11 boosters for "coverage" — open source, verified from GitHub, ready to install
A specialized agent for security teams that automates SIEM rule development, MITRE ATT&CK mapping, threat hunting, and alert tuning to improve detection coverage and reduce false positives. Benefits SOC engineers, threat hunters, and security operations teams looking to build robust detection pipelines.
This command enforces test-driven development methodology for GROWI. 1. ALL phases of TDD MUST be followed: RED → GREEN → REFACTOR 2. Tests MUST be written BEFORE any implementation code (RED phase)
This skill provides comprehensive guidance for all aspects of Playwright test development, from writing new tests to debugging and maintaining existing test suites. Consult these references based on what you're doing:
Use this skill for analysis-only work and fresh workflow bootstrap. In this repository, use the repo-root wrapper: Run outside sandboxed environments by default. Do not first attempt the Playwright crawl inside the sandbox and then retry after it is intercepted.
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.
"version": "1.54.1", "description": "Sets up your project for effective AI-assisted development — optimized CLAUDE.md files, effective coding guidelines, formatter hooks, built-in code-quality agents, TDD and test coverage, all tailored to your actual codebase.", "name": "oprogramadorreal",
TDD Command enforces test-driven development workflows by guiding developers through the RED-GREEN-REFACTOR cycle with 80%+ coverage targets. Developers prioritizing code quality and test coverage will find this particularly valuable.
QA agent that generates pytest tests and improves test coverage for da_vinci packages, helping developers ensure code quality and reduce manual testing effort.
SDET is a skill that enables AI assistants to design and build comprehensive test automation infrastructure, including end-to-end tests, coverage analysis, and testing strategy. It benefits developers who need robust automated testing frameworks and QA engineers seeking to identify and close testing gaps.
Sam is a Senior QA Engineer agent specializing in test automation, accessibility validation, and performance testing for video streaming applications, helping teams achieve enterprise-level quality with 90% coverage and WCAG compliance.
Alex is a full-stack testing and debugging agent that helps developers write and run unit, integration, and end-to-end tests while debugging across frontend, backend, and third-party integrations. Full-stack engineers and QA teams benefit from streamlined test development and coverage analysis.
