test-quality

AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix

Mutation Testing for Ruby

Playwright and Cypress skills for Claude Code and Codex: generate tests, catch false-green tests and test smells, debug failures.

🧪 Intelligent test analysis tool that finds duplicate and redundant tests using coverage analysis. Improve test suite quality with detailed reports and pytest integration.

Static analysis tool that scores TypeScript tests across 6 quality dimensions. Works with Jest, Vitest, Playwright, Cypress, and Mocha.

Find weak tests before they become a false-green CI. Deterministic test-effectiveness analysis for JavaScript & TypeScript: no-assertion & trivial-assertion detection, 0-100 suite score, PR reviews via GitHub Action. Zero config: npx trashtests scan. Works with Jest, Vitest, Mocha & Ava.

AI-powered GitHub Action that analyzes test quality, provides scores, identifies issues, and suggests improvements through OpenAI's GPT models. Posts detailed reports directly to your pull requests.

Grade your Playwright tests A-F. Lighthouse for test quality. No API keys, no cloud, runs in 2 seconds. Works with any test source — hand-written, Claude-generated, Copilot-generated.

Local-first MCP server that runs isolated mutation testing against a codebase to expose the gaps its test suite does not cover. Wraps StrykerJS, cosmic-ray, cargo-mutants and Infection behind one tool surface.

Find false-green tests: tests that pass without verifying anything. Deterministic Python/pytest AST scanner (C1-C59 + PL config-audit), zero-dep, CI-ready.

Automated chaos testing for Python — fault injection, property assertions, and stateful exploration

Mutation testing for GDScript and Godot: find the bugs your green tests would miss.

Measure what your tests actually catch, not just what they execute. Diff-scoped mutation testing plus the survivor-triage procedure. A Claude Code skill.

Finds CI steps that verify something and cannot report that it is wrong — continue-on-error, pipes without pipefail, || true, and the shells with no fail-fast.

Your agent said it's done. unfaked checks whether it made that true, or just made the check pass. Zero dependencies, no LLM.

Static analyzer for React tests that finds UI behaviors exercised but not explicitly verified. Testing Library, Jest/Vitest, and Material UI.

Verification system that catches coding agents falsely claiming task completion. Runs 4 parallel checks (file integrity, test quality, scope narrowing, optional LLM judge) over task+claim+diff and returns a weighted 0-100 confidence score with evidence.

Side Project for Quality Assurance.

Generate a self-contained pytest test dashboard with CRAP scores and a test-to-function coverage matrix.

Your tests are green. Here's what they don't catch — LLM-generated mutation testing for pytest suites