What formats can the test data be generated in?

The skill can provide data in structured formats such as JSON or formatted as data files ready for direct database insertion.

Is it possible to generate large volumes of data for load testing?

Absolutely. The skill is optimized to handle high-volume requests, making it suitable for creating the datasets required for performance and stress testing.

Can I generate data based on my own custom database schema?

Yes, you can provide a specific schema or data model, and the skill will ensure all generated records adhere to your defined structure.

Does the generator support international data formats?

Yes, you can specify desired locales to ensure names, addresses, and phone numbers reflect regional variations and specific language requirements.

Test Data Generator

Name: Test Data Generator
Author: BbgnsurfTech

byBbgnsurfTech

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安全与测试

Generates realistic, schema-compliant test data for software development, database population, and automated testing scenarios.

关于

This skill streamlines the creation of diverse and realistic datasets, enabling developers to simulate real-world conditions within testing environments. By leveraging the test-data-generator plugin, it automates the production of user profiles, product catalogs, and complex transaction records. Whether you need to seed a new database, create mock API responses, or conduct high-volume performance testing, this skill ensures your test data is consistent, high-quality, and tailored to your specific architectural requirements.

主要功能

Schema-based custom data generation
Reproducible datasets using seed values
Locale-specific formatting for regional accuracy
Realistic user, product, and order simulations
3 GitHub stars
JSON and structured file-based data exporting

使用场景

Creating mock payloads for frontend development and API integration testing
Generating massive datasets to perform stress and load testing on databases
Populating staging environments with realistic data for client demonstrations

关于

主要功能

Schema-based custom data generation
Reproducible datasets using seed values
Locale-specific formatting for regional accuracy
Realistic user, product, and order simulations
3 GitHub stars
JSON and structured file-based data exporting

使用场景

Creating mock payloads for frontend development and API integration testing
Generating massive datasets to perform stress and load testing on databases
Populating staging environments with realistic data for client demonstrations