What problem does it solve? Test suites often contain tests that pass but verify nothing, are flaky, or are hard to maintain. This Skill audits existing test code to find anti-patterns like missing assertions, swallowed exceptions, and order-dependent tests, then ranks findings by severity so you know what to fix first. ## Core Features & Use Cases - Multi-language anti-pattern detection: Scans tests in .NET, Python/pytest, TypeScript/Jest, Java, Go, Ruby, Rust, C++, and PowerShell for Critical, High, Medium, and Low severity issues. - Severity-ranked reporting: Produces a structured report with specific file and line locations, explanations, and concrete before/after fixes for Critical and High findings. - False-positive calibration: Recognizes idiomatic patterns like Go table-driven tests and pytest bare asserts, and honestly reports when tests are well-written. - Use Case: Point the Skill at a flaky pytest suite and receive a report identifying un-awaited async assertions as Critical, shared module-level state as High, and magic values as Medium, each with a targeted fix. ## Quick Start Audit the test files in my project's tests directory for anti-patterns and give me a severity-ranked report with fixes.