analyze

Analyze codebases read-only and rank evidence-based explanations with confidence levels.

6|Updated Apr 26, 2026

Search Tags:#code analysis #codebase insights #deep learning #architectural analysis #evidence-based

Ready to run

npx skills add https://github.com/Weihong-Liu/GenericAgent_project --skill analyze-weihong-liu

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: analyze
Source: https://github.com/Weihong-Liu/GenericAgent_project/tree/main/.codex/skills/analyze
Command: npx skills add https://github.com/Weihong-Liu/GenericAgent_project --skill analyze-weihong-liu

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides deep analysis of codebases to offer insights, explanations, and evidence-based conclusions without altering the code.

Core Features & Use Cases

Read-Only Analysis: Offers a non-intrusive analysis of codebases to understand behavior, architecture, and causality.
Ranked Synthesis: Provides a ranked list of explanations with confidence levels based on evidence.
Evidence vs. Inference: Clearly distinguishes between direct evidence and inferred conclusions.
Use Case: When a user needs to understand why a feature behaves a certain way or how a workflow is implemented across modules.

Quick Start

Analyze the repository for insights on the 'error handling' pattern.

Frequently Asked Questions about analyze

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

FAQPage Schema

How do I analyze a codebase to understand its architecture without modifying the code?▼

Perform a read-only analysis to understand architecture without modifying the code. This approach provides evidence-based conclusions and ranked explanations of behavior across modules, ensuring the underlying codebase remains unaltered.

What is evidence-based code analysis and how does it explain feature behavior?▼

Evidence-based code analysis is a deep examination providing a ranked synthesis of explanations with explicit confidence levels. It distinguishes between direct evidence and inferred conclusions to explain exactly why a feature behaves in a certain way.

How do I find out why a specific error handling pattern is implemented across different modules?▼

Analyze the repository for insights on the error handling pattern to understand its implementation across modules. This reveals workflow implementation and causality across the codebase using ranked explanations based on direct evidence.

Does this codebase analysis approach distinguish between direct evidence and inferred conclusions?▼

Yes, this codebase analysis explicitly distinguishes between direct evidence and inferred conclusions. It provides a ranked list of explanations with confidence levels so you can clearly identify proven facts versus inferred behavior.

What is the best way to get codebase insights for complex architectural dependencies?▼

Perform a deep, read-only architectural analysis to get codebase insights for complex dependencies. This yields a ranked synthesis of explanations with explicit confidence levels and evidence-based conclusions about workflow causality.

When should I use a read-only codebase analysis instead of modifying code to understand behavior?▼

Use read-only codebase analysis when you need to understand behavior, architecture, and causality without altering the code. It is ideal for safely gaining evidence-based insights when you must avoid introducing changes to the repository.