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MaxBittker/rs-sdk

默认分支 main · commit 8f279bd0 · 扫描时间 2026/6/13 02:32:59

星标 602 · Fork 81

AI 可见性总分
28 /100
亟需修复
品类召回
0 / 2
在所有问题中均未被推荐
规则结果
通过 1 · 警告 1 · 失败 0
客观元数据检查
AI 认识你的名字
2 / 3
直接询问时,AI 是否点名你的仓库
如何阅读这份报告

行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 MaxBittker/rs-sdk 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。

行动计划 — 可复制粘贴的修复

2 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。

整体方向
  • highreadme#1
    Reposition the README's opening to clarify its specific domain

    原因:

    当前
    # 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!
    复制粘贴的修复
    # 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

    原因:

    复制粘贴的修复
    ## 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.

本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash

品类可见性 — 真正的 GEO 测试

向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?

各模型使用同一组问题 — 切换标签对比回答与排名。

召回
0 / 2
0% 的问题里出现了 MaxBittker/rs-sdk
平均排名
越小越好。#1 表示首位推荐。
声量占比
0%
在所有被点名的工具中,你占了多少?
头号对手
Farama-Foundation/Gymnasium
在 2 个问题中被推荐 2 次
竞品排行
  1. Farama-Foundation/Gymnasium · 被推荐 2 次
  2. Unity-Technologies/ml-agents · 被推荐 2 次
  3. DLR-RM/stable-baselines3 · 被推荐 1 次
  4. TensorFlow / PyTorch · 被推荐 1 次
  5. langchain-ai/langchain · 被推荐 1 次
  • 品类问题
    What SDKs help build AI agents for automating tasks in an online role-playing game?
    你:未被推荐
    AI 推荐顺序:
    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 推荐了 6 个替代方案,却始终没点名 MaxBittker/rs-sdk。这就是要补上的差距。

    查看 AI 完整回答
  • 品类问题
    Seeking a framework to research multi-agent systems and program synthesis in virtual game environments.
    你:未被推荐
    AI 推荐顺序:
    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 推荐了 10 个替代方案,却始终没点名 MaxBittker/rs-sdk。这就是要补上的差距。

    查看 AI 完整回答

客观检查

针对 AI 引擎最看重的元数据信号的规则审计。

  • Metadata completeness
    warn

    建议:

  • README presence
    pass

自指检查

当被直接问到你时,AI 是否还知道你的仓库存在?

  • Compared to common alternatives in this category, what is the core differentiator of MaxBittker/rs-sdk?
    pass
    AI 明确点名了 MaxBittker/rs-sdk

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • If a team adopts MaxBittker/rs-sdk in production, what risks or prerequisites should they evaluate first?
    pass
    AI 未点名 MaxBittker/rs-sdk —— 很可能在说另一个项目

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

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

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

嵌入你的 GEO 徽章

把这个徽章贴进 MaxBittker/rs-sdk 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。

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订阅 Pro,解锁深度诊断

MaxBittker/rs-sdk — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。

  • 深度报告每月 10 次
  • 无品牌品类查询5,轻量 2
  • 优先行动项8,轻量 3