zz-code-recon

Name: zz-code-recon
Availability: InStock
Author: kiran-nebula

Map system architecture, trust boundaries, and data flows for security audits.

Updated Aug 23, 2026

Search Tags:#code review #threat modeling #security audit #codebase understanding #vulnerability analysis #architecture mapping

Ready to run

npx skills add https://github.com/kiran-nebula/agentshaus --skill zz-code-recon-kiran-nebula

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: zz-code-recon
Source: https://github.com/kiran-nebula/agentshaus/tree/main/packages/agent-runtime/workspace/skills/sendaifun/zz-code-recon
Command: npx skills add https://github.com/kiran-nebula/agentshaus --skill zz-code-recon-kiran-nebula

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of building deep architectural understanding for security audits, enabling rapid comprehension of unfamiliar codebases.

Core Features & Use Cases

Systematic Reconnaissance: Builds layered understanding from high-level architecture down to implementation details.
Security Audit Focus: Maps trust boundaries, data flows, and security-critical logic.
Use Case: When starting a security review of a new project, use this Skill to quickly generate a comprehensive context document covering technology stack, architecture, and potential risk areas.

Quick Start

Use the zz-code-recon skill to perform a deep architectural context analysis on the provided codebase.

Frequently Asked Questions about zz-code-recon

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

FAQPage Schema

How do I perform a security audit on an unfamiliar codebase?▼

To perform a security audit on an unfamiliar codebase, use a systematic methodology that builds layered understanding from high-level architecture down to implementation details to generate a comprehensive security context document.

What is codebase reconnaissance for threat modeling?▼

Codebase reconnaissance for threat modeling is the process of mapping system architecture, identifying trust boundaries, tracing data flows, and analyzing security-critical functions to build deep architectural context.

How do I map trust boundaries and data flows for vulnerability analysis?▼

Map trust boundaries and data flows for vulnerability analysis by utilizing a phased approach that starts with a high-level overview and progressively dives into module and function-level details across various programming languages.

Can I use this reconnaissance approach for any programming language and framework?▼

Yes, you can use this reconnaissance approach for various programming languages and frameworks, as the methodology analyzes security-critical functions across different technology stacks to identify potential risk areas.

What is the best way to map system architecture for a security review?▼

The best way to map system architecture for a security review is applying a phased methodology that quickly generates a comprehensive context document covering the technology stack, architecture, and potential risk areas.

How long does it take to build deep code context for an unfamiliar project?▼

Building deep code context for an unfamiliar project takes minimal time because the automated reconnaissance process enables rapid comprehension of the codebase, starting from a high-level overview down to module details.