RRepoGEO

REPOGEO REPORT · LITE

liuup/claude-code-analysis

Default branch main · commit 7b7b915d · scanned 5/26/2026, 11:54:12 AM

GitHub: 2,747 stars · 1,699 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 liuup/claude-code-analysis, 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

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

OVERALL DIRECTION
  • highreadme#1
    Add a clear English purpose statement to the README's introduction

    Why:

    CURRENT
    The README's initial section focuses on the event background before clearly stating the repository's purpose.
    COPY-PASTE FIX
    Add the following sentence immediately after the main H1 title: 'This repository provides a static analysis and documentation of the leaked Claude Code source code, focusing on its architecture, security, and internal mechanisms.'
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of an open-source license, such as the MIT License.

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 liuup/claude-code-analysis
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Docker
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Docker · recommended 1×
  2. Podman · recommended 1×
  3. containerd · recommended 1×
  4. VirtualBox · recommended 1×
  5. VMware Workstation/Fusion · recommended 1×
  • CATEGORY QUERY
    How are local AI code agents designed for security and sandbox isolation?
    you: not recommended
    AI recommended (in order):
    1. Docker
    2. Podman
    3. containerd
    4. VirtualBox
    5. VMware Workstation/Fusion
    6. QEMU/KVM
    7. gVisor
    8. NSjail
    9. Python's `subprocess`
    10. `resource` module
    11. Node.js `vm` module
    12. isolated-vm
    13. Linux Namespaces
    14. cgroups
    15. Seccomp-BPF
    16. AppArmor
    17. SELinux
    18. Rust
    19. Go
    20. Python
    21. Pylint
    22. Bandit

    AI recommended 22 alternatives but never named liuup/claude-code-analysis. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the internal mechanisms for agent memory and tool calling in AI coding assistants?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Amazon CodeWhisperer
    3. Google Bard

    AI recommended 3 alternatives but never named liuup/claude-code-analysis. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 liuup/claude-code-analysis?
    pass
    AI did not name liuup/claude-code-analysis — 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 liuup/claude-code-analysis in production, what risks or prerequisites should they evaluate first?
    pass
    AI named liuup/claude-code-analysis 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 liuup/claude-code-analysis solve, and who is the primary audience?
    pass
    AI did not name liuup/claude-code-analysis — 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?

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liuup/claude-code-analysis — 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