Skillget

Claude-code-research

mcp
Security Audit
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Health Warn
  • No license — Repository has no license file
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 10 GitHub stars
Code Warn
  • Code scan incomplete — No supported source files were scanned during light audit
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This is a documentation and research repository containing a 14-chapter deep analysis report of the Claude Code architecture, translated into 7 languages. It does not contain executable code or server logic.

Security Assessment
Overall risk: Low. The repository is a collection of Markdown files analyzing another project's source code. It does not contain executable code, access sensitive data, make network requests, or execute shell commands. No dangerous permissions are requested, and the code scan found no supported source files to analyze—consistent with a purely document-based project. No hardcoded secrets were found.

Quality Assessment
The project is actively maintained, with its most recent push happening today. It has earned 10 GitHub stars, indicating a small but present level of community interest. The primary quality concern is the lack of a license file, meaning legal usage, modification, and distribution rights are technically undefined and strictly reserved by the author by default. Additionally, because there are no supported source files, no automated code quality or security checks could be performed on the underlying repository structure.

Verdict
Safe to use for reading, but be aware of the unlicensed status if you plan to redistribute or heavily reference the material.
SUMMARY

Claude Code Architecture Deep Analysis — 14-chapter report, 7 languages | Claude Code 架构全景分析 — 14章报告，7种语言

README.md

Claude Code Architecture Deep Analysis

🌍 Select Language / 选择语言:

Language Link
🇨🇳 中文 (Chinese) 阅读中文版
🇬🇧 English Read in English
🇰🇷 한국어 (Korean) 한국어로 읽기
🇯🇵 日本語 (Japanese) 日本語で読む
🇪🇸 Español (Spanish) Leer en español
🇧🇷 Português (Portuguese) Ler em português
🇷🇺 Русский (Russian) Читать на русском

About This Project

A 14-chapter deep architecture analysis of Claude Code, based on the TypeScript source snapshot (~512K LOC, ~1,900 files) that became publicly accessible on March 31, 2026.

Analysis Method: 14 parallel AI sub-agents (5 Opus + 9 Sonnet) each analyzed a subsystem directly from source files, producing source-level insights with code citations.

Report Structure

# Chapter Key Topic
00 Index & Overview Architecture panorama, reading guide, glossary
01 Architecture Overview Entry points, startup sequence, parallel prefetch
02 Query Engine LLM interaction core, streaming, retry mechanism
03 Tool System 40+ tools unified abstraction, registration, execution
04 Agent Orchestration Leader-Worker, Coordinator, Team, Worktree
05 Prompt Engineering System prompt structure, Cache optimization, dynamic injection
06 Skill System Markdown-as-Code, loading mechanism, bundled skills
07 Command System 50+ slash commands, registration and execution
08 Context Management 4-layer compression, circuit breaker, cache economics
09 Memory System Three-tier memory, auto-extraction, intelligent recall
10 Security & Permissions Bash AST analysis, sandbox, Parser Differential defense
11 MCP Integration MCP protocol, OAuth, dynamic tool discovery
12 Terminal UI & Rendering Ink dual-buffer, Int32Array buffer, Vim mode
13 Model Selection & Cost Model routing, Fallback, Effort Level
14 Feature Flags & Observability 80+ compile-time flags, 400+ runtime flags, Perfetto

Key Findings

  • Query Engine is not a generic LLM wrapper but an inference-aware coroutine state machine
  • Agent orchestration logic lives in the system prompt, not in code — Coordinator's 4-phase workflow is defined entirely by ~5000 characters of prompt
  • Prompt Engineering uses a 3-layer cache architecture (global/org/null) where each conditional branch must evaluate its 2^N impact on cache variants
  • Context Management is fundamentally a cache economics optimization — cache read ($0.30/M) is 10x cheaper than cache miss ($3/M)
  • Security model core innovation is Parser Differential defense — systematically protecting against semantic gaps between AST parsers and real shells
  • Feature Flags actually number 80+ compile-time and 400+ runtime flags, far exceeding previously published analyses

Comparison with Similar Projects

Dimension cc-notebook This Project
Total Size ~150 KB / 13 files 520 KB / 16 files
Topics Covered 7 14
Languages Chinese only 7 languages
New Coverage — Prompt Engineering, Skill, MCP, Tool System, Commands, Architecture, Terminal UI
Theoretical Foundation None CS theory anchors per chapter
Source Citations Yes Yes, with file:line numbers

Each Chapter Structure

  1. Overview & Positioning — Role within the overall architecture
  2. Theoretical Foundation — Corresponding CS theories and design patterns
  3. Architecture & Data Structures — Core type definitions and architecture diagrams
  4. Core Algorithms & Flows — Decision trees, state machines, code snippets
  5. Design Decision Analysis — Tradeoff analysis and industry comparison
  6. Transferable Patterns — Reusable engineering patterns
  7. Source Code Index — File list with responsibilities

Disclaimer

This project is for educational and technical research purposes. The intellectual property of Claude Code source code belongs to Anthropic. This project does not contain original source files, only architecture analysis and code snippet citations.

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