reconstruct-system-intent

Analyze a codebase's architecture and behavior to reveal design intent and security risks.

1|1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/quangphu1912/codebase-analyzer --skill reconstruct-system-intent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reconstruct-system-intent
Source: https://github.com/quangphu1912/codebase-analyzer/tree/main/skills/reconstruct-system-intent
Command: npx skills add https://github.com/quangphu1912/codebase-analyzer --skill reconstruct-system-intent

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides comprehensive analysis of a codebase to uncover its true intent, design goals, and potential security signals, solving the problem of misinterpreted system functionality and hidden risks.

Core Features & Use Cases

  • In-depth Code Analysis: Synthesizes findings from all completed analysis files.
  • System Intent Discovery: Answers five key questions about system design, moat location, hidden capabilities, control mechanisms, and hidden dependencies.
  • Risk Assessment: Identifies patterns indicative of potential security and data exfiltration risks.

Quick Start

Run 'codebase-analyzer reconstruct-system-intent' to initiate a full analysis of your codebase's intent.

Frequently Asked Questions about reconstruct-system-intent

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

FAQPage Schema
How do I uncover the true design intent and hidden capabilities of a codebase?

Uncover true codebase design intent by conducting comprehensive architecture analysis using Git archaeology and feature gate analysis. This process maps system intelligence to reveal hidden capabilities and system moats.

How does Git archaeology help reverse engineer a system's architecture?

Git archaeology reverse engineers architecture by analyzing historical commit data to trace feature evolution and control mechanisms. It reveals true system behavior and hidden dependencies through version control history.

Can I use this system design analysis to identify potential data exfiltration risks?

You can identify data exfiltration risks by running a system intelligence risk assessment. This analysis detects security risk patterns and hidden dependencies indicative of unauthorized data control mechanisms.

What is the best way to audit a codebase for hidden dependencies and control mechanisms?

The best way to audit for hidden dependencies and control mechanisms is a comprehensive codebase audit synthesizing feature gate analysis and Git archaeology. This reveals undocumented system behavior and architectural control flows.

Does this codebase analysis require any external dependencies or specific environment setup?

This codebase analysis requires no external dependencies or specific environment setup. You can run the core task directly to initiate a full system intelligence mapping and reconstruct system intent.