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

Skylos

作者:duriantaco版本 3.5.10i★ –i在你的电脑上运行
注册名称io.github.duriantaco/skylos

安装

概览

作者提供的说明(英文原文)

Dead code, security, secrets detection and code quality for Python, TypeScript, Go.

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: 其他
  • 你需要填写:SKYLOS_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 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": {
    "skylos": {
      "command": "uvx",
      "args": [
        "skylos"
      ],
      "env": {
        "SKYLOS_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add skylos --env SKYLOS_API_KEY=your-value -- uvx skylos

运行前请先填写空着的值。

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": {
    "skylos": {
      "command": "uvx",
      "args": [
        "skylos"
      ],
      "env": {
        "SKYLOS_API_KEY": "your-value"
      }
    }
  }
}

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": {
    "skylos": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "skylos"
      ],
      "env": {
        "SKYLOS_API_KEY": "your-value"
      }
    }
  }
}

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。

需要你填写的值

  • SKYLOS_API_KEY 机密 env
    Skylos API key for cloud features and MCP authentication

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 duriantaco 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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32623 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32623 个服务器的 4% 更新
  • 基础检查结果等于或优于此分类中其他 32623 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

Skylos 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?

你需要填写:SKYLOS_API_KEY

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(3.5.10)于8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 Python (uv)。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Draugr

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:★ 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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

Draugr

作者:draugr-dev

Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.

在你的电脑上运行今天更新
安装

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。

Skylos Code checks that show their work.

What Is Skylos?

Skylos is an open-source (Apache-2.0) CLI and pull-request gate for Python projects that runs without an account. skylos . finds dead code: unused functions, classes, imports and empty files. Add -a to check security bugs, hard-coded secrets, vulnerable dependencies, code quality and AI-code mistakes. Findings include source locations and supporting analysis; skylos done checks whether a branch, often a coding agent's, is ready to merge.

It is built for:

  • Teams merging pull requests from AI coding agents such as Claude Code, Codex and Cursor. skylos done runs your tests and flags deleted or skipped tests, loosened CI test steps, silenced lint or type checks, and test-only special cases.
  • Python maintainers who want framework-aware dead-code, security and secrets checks. Python has the deepest coverage; other languages are listed under Language Support.
pip install skylos

skylos . # find dead code skylos . -a # add security, secrets, quality, dependency and AI-code checks skylos done --base main # is this branch finished? runs your tests, compares with main

Working with a coding agent? Two commands:

skylos setup   # once per repo: connects Claude Code and Codex, writes the PR check, maps the code

skylos open # every day: diagram of your code, what changed in plain English, every check run

Your agent runs the checks itself. The tutorial walks through a real session: the agent describes the code, makes a change, gets blocked and fixes it from Skylos's fix brief.

Proof, including the misses: 10 Skylos-assisted dead-code cleanup PRs have been merged into the default branch in 9 open-source projects, including Black, NetworkX, Optuna, mitmproxy and pypdf. Real-World Results lists the 26 cleanup and quality-fix PRs in this ledger, including the ones that were closed, reverted or never reached the default branch. These are accepted cleanup PRs, not endorsements.

Website | Docs | Repo Map | Quick Start | GitHub Action | VS Code Extension | Real-World Results | Benchmarks | Roadmap | Contributing

English | Deutsch | 简体中文 | Translations

Skylos runs locally by default and can also gate pull requests in CI. Use it when you want one command to check a repo or pull request for:

  • dead code and unused files
  • security flaws and dangerous data flows
  • secrets and dependency CVEs
  • CI/CD and edge-device deployment misconfigurations
  • quality regressions such as complexity, duplicate branches, and deep nesting
  • common AI-generated code mistakes, including missing guards, fake helpers, invented package APIs, and impossible dependency versions
  • LLM app risks such as unsafe tool use and missing output validation

Skylos supports 12 languages: Python, TypeScript/JavaScript, Java, Go, PHP, Rust, Ruby, Dart, C#, C++, Kotlin and Shell. Python has the deepest coverage. TypeScript/JavaScript and Java also get dead-code, security and quality checks; PHP and Dart get dead-code and security checks (PHP security follows request data within a function or file into command and code execution, file inclusion, HTML output, SQL, SSRF, deserialization and file paths; Dart security covers command injection, path traversal and SSRF); Rust gets command-injection and path-traversal checks and experimental dead code (hidden below the default confidence threshold; --confidence 40 lists it). Go dead-code and security checks need the native skylos-go engine: from 4.50 the PyPI wheels for Linux, macOS and Windows (x86_64 and arm64) include it, the container image includes it and the GitHub Action builds it. On other platforms skylos doctor prints the command that builds it from source, and SKYLOS_GO_BIN points Skylos at a separately built engine. C# support is partial, Kotlin dead code covers only private declarations and imports (Kotlin security covers Spring, Ktor, servlet and Android WebView basics), C++ is limited to unused file-local functions, and Shell gets security checks only. Ruby adds bounded private-method liveness, literal Rails controller callbacks and explicit Kernel command checks. Skylos also checks CI/CD, deployment config and two Terraform/AWS declaration policies. See Language Support.

Read The Results

Remember Risk, Maintainability, Dead code, Gate:

ReadoutWhat it tells you
RiskHighest unresolved severity and counts. One critical finding stays critical, regardless of repository size.
MaintainabilityAdvice counts, affected code units, and how far measurements exceed their limits.
Dead codeRemoval candidates with confidence and evidence; review dynamic calls and public APIs before deleting.
GateWhether findings satisfy your configured limits. Passing means within policy, not zero findings.

Finding Type is separate from severity: Defect is a concrete correctness pattern, Review needs context, and Advice concerns maintainability or tooling. A Review finding can still be critical. Advice stays visible in rule groups; --expand-advice shows every location and JSON keeps complete records. Grouping cannot improve the assessment or bypass a gate.

Security findings show recorded source-to-sink evidence when available, with partial static analysis labeled. Dependency coverage names unresolved versions and the supported inputs needed to check them. Neither view claims runtime exploitability or a complete installed environment; JSON keeps the full evidence.

For uv.lock, Cargo.lock, composer.lock, Gemfile.lock and pubspec.lock, valid Git, URL, path and private-registry dependencies are shown as not checked. Skylos still queries supported public packages; the coverage gap alone does not cause exit 2. It cannot establish a clean dependency assessment. See uv source coverage.

New source scans replace the blended A–F grade with these readouts. Disabled checks are not assessed; failed checks are incomplete. Maintainability percentages use only the relevant units actually measured, with no guessed denominators or uncalibrated grades. The independent debt and defend scores keep their meanings. See the output guide.

Choose the Right Command

Each command answers a different question. The source scan requires PATH. Bracketed paths on verify, suite, defend, and clean default to the current directory. suite and defend require a directory; verify and clean also accept a file.

QuestionCommandInput checked
What problems are in this source tree?skylos PATHSource files and project configuration; dead code by default, every main source analyzer with -a
How is this branch doing on Skylos Cloud?skylos cloud [PATH]Every main source analyzer, then the findings are uploaded and the branch's quality gate is printed with one link
Did the agent really finish this branch?skylos done --base mainThe branch's changes since its merge base with main: Skylos runs your tests (pytest automatically; other runners need test_command in [tool.skylos.done]) and compares the tests, test settings and CI steps with the base; writes a receipt to .skylos/receipts/
What does this change touch, and what should I read first?skylos done map --base mainEach changed Python or TypeScript/JavaScript function since the merge base, with old and new code, calls added and removed, its callers and removed security checks, sorted into read first, read, skim and skip (skip only when the logic is proven the same); computed from the code, so the same commit gives the same map
Does this code contain AI-code mistakes?skylos verify [PATH]AI-defect checks over the selected file or tree, plus a separate Git HEAD behavior comparison for supported Python working changes
Should a model review static dead-code findings?skylos agent verify [PATH]LLM by default; optional Jev-only or Jev-plus-LLM review
What do I tell my CTO?skylos report [PATH]Every main source analyzer locally, then one self-contained HTML page (or --format md): verdict, top five risks with fixes, issue counts, coverage gaps, scan date, commit and version
What does the combined repo suite report?skylos suite [DIRECTORY]Static analysis, technical debt, AI app safety, and provenance; local findings are report-only by default
Does an agent implementation have deployment guardrails?skylos defend [DIRECTORY]Recognized Python and TypeScript/JavaScript LLM integrations; gating requires a threshold flag or policy
Which Python dead code can Skylos remove?skylos clean [PATH] --dry-runPython import/function cleanup candidates; --dry-run never writes
Will this exact local GPU build fit the machines we ship to?skylos preflight [ARTIFACT]A local built file or directory and .skylos/gpu-targets.yml; an OCI reference is identity-only and returns UNKNOWN in the CLI
What vulnerabilities are in this container image?skylos image scan IMAGE@sha256: --platform os/archA remote registry image scanned by a separately installed Trivy; --fail-on turns findings into a gate

Run skylos --help for this chooser, skylos --help for one command, and skylos commands for the command-family map.

The report commands have different gate and network behavior:

  • image scan requires Trivy on trusted PATH and uses Trivy's remote image source, so registry network access and any required registry credentials must already be available. Without --fail-on, a completed scan exits 0 even when it reports vulnerabilities.
  • suite runs in the local process and does not upload unless --upload is set, but its dependency scan can query OSV. Findings are report-only: the command exits 0 regardless of their count. Operational and output failures are nonzero; --upload can also fail for an upload error or Cloud quality gate.
  • defend reports guardrail findings by default. It becomes a gate with --fail-on, --min-score, or gate settings in an explicit policy.
  • clean without --dry-run or --apply is interactive and can write after the final confirmation. Its current codemods support Python imports and functions. An apply pass still exits 0 if an individual edit prints a failure, so review the completion output.
  • done exits 0 on pass, 1 when a blocking check fails or does not finish, and 2 when Skylos could not run (for example, the base is not fetched). It reads its settings from the base commit, so a

只显示了开头部分;其余内容请在仓库中阅读

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