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lean-dojo/LeanDojo
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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 lean-dojo/LeanDojo 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
3 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。
- highreadme#1Clarify README's deprecation notice to reflect transition
原因:
当前### Note: This original LeanDojo library is deprecated. Please use LeanDojo-v2 for all new projects. The information below is kept for historical reference. We will soon be moving LeanDojo-v2 here.
复制粘贴的修复### Note: This repository is transitioning to become LeanDojo-v2. While we prepare for the full migration, please refer to the LeanDojo-v2 repository for all new projects. The information below pertains to the original LeanDojo library and is kept for historical reference during this transition.
- mediumreadme#2Strengthen README's opening value proposition for AI research
原因:
当前LeanDojo is a Python library for learning–based theorem provers in Lean, providing two main features: * Extracting data (proof states, tactics, premises, etc.) from Lean repos. * Interacting with Lean programmatically.
复制粘贴的修复LeanDojo is a comprehensive Python library designed for AI research in theorem proving, specifically enabling programmatic interaction with the Lean proof assistant. It provides robust tools for: * **Data Extraction:** Systematically extracting proof states, tactics, premises, and other crucial data from Lean repositories for machine learning model training. * **Programmatic Interaction:** Facilitating real-time, automated interaction with Lean, allowing AI agents to apply tactics and observe proof environments.
- lowreadme#3Complete the 'Questions and Bugs' section with a clear support channel
原因:
当前* For general questions and
复制粘贴的修复* For general questions and bug reports, please open an issue on our [GitHub Issues page](https://github.com/lean-dojo/LeanDojo/issues).
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。
- Coq · 被推荐 1 次
- SerAPI · 被推荐 1 次
- Coq-Elaborator · 被推荐 1 次
- coqtop · 被推荐 1 次
- Lean · 被推荐 1 次
- 品类问题How can I extract proof states and tactics from formal verification systems for machine learning?你:未被推荐AI 推荐顺序:
- Coq
- SerAPI
- Coq-Elaborator
- coqtop
- Lean
- lean --server
- lean --json
- Elan
- Isabelle/HOL
- PIDE
- Isabelle/ML
- Sledgehammer
- F*
- fstar.exe --json
- Dafny
- Boogie
- Z3
- Dafny Language Server
- ACL2
- Common Lisp
AI 推荐了 20 个替代方案,却始终没点名 lean-dojo/LeanDojo。这就是要补上的差距。
查看 AI 完整回答
- 品类问题Python library to programmatically interact with proof assistants for AI research and automation.你:未被推荐AI 推荐顺序:
- PyCoq
- Ltac2Py
- Proof General
- Isabelle/PIDE
- Z3Py
- Lean 4
AI 推荐了 6 个替代方案,却始终没点名 lean-dojo/LeanDojo。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 completenesspass
- README presencepass
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 lean-dojo/LeanDojo?passAI 明确点名了 lean-dojo/LeanDojo
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 lean-dojo/LeanDojo in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 lean-dojo/LeanDojo
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 lean-dojo/LeanDojo solve, and who is the primary audience?passAI 明确点名了 lean-dojo/LeanDojo
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 lean-dojo/LeanDojo 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。
[](https://repogeo.com/zh/r/lean-dojo/LeanDojo)<a href="https://repogeo.com/zh/r/lean-dojo/LeanDojo"><img src="https://repogeo.com/badge/lean-dojo/LeanDojo.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
lean-dojo/LeanDojo — 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