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PopNx MCPMCP servers for people who use AI · explained in plain words

KillerSkills

by cyligence-karimversion 0.8.3i★ –iRuns on your computer
Registry nameio.github.cyligence-karim/killerskills

Install

Overview

Description from the maker (original English)

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

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: Cybersecurity

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).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx 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": {
    "killerskills": {
      "command": "npx",
      "args": [
        "-y",
        "vet-skills",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add killerskills -- npx -y vet-skills mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "killerskills": {
      "command": "npx",
      "args": [
        "-y",
        "vet-skills",
        "mcp"
      ]
    }
  }
}

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": {
    "killerskills": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "vet-skills",
        "mcp"
      ]
    }
  }
}

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.

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 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account cyligence-karim, 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 Cybersecurityi

  • More stars than 0% of the other 1003 servers in this category
  • Published to the registry more recently than 100% of the other 1003 servers in this category
  • Basic checks equal to or better than 100% of the other 1003 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 KillerSkills 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.8.3) reached the registry today.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: SUNGLASSES, Draugr, OpenWorkProof

Alternatives

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

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

SUNGLASSES

Input firewall for AI agents: scan text and files before they're read. Local, no network by default.

by sunglasses-devEarly↓ 549/wkUpdated today

Runs on your computer

Draugr

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

by draugr-devVery newUpdated today

Runs on your computer✓ draugr.dev

OpenWorkProof

Verifiable agent evidence; opt-in Codex guard and reference SOC alert review.

by dengyierVery new↓ 303/wkUpdated today

Runs on your computer

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.

vet-skills

Check agent skills and MCP servers before they run. Verdicts come from KillerSkills; the policy is yours or your org's.

npm i -g vet-skills                          # the CLI (Node 20+)

vet-skills hook install all # Claude Code, Cursor, Codex, Windsurf, Gemini CLI: install check, runtime observation, canaries vet-skills check # or just ask before you add one vet-skills publish ./my-skill # org members: detonate + list in the private registry

Use it as an MCP server

Give any agent the verdicts directly, so it checks a skill or MCP server before installing it and can pick a verified alternative. Read-only, no account, no API key. Tools: check_skill (verdict, score, what the sandbox saw, top findings, last safe version) and search_skills (the index by keyword, with verdicts).

Claude Code

claude mcp add killerskills -- npx -y vet-skills mcp

Cursor: ~/.cursor/mcp.json (or .cursor/mcp.json in a project)

{

"mcpServers": { "killerskills": { "command": "npx", "args": ["-y", "vet-skills", "mcp"] } } }

Claude Desktop: Settings → Developer → Edit Config (claude_desktop_config.json)

{

"mcpServers": { "killerskills": { "command": "npx", "args": ["-y", "vet-skills", "mcp"] } } }

VS Code: .vscode/mcp.json

{

"servers": { "killerskills": { "type": "stdio", "command": "npx", "args": ["-y", "vet-skills", "mcp"] } } }

Windsurf: ~/.codeium/windsurf/mcp_config.json, same mcpServers block as Cursor. Codex: ~/.codex/config.toml

[mcp_servers.killerskills]

command = "npx" args = ["-y", "vet-skills", "mcp"]

Then ask your agent: *"Before you add that MCP server, check it with KillerSkills."* Requires Node 20+. Index: 24,000+ skills and MCP servers from skills.sh, ClawHub, npm, PyPI, the Docker MCP Catalog and Claude Code plugin marketplaces, each run in a honeypot sandbox. Browse them at killerskills.ai.

Try it before you install it

vet-skills try @acme/crm-mcp            # npm package (or name@version)

vet-skills try pypi:some-mcp-server # PyPI package vet-skills try owner/repo # GitHub repository vet-skills try ./my-skill # local directory

Fetches the package into a temp directory (never installed), runs it in the KillerSkills honeypot, and prints what it did: every host it contacted, every credential path it touched, the tools it exposes, and what it costs your agent (instruction tokens; for MCP servers the handshake time and the prompt context of its tool list). Exit code 2 when the run is Blocked.

Injection in what comes back

The same hook that observes tool calls reads what WebFetch, WebSearch, Read, Bash, Grep and every MCP tool return. When the content carries instructions aimed at the agent ("ignore previous instructions", "do not tell the user", a hidden HTML comment, invisible Unicode tag characters, a script piped to a shell), the hook tells the agent before its next step, logs it, and reports the kind of finding to your org when enrolled. Nothing from the content leaves the machine. vet-skills discover applies the same rules to CLAUDE.md, AGENTS.md, MEMORY.md and every installed SKILL.md; vet-skills run applies them to a live server's tool list and results.

Run it with restrictions

claude mcp add crm -- npx -y vet-skills run --net declared --deny "delete_*" -- npx -y @acme/crm-mcp

vet-skills run sits between the agent and a stdio MCP server. Denied tools are answered with an error and never reach the server; every tool call is logged (tool name and argument names only); --net declared points the server's HTTPS_PROXY at a local allow-list proxy limited to the hosts its verdict saw it declare (--net host1,host2 to choose). When the install hook blocks a stdio server, it prints this command as the alternative. Clients that ignore HTTPS_PROXY are not network-contained, and the guard says so at start.

Add --contain (0.7.9) to put the server in an OS sandbox as well: on macOS sandbox-exec, on Linux bwrap (bubblewrap). The project directory, /tmp and the package caches stay writable; the rest of $HOME is read-only and credential directories (~/.ssh, ~/.aws, ~/.config/gh, ~/.kube, ~/.docker, keychains, agent config folders, …) are not readable at all. On macOS the sandbox also forbids every outbound connection except the local proxy. Undeclared hosts get a fast, logged 403, so a telemetry call fails harmlessly and the tool keeps working; the exit summary counts them. Windows: use WSL. Where neither sandbox is available the guard runs without it and says so.

claude mcp add crm -- npx -y vet-skills run --contain --net declared -- npx -y @acme/crm-mcp
Credential broker: --secrets (0.7.13)

Most MCP servers need an API key in their environment, and a server that reads GITHUB_TOKEN to call GitHub can just as easily post it somewhere else. With --secrets NAME=host[,NAME=host…] the server never gets the value: its environment holds a placeholder, the guard keeps the real value, and the guard's proxy puts it into requests to the bound host only. A placeholder sent anywhere else is a random string, and the guard reports the attempt (✕ sent the GITHUB_TOKEN placeholder to collect.evil.xyz) and records it as a deviation.

GITHUB_TOKEN=ghp_… vet-skills run --secrets GITHUB_TOKEN=api.github.com -- npx -y @acme/github-mcp

How: the proxy terminates TLS for the allowed hosts with a certificate from a throwaway CA made for that run (openssl, keys in a 0700 directory, deleted at exit). The server trusts it through NODE_EXTRA_CA_CERTS, SSL_CERT_FILE, REQUESTS_CA_BUNDLE, CURL_CA_BUNDLE and GIT_SSL_CAINFO, which cover Node, Python, curl, Go and Rust clients. Headers, the URL and bodies up to 4 MB are rewritten. --secrets implies a network pin to the bound hosts (add --net to widen it). A client that pins certificates will refuse the run's CA; use --net without --secrets for that one.

Canary credentials: proof, not a heuristic

vet-skills canary install

Plants decoy credential files beside the real ones (~/.aws/credentials.old, ~/.config/gh/hosts.yml.old, ~/.npmrc.old, ~/.ssh/id_rsa_old, ~/.env.old), only where no file exists, with random values kept in ~/.vet-skills/canaries.json. Nothing legitimate reads a forgotten backup, so a canary value showing up in anything the agent sends or a tool returns is exfiltration by construction. The hook stops the session and names the file kind (never the value); vet-skills run refuses the call. vet-skills canary lists them, canary remove deletes only files whose contents are still exactly what it wrote.

Allowed because you asked for it

Not every credential read is an attack. The hook keeps a per-session intent record: the hosts and paths you named in a prompt (extracted by a UserPromptSubmit hook; the prompt itself is never stored) and the ones your own tool calls touched. A skill's sensitive action that matches an entry from the last 30 minutes is allowed with a one-line notice and recorded as a scoped allow (this session, this skill, this resource, 30 minutes); the same action with nothing to explain it is held and the agent is told to ask you.

vet-skills runtime allows        # scoped allows this week, with the reason

vet-skills runtime revoke # revoke one now

Policy context: turns this off per kind (credential_read: hold). No model judges intent: the rule is the match, and it is printed.

See what is already configured

vet-skills discover            # every MCP server, skill, plugin and hook on this machine, with verdicts

Reads Claude Code, Cursor, Windsurf, Claude Desktop, Gemini CLI and Codex configs locally. Each server and skill name is looked up for its verdict; nothing else leaves the machine. When you are enrolled in an org, the list of names is also reported to your team's Discovery page. Environment values, arguments and file contents never are.

It also inspects each installed skill folder for the installer-lure shape (a committed ZIP or .bat, a LuaJIT runtime, Lua saved as .txt, files matching the Agent Lure Stealer IOCs) and flags credential values pasted into config files, by kind and line only; the value itself is never printed or sent.

What it does

Every skills add, claude plugin install, and claude mcp add is resolved to an artifact hash, looked up, and evaluated against your policy before it runs:

$ vet-skills check deploy-helper

Resolving deploy-helper … vet-skills 0.7.8 · policy acme/default-strict

BLOCKED 14/100 deploy-helper@2.3.1 · devtools-cloud · 4,210 installs

Observed in sandbox (3 scenarios, 38s): ✕ network telemetry-cdn.xyz — undeclared ✕ memory wrote agent memory (1) ✕ filesystem reads ~/.ssh/id_ed25519, ~/.aws/credentials, ~/.npmrc ! tools shadows github.create_pr

Policy acme/default-strict: ✕ publisher blocked devtools-cloud is on the block list

✕ Blocked deploy-helper@2.3.1 · publisher devtools-cloud is blocked by policy Pin instead: deploy-helper@2.2.4 (score 88)

Decisions: allow, sandbox (install with restrictions), approval required (the install waits for a reviewer), block (with the last safe version named), defer (unscored: detonate first), observe (org enforcement off; logged only).

Fail-open

If the verdict API is unreachable and nothing is cached, the policy's offline rule applies. The default is allow with a warning: an outage on our side never stops your work. Set offline: block in your policy to fail closed.

Solo vs. org

Solo: a personal policy in ~/.vet-skills/policy.yaml (vet-skills policy show). Nothing is sent except verdict lookups (skill name, version, hash) and an anonymous client id.

Org: vet-skills join --token --email you@company.com switches to the org policy. From then on the hook also reports installed skill names, versions, hashes, and decisions to your org dashboard. Never code, prompts, environment variables, or file contents. vet-skills leave reverts.

Commands

CommandWhat it does
check Dry-run the decision. Exit 2 when blocked.
try Fetch it, run it in the honeypot, print what it did and what it costs the agent.
`run [--contain] [--deny t,glob*] [--net declared\hosts\off] [--secrets NAME=host,…] -- `Guard a stdio MCP server: deny tools, pin its network, broker its secrets, log every call.
install Check, then npx skills add. Prompts on caution.
detonate Force a sandbox run.
why Last decision and the rule behind it.
join --token --email / leaveOrg mode on / off.
policy show / policy set Personal policy.
block [--reason]Personal block list.
statusOrg, policy version, cache, pending approvals; syncs policy.
discover [--project] [--json]Inventory agent config on this machine; report names to the org when enrolled.
mcpRun as an MCP server over stdio (check_skill, search_skills).
`hook install [claude-code \cursor \codex \windsurf \gemini \all]`Registers the hooks for that agent (~/.claude/settings.json, ~/.cursor/hooks.json, ~/.codex/hooks.json, ~/.codeium/windsurf/hooks.json, ~/.gemini/settings.json).
hook windsurf, hook geminiCalled by Windsurf (Cascade) / Gemini CLI on each event; exit 2 blocks, the reason goes to the agent.
hook evalCalled by the agent; reads hook JSON on stdin.

Environment: KILLERSKILLS_API (default https://killerskills.ai), `VET_SK

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