Agent-friendly CLI layer inspired by GNU Coreutils.
Project description
AICoreUtils
中文说明
AICoreUtils 是一个面向 LLM Agent 的 JSON 优先命令行工具包原型。它参考 GNU Coreutils 的常用命令,但不是完整的 GNU 兼容替代品。
项目目标是给机器调用方提供确定、低噪音、易解析的 CLI 接口:
- 默认输出 JSON
- 错误以 JSON 写入 stderr
- 退出码语义稳定
- 修改文件的命令支持
--dry-run - 需要管道组合时显式使用
--raw
快速开始
pip install aicoreutils
aicoreutils schema --pretty
aicoreutils ls . --limit 20
aicoreutils rm build --recursive --dry-run
🤖 Claude Desktop / MCP 集成
一行配置,让 Claude 直接操作你的文件系统:
编辑 Claude Desktop 配置文件(详细说明 →):
| 系统 | 配置文件 |
|---|---|
| macOS | ~/Library/Application Support/Claude/claude_desktop_config.json |
| Windows | %APPDATA%\Claude\claude_desktop_config.json |
| Linux | ~/.config/Claude/claude_desktop_config.json |
{
"mcpServers": {
"aicoreutils": {
"command": "python",
"args": ["-m", "aicoreutils.mcp_server"]
}
}
}
重启 Claude Desktop,然后对它说:
"列出项目里所有 Python 文件,统计代码行数"
Claude 自动调用 aicoreutils ls + aicoreutils wc,全程 JSON 交互。
更多集成方式:aicoreutils tool-list --format openai 输出 OpenAI Function Calling 格式,可直接用于任意 Agent 框架。
运行测试
# 推荐主入口(pytest,含 Hypothesis property-based 测试和 GNU 对照测试)
python -m pytest project/tests/ -v --tb=short
# Legacy 入口(unittest,部分运行器)
python -m unittest discover -s project/tests -v
项目结构
.
|-- src/aicoreutils/ # Python 包源码
|-- .github/ # CI、Copilot 指令和开发脚本
|-- pyproject.toml # 包元数据和构建配置
|-- README.md # 项目入口
`-- project/ # 项目附属资源
|-- tests/ # 子进程级行为测试
|-- docs/ # 文档入口和分类文档目录
| |-- reference/ # 协议、命令面和安全生产契约
| |-- guides/ # 使用指南
| |-- audits/ # 兼容性和质量审计
| |-- development/ # 测试和开发说明
| |-- status/ # 当前项目状态(唯一权威来源)
| |-- analysis/ # 项目分析日志(历史归档)
| |-- agent-guides/ # AI 辅助编码与文档治理规则
| `-- reports/ # 测试报告等生成/归档文档
|-- vendor/gnu-coreutils/ # 本地上游源码缓存,默认被 Git 忽略
`-- AGENTS.md # 仓库级 Agent 入口规则
文档
发布状态
当前实现:aicoreutils schema 中登记 114 个 CLI 命令(含 tool-list 等 Agent 元命令)。
重要限制:本项目是受 GNU Coreutils 启发的 Agent 友好子集,不是完整的 GNU Coreutils 克隆。
English
AICoreUtils is a JSON-first command-line toolkit prototype for LLM agents. It is inspired by common GNU Coreutils commands, but it is not a complete GNU-compatible replacement.
The goal is a deterministic, low-noise interface for machine callers:
- JSON output by default
- JSON errors on stderr
- Stable semantic exit codes
--dry-runfor mutation commands- Explicit
--rawoutput for pipeline composition
Quick Start
pip install aicoreutils
aicoreutils schema --pretty
aicoreutils ls . --limit 20
aicoreutils rm build --recursive --dry-run
🤖 Claude Desktop / MCP Integration
One config line to let Claude operate your filesystem:
Edit Claude Desktop config (full guide →):
| OS | Config File |
|---|---|
| macOS | ~/Library/Application Support/Claude/claude_desktop_config.json |
| Windows | %APPDATA%\Claude\claude_desktop_config.json |
| Linux | ~/.config/Claude/claude_desktop_config.json |
{
"mcpServers": {
"aicoreutils": {
"command": "python",
"args": ["-m", "aicoreutils.mcp_server"]
}
}
}
Restart Claude Desktop, then ask:
"List all Python files in the project and count lines of code"
Claude calls aicoreutils ls + aicoreutils wc automatically.
For other frameworks: aicoreutils tool-list --format openai outputs OpenAI Function Calling format directly.
Run tests
# Recommended primary entry (pytest, includes Hypothesis property-based and GNU differential tests)
python -m pytest project/tests/ -v --tb=short
# Legacy entry (unittest, partial runner)
python -m unittest discover -s project/tests -v
Project Layout
.
|-- src/aicoreutils/ # Python package
|-- .github/ # CI, Copilot instructions and development scripts
|-- pyproject.toml # package metadata and build config
|-- README.md # project entry point
`-- project/ # project collateral
|-- tests/ # subprocess-level behavior tests
|-- docs/ # documentation index and categorized docs
| |-- reference/ # protocol, command-surface and security contracts
| |-- guides/ # usage guides
| |-- audits/ # compatibility and quality audits
| |-- development/ # testing and development notes
| |-- status/ # current project status (single authoritative source)
| |-- analysis/ # project analysis logs (historical archive)
| |-- agent-guides/ # AI coding assistant and docs governance rules
| `-- reports/ # test reports and archived generated docs
|-- vendor/gnu-coreutils/ # local upstream source cache, ignored by Git by default
`-- AGENTS.md # repository-level agent entry rules
Documentation
- Documentation index
- Current project status ← authoritative status source
- Agent protocol and examples
- Security model
- Chinese/English user guide
- GNU Coreutils compatibility audit
- Testing guide
- WSL local CI
- Documentation governance rules
- Fact propagation matrix
Release Status
Current implementation: 114 CLI commands in aicoreutils schema (including agent-native meta-commands like tool-list).
Important limitation: this project is an agent-friendly subset inspired by GNU Coreutils, not a full GNU Coreutils clone.
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