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check-cross-layer

Validate post-implementation changes across data flow, code reuse, and dependency paths.

1|Updated Apr 6, 2026
Search Tags:#code quality#code review#system integrity#post-implementation#cross-layer analysis
One-click install
npx skills add https://github.com/iZiTTMarvin/LLM-Succubus --skill check-cross-layer-izittmarvin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: check-cross-layer
Source: https://github.com/iZiTTMarvin/LLM-Succubus/tree/main/.agents/skills/check-cross-layer
Command: npx skills add https://github.com/iZiTTMarvin/LLM-Succubus --skill check-cross-layer-izittmarvin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps developers identify and mitigate potential issues that may arise from not considering all dimensions during the implementation phase of a project.

Core Features & Use Cases

  • Post-Implementation Safety Net: Identifies overlooked aspects after code implementation.
  • Dimensional Analysis: Evaluates multiple layers including data flow, code reuse, dependency paths, and more.
  • Use Case: A developer uses this Skill after making changes to a large codebase to ensure that updates do not introduce unintended side effects.

Quick Start

After implementing changes, execute the check-cross-layer skill to validate changes across all relevant layers.

Frequently Asked Questions about check-cross-layer

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

FAQPage Schema
How do I check cross-layer data flow and code reuse after implementing changes?▼

Cross-layer analysis validates post-implementation system changes by checking data flow and code reuse across layers. This ensures system integrity by identifying overlooked aspects and preventing unintended side effects in large codebases.

What is cross-layer analysis in software engineering code review?▼

Cross-layer analysis is a post-implementation review technique that evaluates dimensional aspects like data flow, code reuse, and dependency paths. It identifies potential issues missed during implementation to guarantee comprehensive system integrity.

When do I need to run a post-implementation safety net for my codebase?▼

Run a post-implementation safety net after making changes to a large codebase to ensure updates do not introduce unintended side effects. It acts as a dimensional analysis check to verify cross-layer data flow and code reuse.

Does cross-layer analysis work for checking dependency paths and system integrity?▼

Yes, cross-layer analysis evaluates multiple layers including dependency paths and data flow to ensure system integrity. It serves as a post-implementation safety net to catch overlooked dimensions after code changes.

What is the best way to verify system integrity after large codebase updates?▼

The best way to verify system integrity is executing a cross-layer analysis post-implementation. This validates comprehensive changes by checking data flow, code reuse, and dependency paths to mitigate potential issues from overlooked dimensions.

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