Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Generates mock API servers from OpenAPI specs or example requests. Supports realistic fake data generation, configurable response delays, and error simulation to replicate production API behavior during development.
Combining OpenAPI spec parsing with delay control and error simulation in one tool removes the need to maintain separate mock servers or modify real APIs for testing.
When to use it
- Testing frontend components before the backend API is ready
- Simulating slow or failing endpoints during QA
- Running integration tests without hitting third-party rate limits
- Demoing app features without live credentials or a live backend
- Developing against a new API version before it deploys
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Generate a mock server from this OpenAPI spec for a payments API
- 1Parses the OpenAPI specification and extracts all endpoint definitions
- 2Generates realistic fake data conforming to each response schema
- 3Configures per-endpoint response delays and error rates
- 4Produces a runnable mock server with all routes and handlers defined
- 5Provides startup instructions and example curl commands for testing
A local mock server that responds to all defined API endpoints with schema-valid fake data, simulated latency, and configurable error responses