Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Skylos

by duriantacoversion 3.5.10i★ –iRuns on your computer
Registry nameio.github.duriantaco/skylos

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: SKYLOS_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: SKYLOS_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

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

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account duriantaco, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32620 servers in this category
  • Published to the registry more recently than 4% of the other 32620 servers in this category
  • Basic checks equal to or better than 100% of the other 32620 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Skylos safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: SKYLOS_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (3.5.10) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Intervals MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

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

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated 2 days ago
Install

Remote MCP server for intervals.icu run data and analysis

Runs on your computerUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

Ask PopNx