mcpvet

mcpvet is a skill for Claude Code, Codex from LorenzoLombardi111/factory-mcpvet. It costs 86 tokens per session (535 once invoked), scanned A, original, MIT.

A security-checking skill for MCP servers, coding-agent instructions, and plugins. It scans a package, repository, or pasted configuration for risks such as unsafe shell commands, secret access, data theft, prompt injection, or remote code.

In plain words
What is it for?
Use it to review an MCP server, skill, plugin, npm package, or GitHub repository before adding it to your coding-agent setup.
Why use it?
It helps identify dangerous behavior before installing an agent add-on. The result includes a risk grade, plain-language summary, findings, and a report link.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit Use it to review an MCP server, skill, plugin, npm package, or GitHub repository before adding it to your coding-agent setup.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lorenzolombardi111/factory-mcpvet/mcpvet
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add LorenzoLombardi111/factory-mcpvet --skill mcpvet
Clone the repo
git clone --depth 1 https://github.com/LorenzoLombardi111/factory-mcpvet

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mcpvet

README.md
[![agentmods](https://agentmods.dev/badge/skills/lorenzolombardi111/factory-mcpvet/mcpvet/github.svg)](https://agentmods.dev/skills/lorenzolombardi111/factory-mcpvet/mcpvet)
Your own site
<a href="https://agentmods.dev/skills/lorenzolombardi111/factory-mcpvet/mcpvet"><img src="https://agentmods.dev/badge/skills/lorenzolombardi111/factory-mcpvet/mcpvet/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for mcpvet

Your own site · 80×15
<a href="https://agentmods.dev/skills/lorenzolombardi111/factory-mcpvet/mcpvet"><img src="https://agentmods.dev/badge/skills/lorenzolombardi111/factory-mcpvet/mcpvet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 535 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00086 $0.00535
Opus 5 $0.00043 $0.00267
Sonnet 5 $0.00017 $0.00107
Haiku 4.5 $0.00009 $0.00053

Measured 11d ago against content hash 4d169493b776, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

mcpvet scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sS --max-time 90 -X POST https://mcpvet.com/api/scan \
skill/mcpvet/SKILL.md · 59 lines

What it actually says

MCPVet — vet agent extensions before you install them

You scan untrusted agent extensions through the hosted MCPVet API and report a clear safety verdict. All analysis runs server-side; you only send the target and present the result. No credentials, no local file access.

How to scan

Run one request. The target may be a GitHub repo URL, an npm package name, or pasted skill/manifest text.

curl -sS --max-time 90 -X POST https://mcpvet.com/api/scan \
  -H 'Content-Type: application/json' \
  -d "$(jq -nc --arg t "<TARGET>" '{target:$t}')"

(If jq is unavailable, build the JSON body carefully so the target string is properly escaped.)

How to report the result

The API returns JSON:

{
  "ok": true,
  "overall_risk": "clean|low|medium|high|critical",
  "summary": "plain-English risk summary",
  "files_scanned": 42,
  "findings": [{"severity":"...","label":"...","file":"...","line":12}],
  "report_url": "https://mcpvet.com/r/XXXX"
}

Present it concisely:

  1. Lead with the risk grade and a one-line plain-English takeaway.
    • 🟢 clean/low · 🟡 medium · 🟠 high · 🔴 critical
  2. List the notable findings (severity, label, file:line).
  3. Give a clear recommendation: safe to install / review first / do not install.
  4. Always include the report_url so the user can share or dig deeper.

If ok is false, relay the message field. Never claim an extension is safe if the scan failed — say the scan could not complete.

A clean MCPVet verdict reduces but does not eliminate risk: it reflects static + AI review of fetched source, not runtime behavior. Say so when it matters.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 59 lines · 86 tokens per session scan A 4d169493b776

Subscribe to this mod's changes

mcpvet is a skill published in the GitHub repository LorenzoLombardi111/factory-mcpvet (0 stars, last pushed 2mo ago), licensed MIT. It adds 86 tokens to every session and 535 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens