Test Data Generator

Generate deterministic test data with seeds for automation test scenarios.

129|51|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/anhtester/antigravity-testing-kit --skill test-data-generator-anhtester
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Test Data Generator
Source: https://github.com/anhtester/antigravity-testing-kit/tree/main/.agent/skills/test_data_generator
Command: npx skills add https://github.com/anhtester/antigravity-testing-kit --skill test-data-generator-anhtester

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate deterministic and unique test data tailored for automation tests to ensure repeatable results.

Core Features & Use Cases

  • Supports positive, negative, boundary, and edge-case data generation for various fields (email, username, password, etc.)
  • Ensures data uniqueness, determinism with seeds, and full traceability across test runs
  • Facilitates data-driven tests for registrations, logins, form submissions, API payloads, and search queries
  • Provides a clear mechanism to reuse and reproduce generated data in future test cycles

Quick Start

Invoke the data generator with a test name and seed to produce a repeatable set of data for your automation tests.

Frequently Asked Questions about Test Data Generator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate deterministic test data for automation testing?

Generate deterministic test data for automation testing by invoking the generator with a specific seed, which ensures repeatable and unique data sets across all test runs.

Can I generate test data for edge cases and boundary conditions?

Yes, you can generate test data for edge cases and boundary conditions, as the generator supports positive, negative, and edge-case data tailored for form submissions and API payloads.

Why does my test data change between automation test runs?

Test data changes between runs without a fixed seed because the generator requires a seed to enforce determinism, traceability, and consistent reproduction of your unique data sets.

What is the best way to ensure traceability of test data across API payloads?

The best way to ensure traceability of test data across API payloads is to use a seeded data generator that enforces data rules and provides a mechanism to reuse and reproduce data.

Does the test data generator work for login and registration form submissions?

Yes, the test data generator works for login and registration form submissions, facilitating data-driven tests by applying data rules to generate unique emails, usernames, and passwords.