Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计提醒

acorn-prover橡子发酵机

Agent Skill

acorn-prover 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。

总安装

52,285

周安装

2,223

GitHub Stars

1

下载量

18,318
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:acorn-prover(橡子发酵机)
来源仓库:https://github.com/flyingnobita/acorn-prover
安装命令:
openclaw skills install acorn-prover
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 acorn-prover

简介

使用 Acorn 定理证明器验证并编写数学和密码形式化证明。在使用 Acorn 证明文件 (.ac)、验证定理、形式化数学或加密协议或用 Acorn 语言编写证明时使用。触发条件:(1) 创建或编辑 .ac 文件,(2) 运行 acorn verify 命令,(3) 形式化数学或加密证明,(4) 有关 Acorn 语法或标准库的问题。

SKILL.md

name
acorn-prover
description
Verify and write proofs using the Acorn theorem prover for mathematical and cryptographic formalization. Use when working with Acorn proof files (.ac), verifying theorems, formalizing mathematical or cryptographic protocols, or writing proofs in the Acorn language. Triggers on: (1) Creating or editing .ac files, (2) Running acorn verify commands, (3) Formalizing math or crypto proofs, (4) Questions about Acorn syntax or standard library.

Acorn Prover

Setup (MUST DO WHEN RUNNING FIRST TIME)

If config.env does not exist in the skill directory:

  1. Ask the user for the following paths:

- ACORN_LIB - Path to acornlib (e.g., /path/to/acornprover/acornlib) - ACORN_PROJECT - Path to project directory for .ac files (e.g., /path/to/acorn-playground)

  1. Verify the paths exist using list_dir or equivalent. If a path is invalid, inform the user and ask again.
  1. Run setup.sh with the validated paths:
bash skills/acorn-prover/scripts/setup.sh "<ACORN_LIB>" "<ACORN_PROJECT>"
  1. Source the config to get ACORN_LIB, ACORN_PROJECT, and USE_MISE variables:
source skills/acorn-prover/config.env

If any of the above are blank / not set, inform the user to set the variable manually. If any of the above are changed, ask the user for new paths and run setup again.

Configuration

Config values are stored in skills/acorn-prover/config.env:

VariableDescription
ACORN_LIBPath to acornlib
ACORN_PROJECTProject directory for .ac files
USE_MISEtrue if mise is available

Verify Proofs

If USE_MISE=true:

mise run acorn verify <filename>.ac

Otherwise, use the direct CLI:

acorn --lib "$ACORN_LIB" verify <filename>.ac

Reverify Proofs (CI/CD)

Check that all proofs are cached with no AI searches required:

# With mise
mise run acorn reverify

# Or direct CLI
acorn --lib "$ACORN_LIB" reverify

Use for CI pipelines to ensure all proofs are complete.

Training Data Generation

Generate training data (problem-proof pairs) for AI model development:

# With mise
mise run acorn training ./training_data

# Or direct CLI
acorn --lib "$ACORN_LIB" training ./training_data

Argument: DIR - Directory to output training data.

Documentation Generation

Generate library reference documentation:

# With mise
mise run acorn docs ./docs/library

# Or direct CLI
acorn --lib "$ACORN_LIB" docs ./docs/library

Argument: DIR - Directory to output documentation.

Workflow

  1. Source config: source skills/acorn-prover/config.env
  2. Write proof file in $ACORN_PROJECT/
  3. Run the appropriate command (verify, reverify, training, docs)
  4. Always show the full command output to the user (success or error)
  5. Debug errors using the common errors table in references/syntax.md
  6. Iterate until verification passes

Quick Syntax Overview

from nat import Nat
from add_comm_group import AddCommGroup

// Theorems - auto-proved or with hints
theorem example(a: Nat, b: Nat) {
    a < b implies a != b
}

// Typeclasses - axioms are named blocks, no "axiom" keyword
typeclass A: AddGroup extends Zero, Neg, Add {
    inverse_right(a: A) { a + -a = A.0 }
}

// Structures
structure Pair[T, U] { first: T  second: U }

// Inductive types - constructors MUST be lowercase
inductive MyBool { tru fls }

Key points:

  • Built-in logic keywords (not, and, or, implies, iff, true, false) are reserved - do not redefine
  • Constructor names must be lowercase
  • Typeclass axioms use named blocks, not the axiom keyword

Standard Library (acornlib)

Key modules in $ACORN_LIB/src:

ModuleContents
nat/Natural number axioms, induction, addition
add_group.acAddGroup with a + -a = A.0
add_comm_group.acAbelian groups (AddCommGroup)

References

  • Full syntax, error table, examples: See references/syntax.md
  • Context7 docs: Use context7 MCP with /acornprover/acorn or /acornprover/acornlib for latest documentation

适合场景

01

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

04

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

71.2%
按下载量换算13,042

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills