audit-context-building

Analyze Solidity code line-by-line to build architectural context before audits.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/monmacllcapp/skill-forks --skill audit-context-building-monmacllcapp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audit-context-building
Source: https://github.com/monmacllcapp/skill-forks/tree/main/skills/security/plugins/audit-context-building/skills/audit-context-building
Command: npx skills add https://github.com/monmacllcapp/skill-forks --skill audit-context-building-monmacllcapp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of achieving deep, accurate comprehension of codebases before security audits or vulnerability discovery, preventing superficial analysis and potential oversights.

Core Features & Use Cases

  • Ultra-Granular Analysis: Performs line-by-line code analysis to build a detailed understanding of functions, modules, and system architecture.
  • First Principles & 5 Whys: Applies rigorous analytical frameworks at a micro-level to uncover hidden assumptions and logic flaws.
  • Stable Mental Model: Continuously links insights, maintains explicit context, and resolves contradictions to build a reliable system understanding.
  • Use Case: Before auditing a smart contract, use this Skill to meticulously analyze each function, map data flows, and identify all invariants and assumptions, ensuring no critical detail is missed before vulnerability hunting begins.

Quick Start

Use the audit-context-building skill to perform an ultra-granular analysis of the swap function in the provided Solidity code.

Frequently Asked Questions about audit-context-building

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

FAQPage Schema
What is the best way to build context for a smart contract security audit?

Building context for a smart contract security audit requires ultra-granular, line-by-line code analysis. This approach applies First Principles and 5 Whys at a micro scale to map data flows and uncover hidden assumptions before vulnerability hunting begins.

How do I perform line-by-line code analysis to find logic flaws before a vulnerability assessment?

Performing line-by-line code analysis involves applying First Principles, 5 Whys, and 5 Hows at the function and module level. This continuously links micro-scale insights to the entire system, maintaining an explicit mental model that identifies invariants, assumptions, and logic flaws.

Why does superficial code analysis lead to missed vulnerabilities during security audits?

Superficial code analysis leads to missed vulnerabilities because it fails to establish a stable, evolving mental model of the system architecture. Without ultra-granular analysis, hidden assumptions, contradictions, and reasoning hazards remain unidentified, causing critical oversights during vulnerability discovery.

Can I use first principles thinking to map data flows and identify invariants in complex codebases?

Yes, you can use first principles thinking to map data flows and identify invariants. By applying this framework at a micro scale, you continuously link insights across functions and modules to resolve contradictions and build a reliable understanding of the entire system.

Does deep architectural context building work for analyzing individual functions in my code?

Deep architectural context building works for analyzing individual functions by performing ultra-granular analysis at the line level. It meticulously maps data flows and identifies assumptions for each specific function, ensuring no critical detail is missed before broader vulnerability discovery.