What problem does it solve? Test suites often contain tests that pass but verify nothing, are flaky, or are hard to maintain, giving teams false confidence in their code. This Skill audits existing test files to find these hidden quality issues and ranks them by severity so you know what to fix first. ## Core Features & Use Cases - Severity-Ranked Anti-Pattern Detection: Scans tests for Critical issues (no assertions, swallowed exceptions, missing await on async assertions), High issues (flakiness from Thread.Sleep or DateTime.Now, shared state, over-mocking), and Medium/Low issues (magic values, duplicate tests, poor naming). - Multi-Language Support: Works with .NET, Python/pytest, TypeScript/Jest, Java, Go, Ruby, Rust, C++, and PowerShell/Pester by loading language-specific extension guidance. - Honest Calibration: Avoids false positives by recognizing idiomatic patterns like Go table-driven tests and pytest bare asserts, and leads with positive observations when tests are well-written. - Use Case: Point the Skill at a test directory and ask "are my tests any good?" to receive a structured report listing each finding with file location, explanation, and a concrete before/after fix. ## Quick Start Audit the test files in my project's tests folder and report any anti-patterns ranked by severity.
