RRepoGEO

REPOGEO REPORT · LITE

lintsinghua/claude-code-book

Default branch main · commit 17645f60 · scanned 5/23/2026, 9:38:17 PM

GitHub: 3,376 stars · 728 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface lintsinghua/claude-code-book, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Explicitly state the repository is a book in the README's main title

    Why:

    CURRENT
    # 御舆：解码 Agent Harness
### Claude Code 架构深度剖析
    COPY-PASTE FIX
    # 御舆：解码 Agent Harness：一部深入剖析AI Agent Harness架构与设计原理的著作
### Claude Code 架构深度剖析
  • highlicense#2
    Add a LICENSE file and clarify its terms in the README

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root and add a section to the README clarifying the terms of use for the book's content and code.
  • mediumtopics#3
    Refine repository topics to emphasize 'book' and 'architecture analysis'

    Why:

    CURRENT
    agent, agent-architecture, ai-agent, anthropic, book, chinese, claude-code, llm, mcp
    COPY-PASTE FIX
    agent, agent-architecture, ai-agent, anthropic, book, chinese, claude-code, llm, mcp, architecture-book, agent-design, system-design, deep-dive

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface lintsinghua/claude-code-book
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Auto-GPT · recommended 1×
  4. BabyAGI · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How do I understand the fundamental architecture and design principles of modern AI agent systems?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Auto-GPT
    4. BabyAGI
    5. OpenAI API

    AI recommended 5 alternatives but never named lintsinghua/claude-code-book. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the core components and runtime frameworks for building a custom AI agent from scratch?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. TensorFlow
    3. PyTorch
    4. Hugging Face Transformers
    5. OpenAI Gym
    6. Stable Baselines3
    7. Faiss
    8. Annoy
    9. LangChain
    10. LlamaIndex
    11. Docker

    AI recommended 11 alternatives but never named lintsinghua/claude-code-book. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of lintsinghua/claude-code-book?
    pass
    AI did not name lintsinghua/claude-code-book — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts lintsinghua/claude-code-book in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lintsinghua/claude-code-book explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo lintsinghua/claude-code-book solve, and who is the primary audience?
    pass
    AI did not name lintsinghua/claude-code-book — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of lintsinghua/claude-code-book. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/lintsinghua/claude-code-book.svg)](https://repogeo.com/en/r/lintsinghua/claude-code-book)
HTML
<a href="https://repogeo.com/en/r/lintsinghua/claude-code-book"><img src="https://repogeo.com/badge/lintsinghua/claude-code-book.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

lintsinghua/claude-code-book — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite