REPOGEO REPORT · LITE
OpenGenerativeAI/llm-colosseum
Default branch main · commit f51f0b04 · scanned 5/12/2026, 10:51:50 AM
GitHub: 1,481 stars · 181 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 OpenGenerativeAI/llm-colosseum, 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.
- highreadme#1Reposition README opening to clarify LLM evaluation focus
Why:
CURRENTMake LLM fight each other in real time in Street Fighter III. Which LLM will be the best fighter ?
COPY-PASTE FIXThis project introduces a novel, real-time benchmark for Large Language Models (LLMs) by pitting them against each other in Street Fighter III. It's designed to evaluate LLM performance in strategic thinking, real-time decision-making, and adaptability within a dynamic game environment.
- mediumtopics#2Add more specific topics for LLM evaluation and strategic AI
Why:
CURRENTbenchmark, genai, llm, streetfighterai
COPY-PASTE FIXbenchmark, genai, llm, streetfighterai, llm-evaluation, ai-agents, strategic-ai, real-time-decision-making
- mediumabout#3Enhance repository description to highlight unique evaluation methodology
Why:
CURRENTBenchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM
COPY-PASTE FIXA novel benchmark for LLMs: evaluate their strategic thinking and real-time decision-making by having them fight in Street Fighter 3. Discover a new way to assess LLM quality beyond traditional metrics.
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.
- Farama-Foundation/Gymnasium · recommended 1×
- Unity-Technologies/ml-agents · recommended 1×
- minerllabs/minerl · recommended 1×
- Microsoft/malmo · recommended 1×
- microsoft/textworld · recommended 1×
- CATEGORY QUERYHow to evaluate LLM performance using interactive, real-time game environments?you: not recommendedAI recommended (in order):
- Farama Foundation Gymnasium (Farama-Foundation/Gymnasium)
- Unity ML-Agents Toolkit (Unity-Technologies/ml-agents)
- MineRL (minerllabs/minerl)
- Project Malmo (Microsoft/malmo)
- TextWorld (microsoft/textworld)
- Jericho (mike-gifford/jericho)
- Phaser.js (photonstorm/phaser)
- Three.js (mrdoob/three.js)
- Flask (pallets/flask)
- FastAPI (tiangolo/fastapi)
AI recommended 10 alternatives but never named OpenGenerativeAI/llm-colosseum. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools help benchmark large language models for strategic thinking and real-time decision-making?you: not recommendedAI recommended (in order):
- HELM
- BIG-bench
- AgentBench
- OpenAI Evals
- LangChain
- RAGAS
- Scale AI
- Appen
AI recommended 8 alternatives but never named OpenGenerativeAI/llm-colosseum. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- 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 OpenGenerativeAI/llm-colosseum?passAI did not name OpenGenerativeAI/llm-colosseum — 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 OpenGenerativeAI/llm-colosseum in production, what risks or prerequisites should they evaluate first?passAI named OpenGenerativeAI/llm-colosseum 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 OpenGenerativeAI/llm-colosseum solve, and who is the primary audience?passAI did not name OpenGenerativeAI/llm-colosseum — 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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OpenGenerativeAI/llm-colosseum — 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