REPOGEO REPORT · LITE

Yuyz0112/claude-code-reverse

Default branch main · commit c0d99ea1 · scanned 5/21/2026, 6:23:03 PM

GitHub: 2,368 stars · 406 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 Yuyz0112/claude-code-reverse, 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

hightopics#1
Add relevant topics to the repository
Why:
COPY-PASTE FIX
```
llm, reverse-engineering, code-analysis, javascript, visualization, claude-code
```

highlicense#2

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

(Choose an appropriate open-source license like MIT or Apache-2.0 and add it as a LICENSE file in the root of the repository)

highreadme#3

Clarify the core purpose and unique approach in the README's opening

Why:

CURRENT

When Anthropic released Claude Code (February 2025), I couldn't try it directly because registrations were paused due to high load. So, I implemented a solution to reverse engineer static code using LLMs, which became the first version of this repository.

COPY-PASTE FIX

This project offers a unique approach to **reverse engineering complex JavaScript code using Large Language Models (LLMs)**, specifically designed to analyze and visualize the internal workings of systems like Claude Code. It provides an interactive visualization tool to understand LLM interactions and the structure of obfuscated code.

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 Yuyz0112/claude-code-reverse

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain Playground / LangSmith

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

LangChain Playground / LangSmith · recommended 1×
Weights & Biases (W&B) Prompts · recommended 1×
OpenAI Playground / Azure OpenAI Studio · recommended 1×
Graphviz · recommended 1×
Mermaid.js · recommended 1×

CATEGORY QUERY
What tools help visualize the interaction flow within a large language model?
you: not recommended
AI recommended (in order):
1. LangChain Playground / LangSmith
2. Weights & Biases (W&B) Prompts
3. OpenAI Playground / Azure OpenAI Studio
4. Graphviz
5. Mermaid.js
6. Draw.io (now diagrams.net)
AI recommended 6 alternatives but never named Yuyz0112/claude-code-reverse. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How to use AI for reverse engineering and understanding complex static code?
you: not recommended
AI recommended (in order):
1. IDA Pro
2. Hex-Rays Decompiler
3. BinDiff
4. Diaphora
5. Ghidra
6. Ghidra-Scripts
7. Binary Ninja
8. OpenAI Codex
9. GitHub Copilot
10. CodeBERT
11. GraphCodeBERT
12. Hugging Face Transformers
13. DeepCode
14. Snyk Code
AI recommended 14 alternatives but never named Yuyz0112/claude-code-reverse. 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 Yuyz0112/claude-code-reverse?
pass
AI did not name Yuyz0112/claude-code-reverse — 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 Yuyz0112/claude-code-reverse in production, what risks or prerequisites should they evaluate first?
pass
AI named Yuyz0112/claude-code-reverse 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 Yuyz0112/claude-code-reverse solve, and who is the primary audience?
pass
AI did not name Yuyz0112/claude-code-reverse — 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 Yuyz0112/claude-code-reverse. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/Yuyz0112/claude-code-reverse.svg)](https://repogeo.com/en/r/Yuyz0112/claude-code-reverse)

HTML

<a href="https://repogeo.com/en/r/Yuyz0112/claude-code-reverse"><img src="https://repogeo.com/badge/Yuyz0112/claude-code-reverse.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

Yuyz0112/claude-code-reverse — 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