ln-640-pattern-evolution-auditor

Audits architectural patterns and maintains a scored catalog in patterns_catalog.md.

Updated Mar 14, 2026
One-click install
npx skills add https://github.com/0xtaoist/taogate --skill ln-640-pattern-evolution-auditor-0xtaoist
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ln-640-pattern-evolution-auditor
Source: https://github.com/0xtaoist/taogate/tree/main/ln-640-pattern-evolution-auditor
Command: npx skills add https://github.com/0xtaoist/taogate --skill ln-640-pattern-evolution-auditor-0xtaoist

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Auditors need to ensure architectural patterns are implemented correctly and evolve toward best practices, preserving system health and maintainability.

Core Features & Use Cases

  • Maintains a patterns catalog and tracks evolution with 4 scores per pattern (compliance, completeness, quality, implementation).
  • Audits layer boundaries, API contracts, dependency graphs, and domain boundaries across multiple domains.
  • Output: consolidated patterns_catalog.md and per-domain reports for cross-domain insights.

Quick Start

Run the ln-640 auditor against the current codebase to generate a patterns catalog and health score.

Frequently Asked Questions about ln-640-pattern-evolution-auditor

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

FAQPage Schema
How do I audit architectural patterns to check software health?

Auditing architectural patterns involves running an auditor against your codebase to verify layer boundaries, API contracts, and cross-domain dependencies, generating per-pattern health scores and a consolidated patterns catalog.

What is a 4-score model for architectural pattern compliance?

A 4-score model for architectural patterns evaluates compliance, completeness, quality, and implementation. It tracks pattern evolution against best practices to maintain system health and verify cross-domain boundaries.

How do I track cross-domain dependencies and layer boundaries?

Tracking cross-domain dependencies requires an audit mechanism that applies across multiple domains to verify API contracts and layer boundaries, generating per-domain reports for cross-domain architectural insights.

Can I generate a patterns catalog with health metrics for my codebase?

You can generate a patterns catalog with health metrics by running a pattern evolution auditor, which writes results to a markdown file and supports domain-aware aggregation for consolidated cross-domain insights.

Does the architectural pattern audit support multiple domains?

Yes, the architectural pattern audit supports domain-aware aggregation across multiple domains, producing per-domain reports and cross-domain insights to verify API contracts and dependency graphs.

What are the limitations of auditing architectural patterns for software health?

Limitations of auditing architectural patterns include reliance on existing codebase structure for accurate boundary verification, producing markdown reports without automated code refactoring.