RRepoGEO

REPOGEO REPORT · LITE

ChinaSiro/claude-code-sourcemap

Default branch main · commit a8a678cb · scanned 7/1/2026, 12:38:03 AM

GitHub: 9,485 stars · 14,697 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
23 /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
2 / 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 ChinaSiro/claude-code-sourcemap, 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
  • highabout#1
    Add a clear, concise description to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Unofficial reconstruction of Anthropic's internal Claude code (v2.1.88) from public npm sourcemaps, for research and understanding of Claude's CLI, tools, and multi-agent architecture.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root. Ensure the chosen license clearly defines the terms of use for this *reconstructed* codebase, especially for research and non-commercial purposes, and reiterates that the original source code is copyrighted by Anthropic, as stated in the README.

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 ChinaSiro/claude-code-sourcemap
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. Codeium · recommended 1×
  3. Tabnine · recommended 1×
  4. Cursor · recommended 1×
  5. CodiumAI · recommended 1×
  • CATEGORY QUERY
    What AI tools help with code review, commit generation, and general development tasks?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Codeium
    3. Tabnine
    4. Cursor
    5. CodiumAI
    6. GitKraken
    7. ChatGPT/GPT-4

    AI recommended 7 alternatives but never named ChinaSiro/claude-code-sourcemap. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build an AI coding assistant with multi-agent capabilities and plugin support?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. CrewAI
    6. OpenAI Assistants API
    7. Guidance

    AI recommended 7 alternatives but never named ChinaSiro/claude-code-sourcemap. 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 ChinaSiro/claude-code-sourcemap?
    pass
    AI named ChinaSiro/claude-code-sourcemap explicitly

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

  • If a team adopts ChinaSiro/claude-code-sourcemap in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ChinaSiro/claude-code-sourcemap 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 ChinaSiro/claude-code-sourcemap solve, and who is the primary audience?
    pass
    AI did not name ChinaSiro/claude-code-sourcemap — 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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ChinaSiro/claude-code-sourcemap — 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