原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Judges Panel

作者:KevinRabun版本 3.129.9i★ –i在你的电脑上运行
注册名称io.github.KevinRabun/judges

安装

概览

作者提供的说明(英文原文)

45 judges that evaluate AI-generated code for security, cost, and quality with built-in AST.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 网络安全

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "judges": {
      "command": "npx",
      "args": [
        "-y",
        "@kevinrabun/judges"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add judges -- npx -y @kevinrabun/judges

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "judges": {
      "command": "npx",
      "args": [
        "-y",
        "@kevinrabun/judges"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "judges": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@kevinrabun/judges"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 KevinRabun 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“网络安全”中的其他服务器比较i

  • 星标数多于此分类中其他 1000 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1000 个服务器的 11% 更新
  • 基础检查结果等于或优于此分类中其他 1000 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Judges Panel 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(3.129.9)于7个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:EchelonGraph CVE & Exposure, KillerSkills, Phishnoo Sandbox

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

EchelonGraph CVE & Exposure

CVE, KEV, EPSS, SBOM and advisory lookups; per-CVE exposure from Shodan data (© Shodan). Keyless.

作者:echelongraph起步阶段↓ 1360/周今天更新

电脑或云端✓ echelongraph.io

KillerSkills

Security verdicts for agent skills and MCP servers, from sandbox runs, before you install them.

作者:cyligence-karim正在增长↓ 3070/周今天更新

在你的电脑上运行

Phishnoo Sandbox

Explore synthetic security awareness metrics and file example threat reports.

作者:api.phishnoo.nl起步阶段今天更新

在云端运行✓ api.phishnoo.nl

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Judges Panel

An MCP (Model Context Protocol) server that provides a panel of 45 specialized judges to evaluate AI-generated code — acting as an independent quality gate regardless of which project is being reviewed. Combines deterministic pattern matching & AST analysis (instant, offline, zero LLM calls) with LLM-powered deep-review prompts that let your AI assistant perform expert-persona analysis across all 45 domains.

Highlights:

  • Includes an App Builder Workflow (3-step) demo for release decisions, plain-language risk summaries, and prioritized fixes — see Try the Demo.
  • Includes V2 context-aware evaluation with policy profiles, evidence calibration, specialty feedback, confidence scoring, and uncertainty reporting.
  • Includes public repository URL reporting to clone a repo, run the full tribunal, and output a consolidated markdown report.
  • 200+ deterministic auto-fix patches (see src/patches/index.ts) plus LLM-powered deep review.

🧪 Many commands in printHelp are experimental/roadmap. By default, we show GA commands only. Set JUDGES_SHOW_EXPERIMENTAL=1 to reveal stubs; these may not be wired yet.

🔰 Packages

- CLI: @kevinrabun/judges-cli → binary judges (use npx @kevinrabun/judges-cli eval --file app.ts).

- MCP/API: @kevinrabun/judges → programmatic API + MCP server (npm install @kevinrabun/judges).

- VS Code extension: see vscode-extension/.

- GitHub Action: uses: KevinRabun/judges@main (see CI quickstart).


Quickstart

CLI (one-off)
# Using the CLI package (recommended)

npx @kevinrabun/judges-cli eval --file src/app.ts

Show GA commands only (default)

npx @kevinrabun/judges-cli --help

Show experimental/roadmap commands

echo "JUDGES_SHOW_EXPERIMENTAL=1" >> $GITHUB_ENV npx @kevinrabun/judges-cli --help

License scan (supply-chain & license compliance)

npx @kevinrabun/judges-cli license-scan --dir .

CLI vs API: If you want to embed Judges in your app (MCP/API), install @kevinrabun/judges. For the command-line, use @kevinrabun/judges-cli (binary judges).

GitHub Action
name: Judges

on: [pull_request, push] jobs: judges: runs-on: ubuntu-latest steps:

  • uses: actions/checkout@v4
  • uses: KevinRabun/judges@main with: path: . diff-only: true # evaluate only changed lines in PRs (default true) fail-on-findings: true # fail on critical/high findings upload-sarif: true # upload SARIF to GitHub Code Scanning
Programmatic API (MCP server included)
npm install @kevinrabun/judges
import { evaluateCode } from "@kevinrabun/judges/api";

const verdict = evaluateCode("const password = 'ProdSecret';", "typescript"); console.log(verdict.overallVerdict, verdict.overallScore);

MCP server

The MCP server runs on stdio and is started by your MCP client (VS Code, Claude Desktop, etc.). Configure it in your MCP settings (e.g. mcp.json):

{

"servers": { "judges": { "type": "stdio", "command": "npx", "args": ["-y", "@kevinrabun/judges"] } } }

Or run the server directly:

npx @kevinrabun/judges

Starts the MCP server on stdio

Config file: .judgesrc.json (supports ${ENV_VAR} substitution via expandEnvPlaceholders). See Configuration.


Why Judges?

AI code generators (Copilot, Cursor, Claude, ChatGPT, etc.) write code fast — but they routinely produce insecure defaults, missing auth, hardcoded secrets, and poor error handling. Human reviewers catch some of this, but nobody reviews 45 dimensions consistently.

ESLint / BiomeSonarQubeSemgrep / CodeQLJudges
ScopeStyle + some bugsBugs + code smellsSecurity patterns45 domains: security, cost, compliance, a11y, API design, cloud, UX, …
AI-generated code focusNoNoPartialPurpose-built for AI output failure modes
SetupConfig per projectServer + scannerCloud or localOne command: npx @kevinrabun/judges-cli eval file.ts
Auto-fix patchesSomeNoNo200+ deterministic patches — instant, offline
Non-technical outputNoDashboardNoPlain-language findings with What/Why/Next
MCP nativeNoNoNoYes — works inside Copilot, Claude, Cursor
SARIF outputNoYesYesYes — upload to GitHub Code Scanning
CostFree$$$$Free/paidFree / MIT

Judges doesn't replace linters — it covers the dimensions linters don't: authentication strategy, data sovereignty, cost patterns, accessibility, framework-specific anti-patterns, and architectural issues across multiple files.


Quick Start

Prereqs: Node.js >=18 (>=20 recommended), npx available. The judges CLI binary ships with @kevinrabun/judges-cli (preferred) and also works via npx @kevinrabun/judges.

Packages:

- CLI: npm install -g @kevinrabun/judges-cli (or npx @kevinrabun/judges-cli ...)

- MCP/API: npm install @kevinrabun/judges

Use @kevinrabun/judges for the MCP server and programmatic API. Use @kevinrabun/judges-cli when you want the judges terminal command.

Try it now (no clone needed)
# Install the CLI globally

npm install -g @kevinrabun/judges-cli

Evaluate any file

judges eval src/app.ts

Pipe from stdin

cat api.py | judges eval --language python

Single judge

judges eval --judge cybersecurity server.ts

SARIF output for CI

judges eval --file app.ts --format sarif > results.sarif

HTML report with severity filters and dark/light theme

judges eval --file app.ts --format html > report.html

Fail CI on findings (exit code 1)

judges eval --fail-on-findings src/api.ts

Suppress known findings via baseline

judges eval --baseline baseline.json src/api.ts

Use a named preset

judges eval --preset security-only src/api.ts

Use a config file

judges eval --config .judgesrc.json src/api.ts

Set a minimum score threshold (exit 1 if below)

judges eval --min-score 80 src/api.ts

One-line summary for scripts

judges eval --summary src/api.ts

Agentic skills (orchestrated judge sets)

judges skill ai-code-review --file src/app.ts judges skill security-review --file src/api.ts --format json judges skill release-gate --file src/app.ts judges skills # list available skills

Full catalog: docs/skills.md

List all 45 judges

judges list

Additional CLI Commands
# Interactive project setup wizard

judges init

Preview auto-fix patches (dry run)

judges fix src/app.ts

Apply patches directly

judges fix src/app.ts --apply

License compliance scan (copyleft/unknown detection)

judges license-scan --format json --risk high

Watch mode — re-evaluate on file save

judges watch src/

Project-level report (local directory)

judges report . --format html --output report.html

Evaluate a unified diff (pipe from git diff)

git diff HEAD~1 | judges diff

Analyze dependencies for supply-chain risks

judges deps --path . --format json

Run GitHub App server (zero-config PR reviews)

judges app serve --port 4567

Run GitHub PR review (gh CLI required)

judges review --pr 123 --repo owner/name --diff-only

Auto-tune presets and configs

judges tune --dir . --apply

Create a baseline file to suppress known findings

judges baseline create --file src/api.ts -o baseline.json

Generate CI template files

judges ci-templates --provider github judges ci-templates --provider gitlab judges ci-templates --provider azure judges ci-templates --provider bitbucket

Generate per-judge rule documentation

judges docs judges docs --judge cybersecurity judges docs --output docs/

Install shell completions

judges completions bash # eval "$(judges completions bash)" judges completions zsh judges completions fish judges completions powershell

Install pre-commit hook

judges hook install

Uninstall pre-commit hook

judges hook uninstall

🔎 Tip: The CLI help now defaults to GA commands only. To see experimental/roadmap commands, run:

`bash

JUDGES_SHOW_EXPERIMENTAL=1 judges --help

`

GitHub App (self-hosted webhook)

Run a zero-config PR reviewer as a GitHub App:

# Run the webhook server locally

judges app serve --port 4567

Required env vars:

  • JUDGES_APP_ID – GitHub App ID
  • JUDGES_PRIVATE_KEY or JUDGES_PRIVATE_KEY_PATH – PEM private key
  • JUDGES_WEBHOOK_SECRET – signature verification secret

Optional:

  • JUDGES_MIN_SEVERITY (default: medium)
  • JUDGES_MAX_COMMENTS (default: 25)
  • JUDGES_TEST_DRY_RUN=1 to avoid live network calls during tests

For local testing, you can expose http://localhost:4567/webhook via ngrok http 4567 and configure the GitHub App webhook URL accordingly.

Use in GitHub Actions

Add Judges to your CI pipeline with zero configuration:

# .github/workflows/judges.yml

name: Judges Code Review on: [pull_request]

jobs: judges: runs-on: ubuntu-latest permissions: contents: read security-events: write # only if using upload-sarif steps:

  • uses: actions/checkout@v4
  • uses: KevinRabun/judges@main with: path: src/api.ts # file or directory format: text # text | json | sarif | markdown upload-sarif: true # upload to GitHub Code Scanning fail-on-findings: true # fail CI on critical/high findings

Outputs available for downstream steps: verdict, score, findings, critical, high, sarif-file.

Use with Docker (no Node.js required)
# Build the image

docker build -t judges .

Evaluate a local file

docker run --rm -v $(pwd):/code judges eval --file /code/app.ts

Pipe from stdin

cat api.py | docker run --rm -i judges eval --language python

List judges

docker run --rm judges list

Or use as an MCP server
1. Install and Build
git clone https://github.com/KevinRabun/judges.git

cd judges npm install npm run build

2. Try the Demo

Run the included demo to see all 45 judges evaluate a purposely flawed API server:

npm run demo

This evaluates examples/sample-vulnerable-api.ts — a file intentionally packed with security holes, performance anti-patterns, and code quality issues — and prints a full verdict with per-judge scores and findings.

The demo now also includes an App Builder Workflow (3-step) section. In a single run, you get both tribunal output and workflow output:

  • Release decision (Ship now / Ship with caution / Do not ship)
  • Plain-language summaries of top risks
  • Prioritized remediation tasks and AI-fixable P0/P1 items

Sample workflow output (truncated):

╔══════════════════════════════════════════════════════════════╗

║ App Builder Workflow Demo (3-Step) ║ ╚══════════════════════════════════════════════════════════════╝

Decision : Do not ship Verdict : FAIL (47/100) Risk Counts : Critical

只显示了开头部分;其余内容请在仓库中阅读

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