RRepoGEO

REPOGEO REPORT · LITE

MaxBittker/rs-sdk

Default branch main · commit 8f279bd0 · scanned 6/13/2026, 2:32:59 AM

GitHub: 602 stars · 81 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 MaxBittker/rs-sdk, 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 the README's opening to clarify its specific domain

    Why:

    CURRENT
    # RS-SDK
    
    Research-oriented starter kit for runescape-style bots, including a typescript sdk, agent documentation and bindings, and a server emulator. Works out of the box - tell it what to automate!
    COPY-PASTE FIX
    # RS-SDK: Runescape Automation & AI Agent Research Kit
    
    This is a research-oriented starter kit for building and experimenting with AI agents and bots within the Runescape-style MMO environment. It includes a TypeScript SDK, agent documentation and bindings, and a server emulator, allowing you to automate gameplay and research goal-directed program synthesis and multi-agent systems.
  • mediumreadme#2
    Add a 'Why RS-SDK?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why RS-SDK for Runescape Automation and Agent Research?
    
    While general AI/ML frameworks like OpenAI Gym or Unity ML-Agents provide excellent environments for broad agent development, RS-SDK offers a uniquely tailored platform for Runescape-style MMOs. Unlike generic game engines or ML toolkits, RS-SDK provides:
    
    - **Direct Runescape-style Environment:** A pre-built server emulator and client designed specifically for the complexities of an economic role-playing MMO, eliminating the need to build a game environment from scratch.
    - **Agent-Focused SDK:** A TypeScript SDK optimized for programmatic interaction with the game world, making it easier to develop and test goal-directed program synthesis and multi-agent collaboration.
    - **Research-Ready:** Built to facilitate research into agentic development techniques, offering a rich testing ground for competition and cooperation between AI entities within a controlled, bot-only setting.
    
    This focus allows researchers and developers to bypass the overhead of adapting general tools to a specific game genre, accelerating progress in game AI and automation.

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 MaxBittker/rs-sdk
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Farama-Foundation/Gymnasium
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Farama-Foundation/Gymnasium · recommended 2×
  2. Unity-Technologies/ml-agents · recommended 2×
  3. DLR-RM/stable-baselines3 · recommended 1×
  4. TensorFlow / PyTorch · recommended 1×
  5. langchain-ai/langchain · recommended 1×
  • CATEGORY QUERY
    What SDKs help build AI agents for automating tasks in an online role-playing game?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym / Gymnasium (Farama-Foundation/Gymnasium)
    2. Stable Baselines3 (SB3) (DLR-RM/stable-baselines3)
    3. Unity ML-Agents Toolkit (Unity-Technologies/ml-agents)
    4. TensorFlow / PyTorch
    5. LangChain (langchain-ai/langchain)
    6. Rasa (RasaHQ/rasa)

    AI recommended 6 alternatives but never named MaxBittker/rs-sdk. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework to research multi-agent systems and program synthesis in virtual game environments.
    you: not recommended
    AI recommended (in order):
    1. Unity ML-Agents Toolkit (Unity-Technologies/ml-agents)
    2. OpenAI Gym / Gymnasium (Farama-Foundation/Gymnasium)
    3. DeepMind Lab (deepmind/lab)
    4. Minetest (minetest/minetest)
    5. Godot Engine (godotengine/godot)
    6. Godot-RL-Agents (Godot-AI-Agents/Godot-RL-Agents)
    7. ViZDoom (mwydmuch/ViZDoom)
    8. Minecraft
    9. Project Malmo (Microsoft/malmo)
    10. MineRL (minerllabs/minerl)

    AI recommended 10 alternatives but never named MaxBittker/rs-sdk. 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 MaxBittker/rs-sdk?
    pass
    AI named MaxBittker/rs-sdk explicitly

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

  • If a team adopts MaxBittker/rs-sdk in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name MaxBittker/rs-sdk — 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?

  • In one sentence, what problem does the repo MaxBittker/rs-sdk solve, and who is the primary audience?
    pass
    AI named MaxBittker/rs-sdk explicitly

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

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MaxBittker/rs-sdk — 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