10 boosters for "coverage" — AI-graded, open source, ready to install
This MCP server enables AI coding agents to analyze test coverage from LCOV files, making them coverage-aware while optimizing token usage. It's valuable for developers using Claude Desktop or Code who want to improve code quality by integrating coverage insights into their AI-assisted workflows.
DeployGuard is a Python CLI tool that audits Foundry deployment scripts for security vulnerabilities and best practices, helping developers catch CPIMP vulnerabilities and ensure proper test coverage before deployment. It's designed for Cursor users who want automated security checks integrated into their development workflow.
A code review skill that validates pull requests across multiple languages (Python, JavaScript, TypeScript, React) against acceptance criteria, checking correctness, security, maintainability, and test coverage. Developers and code reviewers use this to ensure quality and consistency before merging.
Enforce test-driven development workflow. Write tests FIRST, then implement minimal code to pass. Ensure 80%+ coverage.
A QA Engineer agent that creates and validates comprehensive test suites with structured coverage analysis, prioritized test case identification, and enforced quality gates. Developers and QA teams benefit from automated test scaffolding and coverage verification across projects.
Senior QA Engineer and SDET specializing in test automation, accessibility validation, and performance testing. Expert in comprehensive testing strategies for video streaming applications with 90% coverage targets and WCAG compliance.
Heuristic scoring (no AI key configured).
A testing specialist agent that writes comprehensive, meaningful tests and debugs failing test suites, with built-in knowledge of modern testing stacks (Vitest, Testing Library, MSW, Playwright). Developers use it to improve test coverage, catch real bugs, and maintain test-driven development practices.
Use when the task involves writing or running unit/integration tests, Playwright end-to-end tests, test coverage analysis, or debugging across frontend and backend, or vertical slices with third-party integrations (Stripe/Auth0/etc.).
A comprehensive Windsurf rules configuration for the kde_colors project that enforces code quality standards, documentation requirements, and development best practices including type hints, test coverage (80%), design patterns, and modern Python tooling (uv, ruff, mypy). Developers working on kde_colors will benefit from standardized code quality and consistent development workflows.
