RRepoGEO

REPOGEO REPORT · LITE

hardmaru/slimevolleygym

Default branch master · commit 8ac22434 · scanned 6/16/2026, 10:53:23 PM

GitHub: 785 stars · 124 forks

AI VISIBILITY SCORE
28 /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
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 hardmaru/slimevolleygym, 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
  • highreadme#1
    Reposition README opening to highlight multi-agent and GPU acceleration

    Why:

    CURRENT
    SlimeVolleyGym is a simple gym environment for testing single and multi-agent reinforcement learning algorithms.
    COPY-PASTE FIX
    SlimeVolleyGym is a simple, fast OpenAI Gym environment designed for testing single and multi-agent reinforcement learning algorithms, including those leveraging GPU-accelerated neuroevolution via EvoJAX.
  • mediumreadme#2
    Add a dedicated 'Notes on Libraries' section to the README

    Why:

    CURRENT
    The pre-trained PPO models were trained using stable-baselines v2.10, *not* stable-baselines3.
    COPY-PASTE FIX
    ## Notes on Libraries

- The pre-trained PPO models were trained using stable-baselines v2.10, *not* stable-baselines3.

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 hardmaru/slimevolleygym
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MuJoCo
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MuJoCo · recommended 2×
  2. oxwhirl/smac · recommended 1×
  3. openai/multiagent-particle-envs · recommended 1×
  4. PettingZoo/PettingZoo · recommended 1×
  5. PKU-MARL/MAgent · recommended 1×
  • CATEGORY QUERY
    What are good gym environments for testing multi-agent reinforcement learning algorithms?
    you: not recommended
    AI recommended (in order):
    1. SMAC (StarCraft Multi-Agent Challenge) (oxwhirl/smac)
    2. Multi-Agent Particle Environment (MPE) (openai/multiagent-particle-envs)
    3. PettingZoo (PettingZoo/PettingZoo)
    4. MAgent (PKU-MARL/MAgent)
    5. Google Research Football (google-research/football)
    6. Pommerman (MultiAgentLearning/Pommerman)
    7. Overcooked-AI (HumanCompatibleAI/overcooked_ai)

    AI recommended 7 alternatives but never named hardmaru/slimevolleygym. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which gym environments support GPU-accelerated training for reinforcement learning research?
    you: not recommended
    AI recommended (in order):
    1. Isaac Gym
    2. Isaac Sim
    3. Brax
    4. MuJoCo
    5. DM-Lab
    6. Gymnasium
    7. OpenAI Gym
    8. PyTorch
    9. TensorFlow
    10. Unity ML-Agents
    11. Unity
    12. PhysX
    13. RoboStack
    14. ROS
    15. Gazebo
    16. MuJoCo
    17. PyBullet

    AI recommended 17 alternatives but never named hardmaru/slimevolleygym. 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 hardmaru/slimevolleygym?
    pass
    AI did not name hardmaru/slimevolleygym — 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 hardmaru/slimevolleygym in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hardmaru/slimevolleygym 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 hardmaru/slimevolleygym solve, and who is the primary audience?
    pass
    AI named hardmaru/slimevolleygym explicitly

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

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hardmaru/slimevolleygym — 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