What problem does it solve? Enforcing consistent code quality across multi-language projects is difficult when reviews are manual, standards drift over time, and quality gates are missing from CI/CD pipelines. This Skill automates quality validation using the TRUST 5 framework (Testable, Readable, Unified, Secured, Trackable) so teams catch issues before merge. ## Core Features & Use Cases - TRUST 5 Quality Gates: Validate test coverage, readability, consistency, security (OWASP), and traceability against configurable thresholds. - Proactive Analysis: Scan for security vulnerabilities, performance hotspots, code duplication, and technical debt with prioritized recommendations. - Best Practices Enforcement: Validate code against up-to-date language standards via Context7 documentation integration, with support for Python, TypeScript, JavaScript, Go, and more. - CI/CD Integration: Ready-to-use GitHub Actions workflow with SARIF reporting, PR comments, and quality badges. - Use Case: A team lead adds the quality gate workflow to a pull request pipeline so any PR dropping test coverage below 85% or introducing critical security issues automatically fails the check. ## Quick Start Ask the AI to run a TRUST 5 quality analysis on the src directory with a quality threshold of 0.85 and report any failed principles.
