moai-foundation-quality

Automate code quality analysis and enforcement using TRUST 5 validation.

3|Updated Feb 18, 2026

Search Tags:#code quality #best practices #Context7 #continuous improvement #TRUST 5 #proactive analysis

Ready to run

npx skills add https://github.com/rodmena-limited/trust5 --skill moai-foundation-quality-rodmena-limited

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: moai-foundation-quality
Source: https://github.com/rodmena-limited/trust5/tree/main/trust5/assets/claude/skills/moai-foundation-quality
Command: npx skills add https://github.com/rodmena-limited/trust5 --skill moai-foundation-quality-rodmena-limited

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires moai_core_quality, context7_client, pylint, black, ruff, mypy, pytest, jest, bandit, snyk, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates code quality analysis and enforcement, significantly reducing manual effort and ensuring compliance with best practices and standards.

Core Features & Use Cases

Automated Code Quality Analysis: Comprehensive analysis of code quality using TRUST 5 framework and Context7 integration.
Proactive Analysis: Detects and suggests improvements for performance, maintainability, security, and technical debt.
Best Practices Enforcement: Validates coding standards and best practices in real-time.
Multi-Language Support: Supports 25+ programming languages.
Use Case: Use this Skill to ensure your codebase meets TRUST 5 quality standards and best practices, improving reliability and security.

Quick Start

Initialize the quality orchestrator with trust5_enabled=True, proactive_analysis=True, best_practices_enforcement=True, context7_integration=True. Call analyze_codebase with the source directory and languages.

Frequently Asked Questions about moai-foundation-quality

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate code quality analysis and enforce best practices across multiple programming languages?▼

Automated code quality analysis uses the TRUST 5 framework and Context7 integration to validate standards across 25+ programming languages. It provides real-time feedback by running language-specific validators and linters to enforce best practices.

What is TRUST 5 validation for code quality and how does it work?▼

TRUST 5 validation is a code quality framework that automates analysis of performance, maintainability, security, and technical debt. It works by proactively detecting issues and suggesting improvements to ensure compliance with coding standards.

Can I use Pylint, Black, and Ruff with a continuous improvement tool for Python codebases?▼

Yes, continuous improvement and code quality enforcement integrate with Pylint, Black, and Ruff for Python codebases. These dependencies serve as language-specific validators to provide real-time analysis and formatting recommendations.

Does proactive code analysis detect security vulnerabilities and technical debt in JavaScript projects?▼

Proactive code analysis detects security vulnerabilities and technical debt in JavaScript projects using Jest and Snyk dependencies. It suggests improvements for maintainability and security while enforcing best practices standards.

What's the best way to set up automated code enforcement for a multi-language codebase?▼

Set up automated code enforcement by initializing the quality orchestrator with TRUST 5, proactive analysis, and Context7 integration enabled. Call the analyze_codebase function with your source directory and target languages to receive real-time recommendations.

Do I need moai_core_quality and context7_client installed to run codebase analysis?▼

Yes, moai_core_quality and context7_client are required dependencies to run codebase analysis. The quality orchestrator relies on these alongside language-specific validators like Mypy, Pytest, and Bandit to execute TRUST 5 validation.