REPOGEO REPORT · LITE
Kautenja/gym-super-mario-bros
Default branch master · commit cbbae307 · scanned 5/31/2026, 12:46:51 AM
GitHub: 859 stars · 170 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 Kautenja/gym-super-mario-bros, 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.
- highabout#1Update repository description to reflect Gymnasium
Why:
CURRENTAn OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
COPY-PASTE FIXA Gymnasium environment for Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
- hightopics#2Update and expand repository topics
Why:
CURRENTnes-py, openai-gym, super-mario-bros, super-mario-bros-2-lost-levels
COPY-PASTE FIXnes-py, gymnasium, super-mario-bros, super-mario-bros-2-lost-levels, reinforcement-learning, retro-gaming
- mediumhomepage#3Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://pypi.org/project/gym-super-mario-bros/
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.
- Gym Retro · recommended 2×
- OpenAI Gym · recommended 2×
- Arcade Learning Environment (ALE) · recommended 1×
- PyGame Learning Environment (PLE) · recommended 1×
- Minigrid · recommended 1×
- CATEGORY QUERYWhat are good Python environments for reinforcement learning with retro platformer games?you: not recommendedAI recommended (in order):
- Gym Retro
- Arcade Learning Environment (ALE)
- OpenAI Gym
- PyGame Learning Environment (PLE)
- Minigrid
- Procgen Benchmark
AI recommended 6 alternatives but never named Kautenja/gym-super-mario-bros. This is the gap to close.
Show full AI answer
- CATEGORY QUERYHow to develop AI agents that can learn to play classic 8-bit side-scrolling video games?you: not recommendedAI recommended (in order):
- OpenAI Gym
- Stable Baselines3
- PettingZoo
- RLlib
- ViZDoom
- TensorFlow Agents (TF-Agents)
- PyTorch Lightning
- TorchRL
- Gym Retro
AI recommended 9 alternatives but never named Kautenja/gym-super-mario-bros. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
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 Kautenja/gym-super-mario-bros?passAI named Kautenja/gym-super-mario-bros explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts Kautenja/gym-super-mario-bros in production, what risks or prerequisites should they evaluate first?passAI named Kautenja/gym-super-mario-bros 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 Kautenja/gym-super-mario-bros solve, and who is the primary audience?passAI did not name Kautenja/gym-super-mario-bros — 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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Kautenja/gym-super-mario-bros — 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