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.