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formal-provers形式证明者

Agent Skill

formal-provers 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

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下载量

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:formal-provers(形式证明者)
来源仓库:https://github.com/willamhou/formal-provers
安装命令:
openclaw skills install formal-provers
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 formal-provers

简介

formal-provers 集成 Lean 4、Coq 与 Z3 SMT 求解器,支持形式化验证。

  • 适用于算法正确性证明、安全协议验证或数学定理推导场景。
  • 可自动求解约束或生成证明脚本,提升开发可靠性。
  • 使用前需安装对应工具链,注意许可证与运行环境限制。
  • 建议先在小规模案例验证,避免因求解超时影响主流程。

SKILL.md

name
formal-methods
description
Formal verification with Lean 4, Coq, and Z3 SMT solver
metadata
openclaw
emoji
🔬
tags
[formal-verification, lean4, coq, z3, proofs]
source
https://github.com/Prismer-AI/Prismer
homepage
https://github.com/Prismer-AI/Prismer
requires
bins
[lean, coqc, z3]
os
[darwin, linux]
runtime
node

formal-methods

Formal verification tools for the academic workspace. Type-check Lean 4 proofs, verify Coq theories, and solve SMT satisfiability problems with Z3.

Prerequisites

This skill requires the following binaries installed locally (declared in metadata.openclaw.requires.bins):

BinaryInstall
leanLean 4 via elan
coqcCoq via opam install coq
z3Z3 via package manager or GitHub releases

Use prover_status to check which provers are available before use. The skill gracefully handles missing binaries — only installed provers will work.

Source: github.com/Prismer-AI/Prismer (Apache-2.0)

Description

This skill invokes locally installed formal verification provers via subprocess. No Docker, containers, or external services required.

Execution model: Each invocation writes source code to a temporary directory (os.tmpdir()/formal-methods-<hash>/), runs the prover binary with cwd set to that directory, captures stdout/stderr, and applies a 60-second timeout. The exact commands are:

  • Lean: lean <filepath> — may read Lean 4 stdlib and elan-managed toolchains from ~/.elan/
  • Coq: coqc <filepath> — may read Coq stdlib and opam-managed packages from the opam switch
  • Z3: z3 <filepath> — self-contained, only reads the input file. Accepts declarative SMT-LIB2 format only.

Filesystem access: The skill itself only writes to the temp directory. However, Lean and Coq read their installed standard libraries and search paths (managed by elan/opam) as part of normal operation. The skill does not explicitly constrain --include paths or environment variables.

Network access: The skill does not make network requests. However, if Lean source contains import of unresolved packages, lake tooling could theoretically attempt a fetch — this is a Lean runtime behavior, not initiated by the skill. To prevent this, avoid lakefile.lean or lake-manifest.json in the temp directory (which the skill does not create).

Usage Examples

  • "Check if this Lean 4 proof type-checks"
  • "Verify my Coq induction proof"
  • "Is this SMT formula satisfiable?"
  • "What provers are available?"

Process

  1. Check availability — Use prover_status to see which provers are installed
  2. Write proof — Draft your Lean/Coq code or SMT formula
  3. Verify — Use lean_check, coq_check, or z3_solve to verify
  4. Iterate — Fix errors based on output and re-check

Tools

lean_check

Type-check Lean 4 code.

Parameters:

  • code (string, required): Lean 4 source code
  • filename (string, optional): Source filename (default: check.lean)

Returns: { success, output, errors, returncode }

Example:

{ "code": "theorem add_comm (a b : Nat) : a + b = b + a := Nat.add_comm a b" }

coq_check

Check a Coq proof for correctness.

Parameters:

  • code (string, required): Coq source code
  • filename (string, optional): Source filename (default: check.v)

Returns: { success, compiled, output, errors, returncode }

Example:

{ "code": "Theorem plus_comm : forall n m : nat, n + m = m + n.\
Proof. intros. lia. Qed." }

coq_compile

Compile a Coq file to a .vo object file.

Parameters:

  • code (string, required): Coq source code
  • filename (string, optional): Source filename (default: compile.v)

Returns: { success, compiled, output, errors, returncode }

z3_solve

Solve a satisfiability problem using Z3 with SMT-LIB2 format.

Parameters:

  • formula (string, required): SMT-LIB2 formula

Returns: { success, result, model }

Example:

{ "formula": "(declare-const x Int)\
(assert (> x 5))\
(check-sat)\
(get-model)" }

prover_status

Check which formal provers are available and their versions.

Parameters: None

Returns: { provers: { lean4: { available, version }, coq: { available, version }, z3: { available, version } } }

Notes

  • Requires provers declared in metadata.openclaw.requires.bins: lean, coqc, z3
  • Z3 only accepts declarative SMT-LIB2 format — no arbitrary code execution
  • Each invocation has a 60-second timeout (execSync with timeout: 60000)
  • Temp files are written to os.tmpdir()/formal-methods-<hash>/
  • Lean/Coq will read their installed standard libraries (elan/opam managed) as part of normal type-checking
  • The skill itself makes no network requests; Lean imports should avoid lake-managed dependencies to prevent unintended fetches

适合场景

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OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

97.73%
按下载量换算3,294

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可疑

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安装前确认

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