Pare

作者 Dave-London已验证

Dev tools, optimized for agents. Structured, token-efficient MCP servers for git, test runners, npm, Docker, and more.

137
Stars
12
Forks
TypeScript
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/Dave-London/Pare

快速入门

使用 Pare 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

CI codecov npm Downloads TypeScript License: MIT Node.js loading= = 20"> OpenSSF Scorecard OpenSSF Best Practices

Reliable, structured CLI output for AI agents — no more parsing fragile terminal text.

Pare provides MCP servers that wrap common developer tools (git, npm, docker, test runners, etc.) and return clean, schema-validated JSON instead of raw terminal text. Agents get typed data they can act on directly, without brittle string parsing.

The Problem

Parsing CLI output is fragile. Raw terminal text includes ANSI escape codes, decorative headers, progress bars, locale-specific formatting, and platform differences that break agent workflows in subtle ways. An agent that works fine with git status on macOS may fail on Windows because the output format changed. A test runner's summary line might shift between versions, silently breaking a regex.

Pare eliminates this entire class of errors by returning schema-validated JSON with consistent field names, regardless of platform, tool version, or locale. As a bonus, structured output is significantly smaller — agents use fewer tokens per tool call:

Tool Command Raw Tokens Pare Tokens Reduction

docker build (multi-stage, 11 steps) 373 20 95%

git log --stat (5 commits, verbose) 4,992 382 92%

npm install (487 packages, warnings) 241 41 83%

vitest run (28 tests, all pass) 196 39 80%

cargo build (2 errors, help text) 436 138 68%

pip install (9 packages, progress bars) 288 101 65%

cargo test (12 tests, 2 failures) 351 190 46%

npm audit (4 vulnerabilities) 287 185 36%

Token estimates use ~4 chars/token. The biggest savings appear on verbose commands (builds, installs, tests). For simpler tools like eslint or tsc, the main advantage is reliable structured data — agents can use typed JSON directly rather than parsing strings.

How It Works

Each Pare tool returns two outputs:

  • content — human-readable text, for MCP clients that display it

  • structuredContent — typed, schema-validated JSON, ready for agents to process

This uses MCP's structuredContent and outputSchema features to provide type-safe, validated data that agents can rely on without custom parsing.

Example: git status

Raw git output (~118 tokens):

On branch main
Your branch is ahead of 'origin/main' by 2 commits.
  (use "git push" to publish your local commits)

Changes to be committed:
  (use "git restore --staged <file>..." to unstage)
        modified:   src/index.ts
        new file:   src/utils.ts

Changes not staged for commit:
  (use "git add <file>..." to update what will be committed)
  (use "git restore <file>..." to discard changes in working directory)
        modified:   README.md

Untracked files:
  (use "git add <file>..." to include in what will be committed)
        temp.log

Pare structured output (~59 tokens):

{
  "branch": "main",
  "upstream": "origin/main",
  "ahead": 2,
  "staged": [
    { "file": "src/index.ts", "status": "modified" },
    { "file": "src/utils.ts", "status": "added" }
  ],
  "modified": ["README.md"],
  "deleted": [],
  "untracked": ["temp.log"],
  "conflicts": [],
  "clean": false
}

50% fewer tokens. Zero information lost. Fully typed. Savings scale with output verbosity — test runners and build logs see 80–92% reduction.

Available Servers (28 packages, 240 tools)

Install only the servers relevant to your stack — most projects need just 2–4. The full catalog covers a wide range of ecosystems so Pare works wherever you do.

Category Servers Tools Wraps

Version Control git, github 55 git, gh

Languages & Packages npm, python, cargo, go, deno, bun, nix, dotnet, ruby, swift, jvm 101 npm, pip, cargo, go, deno, bun, nix, dotnet, gem, swift, gradle, maven

Build, Lint & Test build, lint, test, cmake, bazel 23 tsc, esbuild, vite, webpack, eslint, prettier, biome, vitest, pytest, jest

Infrastructure docker, k8s, infra, security, remote 40 docker, kubectl, helm, terraform, ansible, trivy, ssh

Utilities search, http, make, process, db 21 ripgrep, fd, curl, make, just, psql, mysql, redis, mongosh

Tool Schemas — detailed response examples and field descriptions for every tool. See also Tool Response Examples for quick JSON samples.

Quick Setup

# 1. Configure MCP servers (non-interactive)
npx @paretools/init --client claude-code --preset web

# 2. Add agent rules to your project
#    (append to existing CLAUDE.md, or copy if new)
cat node_modules/@paretools/init/rules/CLAUDE.md >> CLAUDE.md

# 3. Restart your client session

# 4. Validate
npx @paretools/init doctor

Available presets: web, python, rust, go, jvm, dotnet, ruby, swift, mobile, devops, full

Setup Guides by Client

Claude Code Claude Desktop Cursor

VS Code / Copilot Windsurf Cline / Roo Code

OpenAI Codex Gemini CLI Zed

Continue.dev

Full Quickstart Guide — presets, ecosystem mapping, validation

**[Manual Configuration](./docs/manual-configu

常见问题

What is Pare?

Pare is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Dave-London. Dev tools, optimized for agents. Structured, token-efficient MCP servers for git, test runners, npm, Docker, and more. It has 137 GitHub stars.

Is Pare safe to use?

Yes. Pare passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install Pare?

Clone the repository with "git clone https://github.com/Dave-London/Pare" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is Pare written in?

Pare is primarily written in TypeScript. It is open-source under Dave-London on GitHub, so you can review or fork the full source.

Are there alternatives to Pare?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Pare against similar tools.

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