Moai Foundation Quality

Name: Moai Foundation Quality
Author: modu-ai
Enterprise code quality orchestrator with TRUST 5 validation, proactive analysis, and automated best practices enforcement
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Added 12/21/2025
developmentjavascripttypescriptpythonrust
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cliapi
Install via CLI
$openskills install modu-ai/moai-adk
Files
SKILL.md
---
name: moai-foundation-quality
aliases:
 - moai-foundation-quality
category: foundation
description: Enterprise code quality orchestrator with TRUST 5 validation, proactive analysis, and automated best practices enforcement
version: 2.0.0
modularized: true
updated: 2025-11-27
status: active
tags:
 - foundation
 - quality
 - testing
 - validation
 - trust-5
 - best-practices
 - code-review
---

# Enterprise Code Quality Orchestrator

Enterprise-grade code quality management system that combines systematic code review, proactive improvement suggestions, and automated best practices enforcement. Provides comprehensive quality assurance through TRUST 5 framework validation with Context7 integration for real-time best practices.

## Quick Reference (30 seconds)

Core Capabilities:
- TRUST 5 Validation: Testable, Readable, Unified, Secured, Trackable quality gates
- Proactive Analysis: Automated issue detection and improvement suggestions
- Best Practices Enforcement: Context7-powered real-time standards validation
- Multi-Language Support: 25+ programming languages with specialized rules
- Enterprise Integration: CI/CD pipelines, quality metrics, reporting

Key Patterns:
1. Quality Gate Pipeline → Automated validation with configurable thresholds
2. Proactive Scanner → Continuous analysis with improvement recommendations
3. Best Practices Engine → Context7-driven standards enforcement
4. Quality Metrics Dashboard → Comprehensive reporting and trend analysis

When to Use:
- Code review automation and quality gate enforcement
- Proactive code quality improvement and technical debt reduction
- Enterprise coding standards enforcement and compliance validation
- CI/CD pipeline integration with automated quality checks

Quick Access:
- TRUST 5 Framework → [trust5-validation.md](modules/trust5-validation.md)
- Proactive Analysis → [proactive-analysis.md](modules/proactive-analysis.md)
- Best Practices → [best-practices.md](modules/best-practices.md)
- Integration Patterns → [integration-patterns.md](modules/integration-patterns.md)

## Implementation Guide

### Getting Started

Basic Quality Validation:
```python
# Initialize quality orchestrator
quality_orchestrator = QualityOrchestrator(
 trust5_enabled=True,
 proactive_analysis=True,
 best_practices_enforcement=True,
 context7_integration=True
)

# Run comprehensive quality analysis
result = await quality_orchestrator.analyze_codebase(
 path="src/",
 languages=["python", "javascript", "typescript"],
 quality_threshold=0.85
)

# Quality gate validation with TRUST 5
quality_gate = QualityGate()
validation_result = await quality_gate.validate_trust5(
 codebase_path="src/",
 test_coverage_threshold=0.90,
 complexity_threshold=10
)
```

Proactive Quality Analysis:
```python
# Initialize proactive scanner
proactive_scanner = ProactiveQualityScanner(
 context7_client=context7_client,
 rule_engine=BestPracticesEngine()
)

# Scan for improvement opportunities
improvements = await proactive_scanner.scan_codebase(
 path="src/",
 scan_types=["security", "performance", "maintainability", "testing"]
)

# Generate improvement recommendations
recommendations = await proactive_scanner.generate_recommendations(
 issues=improvements,
 priority="high",
 auto_fix=True
)
```

### Core Components

#### 1. Quality Orchestration Engine

```python
class QualityOrchestrator:
 """Enterprise quality orchestration with TRUST 5 framework"""

 def __init__(self, config: QualityConfig):
 self.trust5_validator = TRUST5Validator()
 self.proactive_scanner = ProactiveScanner()
 self.best_practices_engine = BestPracticesEngine()
 self.context7_client = Context7Client()
 self.metrics_collector = QualityMetricsCollector()

 async def analyze_codebase(self, request: QualityAnalysisRequest) -> QualityResult:
 """Comprehensive codebase quality analysis"""

 # Phase 1: TRUST 5 Validation
 trust5_result = await self.trust5_validator.validate(
 codebase=request.path,
 thresholds=request.quality_thresholds
 )

 # Phase 2: Proactive Analysis
 proactive_result = await self.proactive_scanner.scan(
 codebase=request.path,
 focus_areas=request.focus_areas
 )

 # Phase 3: Best Practices Check
 practices_result = await self.best_practices_engine.validate(
 codebase=request.path,
 languages=request.languages,
 context7_docs=True
 )

 # Phase 4: Metrics Collection
 metrics = await self.metrics_collector.collect_comprehensive_metrics(
 codebase=request.path,
 analysis_results=[trust5_result, proactive_result, practices_result]
 )

 return QualityResult(
 trust5_validation=trust5_result,
 proactive_analysis=proactive_result,
 best_practices=practices_result,
 metrics=metrics,
 overall_score=self._calculate_overall_quality_score([
 trust5_result, proactive_result, practices_result
 ])
 )
```

Detailed implementations:
- [TRUST 5 Validator Implementation](modules/trust5-validation.md#trust-5-validator-implementation)
- [Proactive Scanner Implementation](modules/proactive-analysis.md#proactive-scanner-implementation)
- [Best Practices Engine Implementation](modules/best-practices.md#best-practices-engine-implementation)

### Configuration and Customization

Quality Configuration:
```yaml
# quality-config.yaml
quality_orchestration:
 trust5_framework:
 enabled: true
 thresholds:
 overall: 0.85
 testable: 0.90
 readable: 0.80
 unified: 0.85
 secured: 0.90
 trackable: 0.80

 proactive_analysis:
 enabled: true
 scan_frequency: "daily"
 focus_areas:
 - "performance"
 - "security"
 - "maintainability"
 - "technical_debt"

 auto_fix:
 enabled: true
 severity_threshold: "medium"
 confirmation_required: true

 best_practices:
 enabled: true
 context7_integration: true
 auto_update_standards: true
 compliance_target: 0.85

 language_rules:
 python:
 style_guide: "pep8"
 formatter: "black"
 linter: "ruff"
 type_checker: "mypy"

 javascript:
 style_guide: "airbnb"
 formatter: "prettier"
 linter: "eslint"

 typescript:
 style_guide: "google"
 formatter: "prettier"
 linter: "eslint"

 reporting:
 enabled: true
 metrics_retention_days: 90
 trend_analysis: true
 executive_dashboard: true

 notifications:
 quality_degradation: true
 security_vulnerabilities: true
 technical_debt_increase: true
```

Integration Examples:

See [Integration Patterns](modules/integration-patterns.md) for:
- CI/CD Pipeline Integration
- GitHub Actions Integration
- Quality-as-Service REST API
- Cross-Project Benchmarking

## Advanced Patterns

### 1. Custom Quality Rules

```python
class CustomQualityRule:
 """Define custom quality validation rules"""

 def __init__(self, name: str, validator: Callable, severity: str = "medium"):
 self.name = name
 self.validator = validator
 self.severity = severity

 async def validate(self, codebase: str) -> RuleResult:
 """Execute custom rule validation"""
 try:
 result = await self.validator(codebase)
 return RuleResult(
 rule_name=self.name,
 passed=result.passed,
 severity=self.severity,
 details=result.details,
 recommendations=result.recommendations
 )
 except Exception as e:
 return RuleResult(
 rule_name=self.name,
 passed=False,
 severity="error",
 details={"error": str(e)},
 recommendations=["Fix rule implementation"]
 )
```

See [Best Practices - Custom Rules](modules/best-practices.md#custom-quality-rules) for complete examples.

### 2. Machine Learning Quality Prediction

ML-powered quality issue prediction using code feature extraction and predictive models.

See [Proactive Analysis - ML Prediction](modules/proactive-analysis.md#machine-learning-quality-prediction) for implementation details.

### 3. Real-time Quality Monitoring

Continuous quality monitoring with automated alerting for quality degradation and security vulnerabilities.

See [Proactive Analysis - Real-time Monitoring](modules/proactive-analysis.md#real-time-quality-monitoring) for implementation details.

### 4. Cross-Project Quality Benchmarking

Compare project quality metrics against similar projects in your industry.

See [Integration Patterns - Benchmarking](modules/integration-patterns.md#cross-project-quality-benchmarking) for implementation details.

## Module Reference

### Core Modules

- [TRUST 5 Validation](modules/trust5-validation.md) - Comprehensive quality framework validation
- [Proactive Analysis](modules/proactive-analysis.md) - Automated issue detection and improvements
- [Best Practices](modules/best-practices.md) - Context7-powered standards enforcement
- [Integration Patterns](modules/integration-patterns.md) - CI/CD and enterprise integrations

### Key Components by Module

TRUST 5 Validation:
- `TRUST5Validator` - Five-pillar quality validation
- `TestableValidator` - Test coverage and quality
- `SecuredValidator` - Security and OWASP compliance
- Quality gate pipeline integration

Proactive Analysis:
- `ProactiveQualityScanner` - Automated issue detection
- `QualityPredictionEngine` - ML-powered predictions
- `RealTimeQualityMonitor` - Continuous monitoring
- Performance and maintainability analysis

Best Practices:
- `BestPracticesEngine` - Standards validation
- Context7 integration for latest docs
- Custom quality rules
- Language-specific validators

Integration Patterns:
- CI/CD pipeline integration
- GitHub Actions workflows
- Quality-as-Service REST API
- Cross-project benchmarking

## Context7 Library Mappings

Essential library mappings for quality analysis tools and frameworks.

See [Best Practices - Library Mappings](modules/best-practices.md#context7-library-mappings) for complete list.

## Works Well With

Agents:
- core-planner - Quality requirements planning
- workflow-tdd - TDD implementation validation
- security-expert - Security vulnerability analysis
- code-backend - Backend code quality
- code-frontend - Frontend code quality

Skills:
- moai-foundation-core - TRUST 5 framework reference
- moai-tdd-implementation - TDD workflow validation
- moai-security-owasp - Security compliance
- moai-context7-integration - Context7 best practices
- moai-performance-optimization - Performance analysis

Commands:
- `/moai:2-run` - TDD validation integration
- `/moai:3-sync` - Documentation quality checks
- `/moai:9-feedback` - Quality improvement feedback

## Quick Reference Summary

Core Capabilities: TRUST 5 validation, proactive scanning, Context7-powered best practices, multi-language support, enterprise integration

Key Classes: `QualityOrchestrator`, `TRUST5Validator`, `ProactiveQualityScanner`, `BestPracticesEngine`, `QualityMetricsCollector`

Essential Methods: `analyze_codebase()`, `validate_trust5()`, `scan_for_issues()`, `validate_best_practices()`, `generate_quality_report()`

Integration Ready: CI/CD pipelines, GitHub Actions, REST APIs, real-time monitoring, cross-project benchmarking

Enterprise Features: Custom rules, ML prediction, real-time monitoring, benchmarking, comprehensive reporting

Quality Standards: OWASP compliance, TRUST 5 framework, Context7 integration, automated improvement recommendations
Moai Foundation Quality

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