REPOGEO REPORT · LITE
RichardAtCT/claude-code-openai-wrapper
Default branch main · commit 74951748 · scanned 6/5/2026, 11:32:01 AM
GitHub: 553 stars · 111 forks
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 RichardAtCT/claude-code-openai-wrapper, 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.
- highlicense#1Add a LICENSE file to the repository
Why:
COPY-PASTE FIXCreate a LICENSE file in the repository root with the text of the MIT License (or your chosen open-source license).
- mediumreadme#2Enhance the README's opening paragraph for broader context
Why:
CURRENTAn OpenAI API-compatible wrapper for Claude Code, allowing you to use Claude Code with any OpenAI client library. **Now powered by the official Claude Agent SDK v0.1.18** with enhanced authentication and features.
COPY-PASTE FIXAn OpenAI API-compatible wrapper for Claude Code, enabling seamless integration of Anthropic's Claude models with any existing OpenAI client library or application. This project bridges the gap, allowing developers to leverage Claude's capabilities without rewriting their OpenAI-centric codebases. **Now powered by the official Claude Agent SDK v0.1.18** with enhanced authentication and features.
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.
- LiteLLM · recommended 2×
- LangChain · recommended 2×
- OpenRouter · recommended 1×
- Helicone · recommended 1×
- LlamaIndex · recommended 1×
- CATEGORY QUERYHow can I use Anthropic models with existing OpenAI API client libraries?you: not recommendedAI recommended (in order):
- LiteLLM
- OpenRouter
- Helicone
- LangChain
- LlamaIndex
AI recommended 5 alternatives but never named RichardAtCT/claude-code-openai-wrapper. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat is the best way to make a non-OpenAI LLM service compatible with OpenAI's API?you: not recommendedAI recommended (in order):
- LiteLLM
- OpenRouter.ai
- LocalAI
- FastChat
- LangChain
- NGINX
- Flask
- Express.js
AI recommended 8 alternatives but never named RichardAtCT/claude-code-openai-wrapper. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenessfail
Suggestion:
- README presencepass
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 RichardAtCT/claude-code-openai-wrapper?passAI named RichardAtCT/claude-code-openai-wrapper explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts RichardAtCT/claude-code-openai-wrapper in production, what risks or prerequisites should they evaluate first?passAI named RichardAtCT/claude-code-openai-wrapper 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 RichardAtCT/claude-code-openai-wrapper solve, and who is the primary audience?passAI did not name RichardAtCT/claude-code-openai-wrapper — 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 RichardAtCT/claude-code-openai-wrapper. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
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RichardAtCT/claude-code-openai-wrapper — 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