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mapping

Label and validate codebase components by trustworthiness with human questionnaires.

Updated Aug 23, 2026
Search Tags:#codebase analysis#ai-assisted development#project mapping#trust tiering#ai orientation
One-click install
npx skills add https://github.com/Nellur35/security-first-ai-dev-methodology --skill mapping-nellur35
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mapping
Source: https://github.com/Nellur35/security-first-ai-dev-methodology/tree/main/integrations/claude-code/.claude/skills/mapping
Command: npx skills add https://github.com/Nellur35/security-first-ai-dev-methodology --skill mapping-nellur35

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill ensures that AI agents working on a project are well-oriented, understanding the project's structure, its trustable components, and how to interpret and validate information within the context of the project.

Core Features & Use Cases

  • Greenfield Mode: Helps to declare a project's structure before development begins.
  • Brownfield Mode: Discovers the existing project's structure, labeling its components as trustworthy, suspect, stale, or unknown.
  • Trust Tiering: Categorizes each source into deterministic, live, or human-driven components, ensuring accuracy in the AI's understanding.
  • Questionnaire & Human Oversight: For undecidable cases or when evidence is insufficient, generates a navigator questionnaire for human validation.

Quick Start

/mapping

Frequently Asked Questions about mapping

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

FAQPage Schema
How do I build a project map for AI-assisted development?▼

To build a project map for AI-assisted development, this Skill analyzes your codebase and labels components by trustworthiness, ensuring AI agents are properly oriented regarding project structure and reliable sources.

What is trust tiering in codebase analysis?▼

Trust tiering in codebase analysis categorizes project components into deterministic, live, or human-driven tiers. This classification ensures AI agents accurately interpret and validate information based on source reliability.

Can I map an existing codebase for AI orientation?▼

Yes, you can map an existing codebase using Brownfield Mode. It discovers the current project structure and automatically labels components as trustworthy, suspect, stale, or unknown for AI orientation.

How do I validate suspect codebase components during project mapping?▼

You validate suspect codebase components during project mapping through a navigator questionnaire. It is generated for undecidable cases, providing human oversight to verify uncertain or insufficient evidence.

Does this project mapping tool work for new development projects?▼

Yes, Greenfield Mode supports new development projects by helping you declare the project structure before development begins. This establishes trust tiers early for accurate AI-assisted development.

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