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
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Updated
Oct 16, 2026 - HTML
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.
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.
Static analysis tool that scores TypeScript tests across 6 quality dimensions. Works with Jest, Vitest, Playwright, Cypress, and Mocha.
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.
Mutation-tests every test your coding agent writes and blocks 'done' until the score passes (default 80%, up to two rounds). Claude Code, Codex, OpenCode, Pi. Java, Kotlin, Python, TS/JS, Go, C#.
Mutation testing for GDScript and Godot: find the bugs your green tests would miss.
Static Playwright test-quality grading with actionable findings and example reports.
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.
Automated chaos testing for Python — fault injection, property assertions, and stateful exploration
Find false-green tests: tests that pass without verifying anything. Deterministic Python/pytest AST scanner (C1-C59 + PL config-audit), zero-dep, CI-ready.
Run a canfail declaration in one GitHub Actions step, and fail for a stated reason.
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.
An auditing engine for code you did not write. certify plants faults and runs YOUR suite against each one; review hands the code to a cold agent that must prove every claim with a script corral runs. Each verdict is a signed, hash-linked entry on a git branch any DuckDB queries straight off GitHub.
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.
Your tests are green. Here's what they don't catch — LLM-generated mutation testing for pytest suites
Side Project for Quality Assurance.
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