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Agent Skill · 研究检索

prove(prove 搜索)

prove 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

prove 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证为 MIT,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 16,165。

总安装 7,344周安装 306GitHub Stars 3,733下载 2,448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

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:prove(prove 搜索)
来源仓库:https://github.com/parcadei/continuous-claude-v3
仓库路径:skills/prove
安装命令:
npx skills add https://github.com/parcadei/continuous-claude-v3 --skill prove
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/parcadei/continuous-claude-v3 --skill prove

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。

prove 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。

建议结合原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/prove

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/parcadei/continuous-claude-v3 --skill prove;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

    它需要执行命令,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

prove 怎么安装?

在终端执行 npx skills add https://github.com/parcadei/continuous-claude-v3 --skill prove。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

prove 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

prove 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/parcadei/continuous-claude-v3 --skill prove;npx skills add parcadei/continuous-claude-v3 --skill "prove" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

prove 是免费的吗?

来源标注的许可证是 MIT。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。

prove 用的人多吗?

公开数据是累计安装 7,344 次,近一周安装 306 次,下载 2,448 次,GitHub 3,733 星。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。

prove 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 来源仓库有 3,733 星,维护活跃度相对可查。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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 Codex,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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
prove

prove 搜索 · 本页

7,3443,733执行命令MIT未通过

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

/prove - Machine-Verified Proofs (5-Phase Workflow)

For mathematicians who want verified proofs without learning Lean syntax.

Prerequisites

Before using this skill, check Lean4 is installed:

# Check if lake is available
command -v lake &>/dev/null && echo "Lean4 installed" || echo "Lean4 NOT installed"

If not installed:

# Install elan (Lean version manager)
curl https://raw.githubusercontent.com/leanprover/elan/master/elan-init.sh -sSf | sh

# Restart shell, then verify
lake --version

First run of /prove will download Mathlib (~2GB) via lake build.

Usage

/prove every group homomorphism preserves identity
/prove Monsky's theorem
/prove continuous functions on compact sets are uniformly continuous

The 5-Phase Workflow

┌─────────────────────────────────────────────────────────────┐
│  📚 RESEARCH → 🏗️ DESIGN → 🧪 TEST → ⚙️ IMPLEMENT → ✅ VERIFY  │
└─────────────────────────────────────────────────────────────┘

Phase 1: RESEARCH (before any Lean)

Goal: Understand if/how this can be formalized.

  1. Search Mathlib with Loogle (PRIMARY - type-aware search) # Use loogle for type signature search - finds lemmas by shape loogle-search "pattern_here" # Examples: loogle-search "Nontrivial _ ↔ _" # Find Nontrivial lemmas loogle-search "(?a →?b) → List?a → List?b" # Map-like functions loogle-search "IsCyclic, center" # Multiple concepts Query syntax:

- _ = any single type - ?a, ?b = type variables (same var = same type) - Foo, Bar = must mention both

  1. Search External - What's the known proof strategy?

- Use Nia MCP if available: mcp__nia__search - Use Perplexity MCP if available: mcp__perplexity__search - Fall back to WebSearch for papers/references - Check: Is there an existing formalization elsewhere (Coq, Isabelle)?

  1. Identify Obstacles

- What lemmas are NOT in Mathlib? - Does proof require axioms beyond ZFC? (Choice, LEM, etc.) - Is the statement even true? (search for counterexamples)

  1. Output: Brief summary of proof strategy and obstacles

CHECKPOINT: If obstacles found, use AskUserQuestion:

  • "This requires [X]. Options: (a) restricted version, (b) accept axiom, (c) abort"

Phase 2: DESIGN (skeleton with sorries)

Goal: Build proof structure before filling details.

  1. Create Lean file with:

- Imports - Definitions needed - Main theorem statement - Helper lemmas as sorry

  1. Annotate each sorry: -- SORRY: needs proof (straightforward) -- SORRY: needs proof (complex - ~50 lines) -- AXIOM CANDIDATE: v₂ constraint - will test in Phase 3
  2. Verify skeleton compiles (with sorries)

Output: proofs/<theorem_name>.lean with annotated structure

Phase 3: TEST (counterexample search)

Goal: Catch false lemmas BEFORE trying to prove them.

For each AXIOM CANDIDATE sorry:

  1. Generate test cases -- Create #eval or example statements #eval testLemma (randomInput1) -- should return true #eval testLemma (randomInput2) -- should return true
  2. Run tests lake env lean test_lemmas.lean
  3. If counterexample found:

- Report the counterexample - Use AskUserQuestion: "Lemma is FALSE. Options: (a) restrict domain, (b) reformulate, (c) abort"

CHECKPOINT: Only proceed if all axiom candidates pass testing.

Phase 4: IMPLEMENT (fill sorries)

Goal: Complete the proofs.

Standard iteration loop:

  1. Pick a sorry
  2. Write proof attempt
  3. Compiler-in-the-loop checks (hook fires automatically)
  4. If error, Godel-Prover suggests fixes
  5. Iterate until sorry is filled
  6. Repeat for all sorries

Tools active:

  • compiler-in-the-loop hook (on every Write)
  • Godel-Prover suggestions (on errors)

Phase 5: VERIFY (audit)

Goal: Confirm proof quality.

  1. Axiom Audit lake build && grep "depends on axioms" output

- Standard: propext, Classical.choice, Quot.sound ✓ - Custom axioms: LIST EACH ONE

  1. Sorry Count grep -c "sorry" proofs/<file>.lean

- Must be 0 for "complete" proof

  1. Generate Summary ✓ MACHINE VERIFIED (or ⚠️ PARTIAL - N axioms) Theorem: <statement> Proof Strategy: <brief description> Proved: - <lemma 1> - <lemma 2> Axiomatized (if any): - <axiom>: <why it's needed> File: proofs/<name>.lean

Research Tool Priority

Use whatever's available, in order:

ToolBest ForCommand
LoogleType signature search (PRIMARY)loogle-search "pattern"
Nia MCPLibrary documentationmcp__nia__search
Perplexity MCPProof strategies, papersmcp__perplexity__search
WebSearchGeneral referencesWebSearch tool
WebFetchSpecific paper/page contentWebFetch tool

Loogle setup: Requires ~/tools/loogle with Mathlib index. Run loogle-server & for fast queries.

If no search tools available, proceed with caution and note "research phase skipped".

Checkpoints (automatic)

The workflow pauses for user input when:

  • ⚠️ Research finds obstacles
  • ❌ Testing finds counterexamples
  • 🔄 Implementation hits unfillable sorry after N attempts

Output Format

┌─────────────────────────────────────────────────────┐
│ ✓ MACHINE VERIFIED                                  │
│                                                     │
│ Theorem: ∀ φ : G →* H, φ(1_G) = 1_H                │
│                                                     │
│ Proof Strategy: Direct application of              │
│ MonoidHom.map_one from Mathlib.                    │
│                                                     │
│ Phases:                                             │
│   📚 Research: Found in Mathlib.Algebra.Group.Hom  │
│   🏗️ Design: Single lemma, no sorries needed       │
│   🧪 Test: N/A (trivial)                           │
│   ⚙️ Implement: 3 lines                            │
│   ✅ Verify: 0 custom axioms, 0 sorries            │
│                                                     │
│ File: proofs/group_hom_identity.lean               │
└─────────────────────────────────────────────────────┘

What I Can Prove

DomainExamples
Category TheoryFunctors, natural transformations, Yoneda
Abstract AlgebraGroups, rings, homomorphisms
TopologyContinuity, compactness, connectedness
AnalysisLimits, derivatives, integrals
LogicPropositional, first-order

Limitations

  • Complex proofs may take multiple iterations
  • Novel research-level proofs may exceed capabilities
  • Some statements are unprovable over ℚ (need ℝ extension)

Behind The Scenes

  • Lean 4.26.0 - Theorem prover
  • Mathlib - 100K+ formalized theorems
  • Godel-Prover - AI tactic suggestions (via LMStudio)
  • Compiler-in-the-loop - Automatic verification on every write
  • Research tools - Nia, Perplexity, WebSearch (graceful degradation)

See Also

  • /loogle-search - Search Mathlib by type signature (used in Phase 1 RESEARCH)
  • /math-router - For computation (integrals, equations)
  • /lean4 - Direct Lean syntax access

平台分布

Claude Code

29.91%
按下载量换算732

OpenCode

22.18%
按下载量换算543

Gemini CLI

16.08%
按下载量换算394

Codex

11.5%
按下载量换算282

Cursor

7.11%
按下载量换算174

Antigravity

3.7%
按下载量换算91

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/parcadei/continuous-claude-v3 --skill prove;npx skills add parcadei/continuous-claude-v3 --skill "prove" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。

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