATE builds a full suite from a spec or description. AUDIT takes an existing test suite, scores it against the contract, and returns a gap table sorted by risk squared divided by effort — so you know exactly which missing tests matter most to add first.

Does it produce tests for authorization and security, or just functional cases?

Yes. Every endpoint gets at least one authorization test (no token yields 401, wrong scope yields 403) and defensive security checks such as IDOR probes, oversized payload rejection, and ensuring error bodies do not leak sensitive data. These are conformance checks, not exploitation tooling.

Will the generated tests actually run, or are they pseudocode?

The output is real, runnable code in your chosen framework with shared setup, auth helpers, fixture factories, and a CI config snippet. Tests are written to be isolated and idempotent so re-running the suite on a clean environment produces consistent results.

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