Does this skill help with multi-tenant application testing?

Yes, it includes specific implementation patterns and fixtures to verify strict tenant isolation, ensuring data from one tenant is never accessible to another.

What frameworks does this testing strategy support?

It provides comprehensive support, project structures, and configurations for Vitest (TypeScript) and pytest (Python).

Why is Doppler used in this testing strategy?

Doppler is utilized to securely manage and inject sensitive environment variables, such as test database URLs and API keys, ensuring no secrets are stored in local .env files.

How is code coverage enforced?

The strategy mandates a minimum of 80% code coverage for all projects, which is enforced via CI/CD thresholds to block unstable merges.

Grey Haven Testing Strategy

Name: Grey Haven Testing Strategy
Author: greyhaven-ai

bygreyhaven-ai

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安全与测试

Standardizes comprehensive testing workflows for TypeScript and Python projects using Vitest, pytest, and industry-leading coverage standards.

关于

This skill implements a robust testing framework designed for professional software development, specifically tailored for Vitest (TypeScript) and pytest (Python) environments. It enforces a strict 80% minimum code coverage policy and provides standardized patterns for unit, integration, and E2E testing, including specialized support for multi-tenant isolation and secure environment variable management via Doppler. It is ideal for developers looking to automate high-quality testing suites, configure CI/CD pipelines, and ensure production-grade reliability across full-stack applications.

主要功能

Production-ready CI/CD templates for GitHub Actions
Advanced testing patterns for multi-tenant isolation and database fixtures
Secure secret management integration using Doppler CLI
15 GitHub stars
Standardized Vitest and pytest configurations with custom markers
Strict 80% minimum code coverage enforcement and reporting

使用场景

Implementing end-to-end testing flows with Playwright and specialized factories
Debugging complex test failures and improving code coverage metrics
Setting up a new testing infrastructure for a Python backend or TypeScript frontend

关于

主要功能

Production-ready CI/CD templates for GitHub Actions
Advanced testing patterns for multi-tenant isolation and database fixtures
Secure secret management integration using Doppler CLI
15 GitHub stars
Standardized Vitest and pytest configurations with custom markers
Strict 80% minimum code coverage enforcement and reporting

使用场景

Implementing end-to-end testing flows with Playwright and specialized factories
Debugging complex test failures and improving code coverage metrics
Setting up a new testing infrastructure for a Python backend or TypeScript frontend