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name: pop-assessment-architecture description: "Validates PopKit code quality using concrete metrics for DRY, coupling, cohesion, and architectural patterns" triggers:

• assess architecture
• technical review
• code quality audit version: 1.0.0

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Architecture Assessment Skill

Purpose

Provides concrete, reproducible architecture assessment for PopKit plugins using:

• Code duplication detection
• Coupling/cohesion metrics
• Error handling coverage
• Tool usage validation

How to Use

Step 1: Run Automated Analysis

python skills/pop-assessment-architecture/scripts/detect_duplication.py packages/plugin/
python skills/pop-assessment-architecture/scripts/analyze_coupling.py packages/plugin/
python skills/pop-assessment-architecture/scripts/calculate_quality.py packages/plugin/

Step 2: Apply Architecture Checklists

Read and apply checklists in order:

1. checklists/dry-principles.json - Duplication detection
2. checklists/separation-of-concerns.json - Module boundaries
3. checklists/error-handling.json - Error coverage
4. checklists/tool-selection.json - Appropriate tool usage

Step 3: Generate Report

Combine automated analysis with checklist results for final architecture report.

Standards Reference

Standard	File	Key Checks
DRY Principles	standards/dry-principles.md	DRY-001 through DRY-008
Separation of Concerns	standards/separation-of-concerns.md	SOC-001 through SOC-008
Error Handling	standards/error-handling.md	EH-001 through EH-010
Tool Selection	standards/tool-selection.md	TS-001 through TS-008

Quality Metrics

Metric	Good	Warning	Critical
Code Duplication	<5%	5-15%	>15%
Cyclomatic Complexity	<10	10-20	>20
Module Coupling	Low	Medium	High
Module Cohesion	High	Medium	Low
Error Coverage	>80%	50-80%	<50%

SOLID Principles Checks

Principle	Check ID	Description
Single Responsibility	SOLID-001	One reason to change
Open/Closed	SOLID-002	Open for extension
Liskov Substitution	SOLID-003	Proper inheritance
Interface Segregation	SOLID-004	Minimal interfaces
Dependency Inversion	SOLID-005	Depend on abstractions

Output

Returns JSON with:

• quality_score: 0-100 (higher = better)
• duplication_percent: Code duplication level
• coupling_level: Low/Medium/High
• technical_debt: List of debt items
• refactoring_suggestions: Prioritized improvements