Is this skill specific to financial data?

While it includes specialized patterns for VC and financial modeling, its core factory and batch generation principles apply to any software domain requiring robust data testing.

What are golden datasets?

Golden datasets are reference data validated against external sources of truth, such as Excel calculations or manual audits, used to verify high-stakes logic like financial IRR.

What is a test fixture factory?

A factory is a function that creates test objects with sensible defaults, allowing you to override only the specific fields needed for a particular test case to reduce boilerplate.

How does this skill handle schema changes?

It includes patterns for validating fixtures against schemas like Zod or Drizzle in your CI pipeline, ensuring that test data never drifts from your production models.

Can I generate random data for stress testing?

Yes, the skill provides patterns for batch generators that use seeded randomness, ensuring that large-scale datasets are both varied and deterministic for reproducible failures.

Test Fixture Generator

Name: Test Fixture Generator
Author: nikhillinit

bynikhillinit

Security & Testing

Standardizes the creation of maintainable, type-safe test data through factories and golden datasets to ensure consistent testing environments.

About

The Test Fixture Generator skill provides a structured framework for generating test data, moving away from brittle, hard-coded fixtures toward robust factory functions and version-controlled golden datasets. It enables developers to create complex, relational data structures with sensible defaults, perform stress testing with seeded random batch generators, and maintain strict synchronization between fixtures and application schemas. Especially powerful for domain-specific logic like financial modeling, it helps prevent fixture drift and ensures tests remain reproducible and easy to maintain as codebases evolve.

Key Features

Factory Function Pattern for type-safe entity generation with sensible defaults
Golden Dataset management for validating complex calculations against external sources
Automated Schema Synchronization to catch drift between fixtures and data models
Deterministic Batch Generators using seeded randomness for reproducible stress testing
Domain-specific patterns for financial fixtures, including cash flows and waterfalls
0 GitHub stars

Use Cases

Validating financial algorithms against known-correct 'golden' Excel calculations
Generating large-scale synthetic datasets for performance and stress testing
Refactoring hard-coded test data into reusable, maintainable factory functions

About

Key Features

Factory Function Pattern for type-safe entity generation with sensible defaults
Golden Dataset management for validating complex calculations against external sources
Automated Schema Synchronization to catch drift between fixtures and data models
Deterministic Batch Generators using seeded randomness for reproducible stress testing
Domain-specific patterns for financial fixtures, including cash flows and waterfalls
0 GitHub stars

Use Cases

Validating financial algorithms against known-correct 'golden' Excel calculations
Generating large-scale synthetic datasets for performance and stress testing
Refactoring hard-coded test data into reusable, maintainable factory functions