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Agent Skill · 研究检索

lean4-proof-lean4-theorem-proving(精益 4 证明 精益 4 定理证明)

lean4-proof-lean4-theorem-proving 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

lean4-proof-lean4-theorem-proving 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 34,304。

总安装 2,250周安装 91GitHub Stars 公开资料未说明下载 706核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:lean4-proof-lean4-theorem-proving(精益 4 证明 精益 4 定理证明)
来源仓库:https://github.com/wu-uk/lean4-proof-lean4-theorem-proving
安装命令:
openclaw skills install lean4-proof-lean4-theorem-proving
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install lean4-proof-lean4-theorem-proving

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

协助处理 Lean 4 定理证明中的实例合成错误。管理抱歉/公理消除等高级证明策略操作。适用于形式化验证与数学库开发辅助任务。安装命令:openclaw skills install lean4-proof-lean4-theorem-proving。注意 Lean 4 环境依赖与本地编译配置要求。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install lean4-proof-lean4-theorem-proving;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

lean4-proof-lean4-theorem-proving 怎么安装?

在终端执行 openclaw skills install lean4-proof-lean4-theorem-proving。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

lean4-proof-lean4-theorem-proving 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

lean4-proof-lean4-theorem-proving 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

lean4-proof-lean4-theorem-proving 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

lean4-proof-lean4-theorem-proving 用的人多吗?

公开数据是累计安装 2,250 次,近一周安装 91 次,下载 706 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

lean4-proof-lean4-theorem-proving 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
lean4-proof-lean4-theorem-proving

精益 4 证明 精益 4 定理证明 · 本页

2,250—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
lean4-theorem-proving
description
Use when working with Lean 4 (.lean files), writing mathematical proofs, seeing "failed to synthesize instance" errors, managing sorry/axiom elimination, or searching mathlib for lemmas - provides build-first workflow, haveI/letI patterns, compiler-guided repair, and LSP integration

Lean 4 Theorem Proving

Core Principle

Build incrementally, structure before solving, trust the type checker. Lean's type checker is your test suite.

Success = lake build passes + zero sorries + zero custom axioms. Theorems with sorries/axioms are scaffolding, not results.

Quick Reference

ResourceWhat You GetWhere to Find
Interactive Commands10 slash commands for search, analysis, optimization, repairType /lean in Claude Code (full guide)
Automation Scripts19 tools for search, verification, refactoring, repairPlugin scripts/ directory (scripts/README.md)
Subagents4 specialized agents for batch tasks (optional)subagent-workflows.md
LSP Server30x faster feedback with instant proof state (optional)lean-lsp-server.md
Reference Files18 detailed guides (phrasebook, tactics, patterns, errors, repair, performance)List below

When to Use

Use for ANY Lean 4 development: pure/applied math, program verification, mathlib contributions.

Critical for: Type class synthesis errors, sorry/axiom management, mathlib search, measure theory/probability work.

Tools & Workflows

7 slash commands for search, analysis, and optimization - type /lean in Claude Code. See COMMANDS.md for full guide with examples and workflows.

16 automation scripts for search, verification, and refactoring. See scripts/README.md for complete documentation.

Lean LSP Server (optional) provides 30x faster feedback with instant proof state and parallel tactic testing. See lean-lsp-server.md for setup and workflows.

Subagent delegation (optional, Claude Code users) enables batch automation. See subagent-workflows.md for patterns.

Build-First Principle

ALWAYS compile before committing. Run lake build to verify. "Compiles" ≠ "Complete" - files can compile with sorries/axioms but aren't done until those are eliminated.

The 4-Phase Workflow

  1. Structure Before Solving - Outline proof strategy with have statements and documented sorries before writing tactics
  2. Helper Lemmas First - Build infrastructure bottom-up, extract reusable components as separate lemmas
  3. Incremental Filling - Fill ONE sorry at a time, compile after each, commit working code
  4. Type Class Management - Add explicit instances with haveI/letI when synthesis fails, respect binder order for sub-structures

Finding and Using Mathlib Lemmas

Philosophy: Search before prove. Mathlib has 100,000+ theorems.

Use /search-mathlib slash command, LSP server search tools, or automation scripts. See mathlib-guide.md for detailed search techniques, naming conventions, and import organization.

Essential Tactics

Key tactics: simp only, rw, apply, exact, refine, by_cases, rcases, ext/funext. See tactics-reference.md for comprehensive guide with examples and decision trees.

Domain-Specific Patterns

Analysis & Topology: Integrability, continuity, compactness patterns. Tactics: continuity, fun_prop.

Algebra: Instance building, quotient constructions. Tactics: ring, field_simp, group.

Measure Theory & Probability (emphasis in this skill): Conditional expectation, sub-σ-algebras, a.e. properties. Tactics: measurability, positivity. See measure-theory.md for detailed patterns.

Complete domain guide: domain-patterns.md

Managing Incomplete Proofs

Standard mathlib axioms (acceptable): Classical.choice, propext, quot.sound. Check with #print axioms theorem_name or /check-axioms.

CRITICAL: Sorries/axioms are NOT complete work. A theorem that compiles with sorries is scaffolding, not a result. Document every sorry with concrete strategy and dependencies. Search mathlib exhaustively before adding custom axioms.

When sorries are acceptable: (1) Active work in progress with documented plan, (2) User explicitly approves temporary axioms with elimination strategy.

Not acceptable: "Should be in mathlib", "infrastructure lemma", "will prove later" without concrete plan.

Compiler-Guided Proof Repair

When proofs fail to compile, use iterative compiler-guided repair instead of blind resampling.

Quick repair: /lean4-theorem-proving:repair-file FILE.lean

How it works:

  1. Compile → extract structured error (type, location, goal, context)
  2. Try automated solver cascade first (many simple cases handled mechanically, zero LLM cost)

- Order: rfl → simp → ring → linarith → nlinarith → omega → exact? → apply? → aesop

  1. If solvers fail → call lean4-proof-repair agent:

- Stage 1: Haiku (fast, most common cases) - 6 attempts - Stage 2: Sonnet (precise, complex cases) - 18 attempts

  1. Apply minimal patch (1-5 lines), recompile, repeat (max 24 attempts)

Key benefits:

  • Low sampling budget (K=1 per attempt, not K=100)
  • Error-driven action selection (specific fix per error type, not random guessing)
  • Fast model first (Haiku), escalate only when needed (Sonnet)
  • Solver cascade handles simple cases mechanically (zero LLM cost)
  • Early stopping prevents runaway costs (bail after 3 identical errors)

Expected outcomes: Success improves over time as structured logging enables learning from attempts. Cost optimized through solver cascade (free) and multi-stage escalation.

Commands:

  • /repair-file FILE.lean - Full file repair
  • /repair-goal FILE.lean LINE - Specific goal repair
  • /repair-interactive FILE.lean - Interactive with confirmations

Detailed guide: compiler-guided-repair.md

Inspired by: APOLLO (https://arxiv.org/abs/2505.05758) - compiler-guided repair with multi-stage models and low sampling budgets.

Common Compilation Errors

ErrorFix
"failed to synthesize instance"Add haveI : Instance := ...
"maximum recursion depth"Provide manually: letI := ...
"type mismatch"Use coercion: (x : ℝ) or ↑x
"unknown identifier"Add import

See compilation-errors.md for detailed debugging workflows.

Documentation Conventions

  • Write timeless documentation (describe what code is, not development history)
  • Don't highlight "axiom-free" status after proofs are complete
  • Mark internal helpers as private or in dedicated sections
  • Use example for educational code, not lemma/theorem

Quality Checklist

Before commit:

  • [ ] lake build succeeds on full project
  • [ ] All sorries documented with concrete strategy
  • [ ] No new axioms without elimination plan
  • [ ] Imports minimal

Doing it right: Sorries/axioms decrease over time, each commit completes one lemma, proofs build on mathlib.

Red flags: Sorries multiply, claiming "complete" with sorries/axioms, fighting type checker for hours, monolithic proofs (>100 lines), long have blocks (>30 lines should be extracted as lemmas - see proof-refactoring.md).

Reference Files

Core references: lean-phrasebook.md, mathlib-guide.md, tactics-reference.md, compilation-errors.md

Domain-specific: domain-patterns.md, measure-theory.md, instance-pollution.md, calc-patterns.md

Incomplete proofs: sorry-filling.md, axiom-elimination.md

Optimization & refactoring: performance-optimization.md, proof-golfing.md, proof-refactoring.md, mathlib-style.md

Automation: compiler-guided-repair.md, lean-lsp-server.md, lean-lsp-tools-api.md, subagent-workflows.md

平台分布

OpenClaw

78.26%
按下载量换算553

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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