moai-foundation-quality

Code quality gates systematically validate code across Python, JavaScript, Go, Java, and 20+ other languages by applying TRUST 5 validation—Testable, Readable, Unified, Secured, and Trackable—directly in your CI/CD workflow. Context7 integration enforces real-time best-practices standards with configurable thresholds, producing automated quality scores and reports that block merges when standards aren't met.

TRUST 5 is a systematic quality framework that gates code across five dimensions: Testable (coverage and test quality), Readable (maintainability and clarity), Unified (consistency across teams), Secured (vulnerability and security posture), and Trackable (auditability and traceability). Enterprise teams use it to enforce consistent quality standards across multiple codebases and prevent technical debt accumulation.

Yes. Proactive analysis automatically detects issues, improvement recommendations, and best-practices violations across your codebase in real time. Context7-driven scanning identifies debt patterns and maintainability risks without manual review, then generates comprehensive quality reports that feed directly into CI/CD dashboards for continuous visibility.

Yes. The Skill integrates with CI/CD pipelines to enforce automated quality gates, produce real-time validation reports, and feed dashboards with quality metrics. It supports multi-language codebases and configurable thresholds, making it suitable for large enterprises managing dozens of repositories with varying standards.

You need jq for JSON processing and moai-core-quality as the foundation dependency. The Skill then orchestrates TRUST 5 gates and Context7 analysis; no additional language-specific tooling is required since it handles Python, JavaScript, Go, Java, and other languages automatically within the validation framework.

Context7 performs real-time standards validation across 25+ languages with contextual awareness of your codebase patterns, not just syntax rules. It enforces current best practices dynamically, adapts thresholds by project, and integrates proactive recommendations into a unified quality score—going beyond isolated linting to organizational standards alignment.