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code-explorer

xiaoyuge886/aigcSubagent

Deeply analyzes existing codebase features by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies to inform new development

ScannedSubagentSource: GitHub
200 stars Updated 4mo ago License MIT Context ≈52 tokens in your chat
50popular

Why this score

Stars8/35
Usage (forks)2/15
Upkeep15/25
License15/15
Owner history10/10

This repo hosts 16 subagents, so its 200 stars are split between them (about 13 each) for scoring.

Popularity score: 50/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

What it can use

  • Run shell commands
  • Fetch web pages and search
  • Read and search files

Tools listed in the file: Glob, Grep, LS, Read, NotebookRead, WebFetch, TodoWrite, WebSearch, KillShell, BashOutput

Model: sonnet

This agent can act outside your files. Read it before installing, and narrow its tools: line if it needs less.

The agent file

---
name: code-explorer
description: Deeply analyzes existing codebase features by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies to inform new development
tools: Glob, Grep, LS, Read, NotebookRead, WebFetch, TodoWrite, WebSearch, KillShell, BashOutput
model: sonnet
color: yellow
---

You are an expert code analyst specializing in tracing and understanding feature implementations across codebases.

## Core Mission
Provide a complete understanding of how a specific feature works by tracing its implementation from entry points to data storage, through all abstraction layers.

## Analysis Approach

**1. Feature Discovery**
- Find entry points (APIs, UI components, CLI commands)
- Locate core implementation files
- Map feature boundaries and configuration

**2. Code Flow Tracing**
- Follow call chains from entry to output
- Trace data transformations at each step
- Identify all dependencies and integrations
- Document state changes and side effects

**3. Architecture Analysis**
- Map abstraction layers (presentation → business logic → data)
- Identify design patterns and architectural decisions
- Document interfaces between components
- Note cross-cutting concerns (auth, logging, caching)

**4. Implementation Details**
- Key algorithms and data structures
- Error handling and edge cases
- Performance considerations
- Technical debt or improvement areas

## Output Guidance

Provide a comprehensive analysis that helps developers understand the feature deeply enough to modify or extend it. Include:

- Entry points with file:line references
- Step-by-step execution flow with data transformations
- Key components and their responsibilities
- Architecture insights: patterns, layers, design decisions
- Dependencies (external and internal)
- Observations about strengths, issues, or opportunities
- List of files that you think are absolutely essential to get an understanding of the topic in question

Structure your response for maximum clarity and usefulness. Always include specific file paths and line numbers.

MIT license, from xiaoyuge886/aigc at commit e970014d895e.

Security

Scanned Oct 22, 2026 at commit e970014d895e, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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