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Pkgtruth

by hxckyaversion 0.2.2i★ –iRuns on your computer
Registry nameio.github.hxckya/pkgtruth

Install

Overview

Description from the maker (original English)

Catches hallucinated and slopsquatted npm and PyPI packages before an agent installs 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: Other

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: PKGTRUTH_REGISTRY, PKGTRUTH_DOWNLOADS_API, PKGTRUTH_CACHE_DIR, PKGTRUTH_TIMEOUT_MS

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": {
    "pkgtruth": {
      "command": "npx",
      "args": [
        "-y",
        "pkgtruth"
      ],
      "env": {
        "PKGTRUTH_REGISTRY": "your-value",
        "PKGTRUTH_DOWNLOADS_API": "your-value",
        "PKGTRUTH_CACHE_DIR": "your-value",
        "PKGTRUTH_TIMEOUT_MS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add pkgtruth --env PKGTRUTH_REGISTRY=your-value --env PKGTRUTH_DOWNLOADS_API=your-value --env PKGTRUTH_CACHE_DIR=your-value --env PKGTRUTH_TIMEOUT_MS=your-value -- npx -y pkgtruth

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": {
    "pkgtruth": {
      "command": "npx",
      "args": [
        "-y",
        "pkgtruth"
      ],
      "env": {
        "PKGTRUTH_REGISTRY": "your-value",
        "PKGTRUTH_DOWNLOADS_API": "your-value",
        "PKGTRUTH_CACHE_DIR": "your-value",
        "PKGTRUTH_TIMEOUT_MS": "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": {
    "pkgtruth": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "pkgtruth"
      ],
      "env": {
        "PKGTRUTH_REGISTRY": "your-value",
        "PKGTRUTH_DOWNLOADS_API": "your-value",
        "PKGTRUTH_CACHE_DIR": "your-value",
        "PKGTRUTH_TIMEOUT_MS": "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

  • PKGTRUTH_REGISTRY env
    Alternate npm registry to verify against. Defaults to https://registry.npmjs.org.
  • PKGTRUTH_DOWNLOADS_API env
    Alternate downloads API used for adoption figures. Defaults to https://api.npmjs.org.
  • PKGTRUTH_CACHE_DIR env
    Where adoption figures are cached between runs. Defaults to ~/.cache/pkgtruth.
  • PKGTRUTH_TIMEOUT_MS env
    Per-request timeout in milliseconds. Defaults to 8000.

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 hxckya, 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 32537 servers in this category
  • Published to the registry more recently than 40% of the other 32537 servers in this category
  • Basic checks equal to or better than 100% of the other 32537 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 Pkgtruth 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 (0.2.2) 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 Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, TF Rooms

Alternatives

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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.

pkgtruth

Ground truth about npm and PyPI packages, for AI coding agents and CI.

Your agent just wrote npm install unused-imports. That package is not the linter plugin it meant. It is a name an attacker registered because models kept inventing it — and npm has since replaced it with a security placeholder.

pkgtruth catches that before it reaches your lockfile — as an MCP server the agent asks, a CLI for CI, a GitHub Action on pull requests, or a Claude Code hook that denies the install command itself.

Why this exists

Large language models invent package names. Measured across models, 19.7% of generated package names were hallucinated, and when researchers re-ran the prompts, 43% of those names came back every single time.

That reproducibility is the whole attack. An attacker does not need to compromise a maintainer, poison a build server, or find a vulnerability. They watch what models invent, register the name, and wait. The technique is called slopsquatting, and it is already happening in the wild.

The standing security advice is that agents with package-management capabilities should not install anything without a review gate. pkgtruth is that gate, in a form an agent can call on its own.

Found in the wild

Two names a model plausibly produces, both live on npm today:

NameWhat it isWeekly installsThe real one
types-node0.0.1-security — npm's placeholder after purging malware10@types/node (429M)
socket-ioDeprecated since 2022, "use the socket.io package instead"1,486socket.io (18M)

types-node is what you get when a model drops the scope from @types/node. npm removed it for malicious code in December 2024 and it is still installed ten times a week.

socket-io is not malicious — it is an abandoned package with a confusable name. That it takes 1,486 installs a week anyway is the point: a dot and a hyphen are enough.

PyPI has the same shape without the placeholder:

NameWhat it isWeekly installsThe real one
sklearnDeprecated shim — its own notice says "use scikit-learn instead"321,887scikit-learn (42.6M)
pytorchA decoy whose only content is "the package named for PyTorch is torch"41,026torch (14.4M)

Neither is spelled anything like the package it stands in for, which is why pkgtruth also reads what a deprecation notice *says*: when it names a far more popular package, that name is the evidence.

npx pkgtruth check types-node socket-io

npx pkgtruth check -e pypi sklearn pytorch

Those two came from a hand check of twenty names. The systematic version — 242 well-known packages, every plausible garbling of each, regenerated every Monday — lives in [SLOPSQUATS.md](SLOPSQUATS.md). Section A there is npm security placeholders alone: names npm purged for malware that are still being installed this week. Weeks in which names enter or leave the list are published as releases, so the releases feed is a way to follow the live list without watching the repository.

Install

As an MCP server (for coding agents)
{

"mcpServers": { "pkgtruth": { "command": "npx", "args": ["-y", "pkgtruth"] } } }

Three tools become available:

ToolUse it when
check_packageAbout to add, import, or recommend one dependency (`ecosystem: "npm" \"pypi"`, default npm)
check_dependenciesAbout to write a package.json / requirements.txt
check_install_commandAbout to run npm install …, npx …, pip install … — hand it the exact command
As a Claude Code hook (the install command itself is stopped)

An MCP tool only helps when the agent remembers to call it. A PreToolUse hook runs on every shell command instead, and denies npm install, npx, pnpm add, yarn add, bun add, pip install, uv add, poetry add and friends when a package they name is hallucinated or dangerous. Add this to ~/.claude/settings.json (every project) or .claude/settings.json (one repository, committable):

{

"hooks": { "PreToolUse": [ { "matcher": "Bash", "hooks": [{ "type": "command", "command": "npx -y pkgtruth hook" }] } ] } }

Commands that install nothing by name — a bare npm install, git, tests, npx of a tool already in node_modules — pass through with no network call. A blocked command comes back to the agent as a denial with the evidence, so it can pick the real package instead:

pkgtruth blocked this command: 1 of 2 package(s) must not be installed as-is.

✖ crossenv DANGER — npm replaced this package with a security placeholder (0.0.2-security). The name was used to publish malicious code. Package is 1 edit(s) from "cross-env", which has 22,155,059 weekly downloads (15,418x this one). Confirm you meant this package and not that one.

Add --fail-on caution to also stop packages that could not be verified. npm install -g pkgtruth with "command": "pkgtruth hook" skips the npx resolution on every call (measured: ~0.2 s per command via npx, ~0.03 s direct). The hook reads tool_input.command from Claude Code's JSON, or a bare command string from any other agent that pipes one in, and exits 2 with a permissionDecision: "deny" when it blocks — there is no environment variable that turns it off, because the agent controls the environment of the command it runs.

As a Claude Code plugin (server + hook in one install)
/plugin marketplace add hxckya/pkgtruth

/plugin install pkgtruth@pkgtruth

The plugin (plugin/) registers the MCP server and the hook above together, pinned to the npm release it ships with.

As a CLI (for humans and CI)
npx pkgtruth check express unused-imports          # npm (default)

npx pkgtruth check -e pypi requests sklearn # PyPI npx pkgtruth scan . # every manifest in the directory

scan reads package.json, requirements*.txt and pyproject.toml (PEP 621 and Poetry), checks each against its own registry, and exits non-zero when something is blocking, so it drops straight into CI.

As a pull-request gate (GitHub Action)

hxckya/pkgtruth-action (on the GitHub Marketplace) runs the scan on every pull request, posts one sticky comment with the evidence, and fails the check on HALLUCINATED or DANGER:

on:

pull_request: paths: ['package.json', '**/package.json'] permissions: contents: read pull-requests: write jobs: pkgtruth: runs-on: ubuntu-latest steps:

  • uses: actions/checkout@v5
  • uses: hxckya/pkgtruth-action@v1

This repository gates itself with it — see .github/workflows/gate.yml, which also proves the gate can fail by running it against a deliberately bad fixture.

What it checks

SignalMeaning
Not in registryThe name is fabricated. Nothing to install.
npm security placeholdernpm removed malicious code published under this name.
Impersonates a popular packageA near-identical name with a fraction of the adoption — or a deprecation notice that itself names the package you meant (sklearn → scikit-learn, pytorch → torch).
Yanked (PyPI)Every file of the latest release was yanked by its maintainer.
Install-time scriptspreinstall/install/postinstall run code on npm install.
DeprecatedUpstream says stop using it.
Very new / almost no adoptionDays old with single-digit installs.
No repositoryNo source to audit.
UnmaintainedNo release in years.

Verdicts are SAFE, CAUTION, DANGER, HALLUCINATED, or UNKNOWN. Every one arrives with the evidence behind it — an agent should never have to take "DANGER" on faith, and neither should you.

Design notes

Network failures never open the gate. If the registry is unreachable, the verdict is UNKNOWN, never SAFE. A degraded network must not silently turn a security check into a no-op.

Popular packages are not flagged — measured, not asserted. The false-positive audit runs the detector over the direct dependency closure of 240 well-known packages: 1,523 real packages, 0 blocking verdicts, 0 UNKNOWN after the built-in second pass, and 40 CAUTION (deprecated or unmaintained — true statements, not blocked by default). A gate that cries wolf gets switched off; this one has a number attached.

No build step. Two direct dependencies — the MCP SDK and zod, both only needed for the server. npx pkgtruth starts immediately.

Limitations

Read these before trusting it:

  • npm and PyPI only. crates.io, Go modules, RubyGems are not covered yet.
  • PyPI has no purge marker. npm leaves a -security placeholder where it removed malware; PyPI deletes the project, so a purged PyPI name simply reads as HALLUCINATED. PyPI also has no search API — near-twins are found against a daily snapshot of the top 15,000 projects by downloads, so an impostor of an obscure package will not be caught.
  • Registry metadata only. It does not analyze package source code, so a legitimate-looking package with a malicious payload can still pass.
  • Not a replacement for `npm audit` or Snyk. Those find known CVEs in code you already trust. pkgtruth asks the earlier question: should this package be here at all?
  • New legitimate packages will get `CAUTION`. That is deliberate. Newness genuinely is a risk signal; use --fail-on danger so it does not block.

Options

--json              Machine-readable output

--fail-on danger (default) | caution

--fail-on caution also blocks packages that could not be verified at all, since "we could not check" is not a pass.

Exit codes: 0 clean, 1 blocking packages found, 2 usage or runtime error.

Configuration

VariableDefaultPurpose
PKGTRUTH_TIMEOUT_MS8000Per-request timeout
PKGTRUTH_RETRIES3Retries for 429/5xx/network errors
PKGTRUTH_MAX_CONCURRENCYper-hostOverride request pacing
PKGTRUTH_REGISTRYnpmAlternate registry
PKGTRUTH_DOWNLOADS_APInpmAlternate downloads API
PKGTRUTH_PYPI / PKGTRUTH_PYPISTATSpypi.org / pypistats.orgAlternate PyPI endpoints
PKGTRUTH_PYPI_TOPhugovk top-pypi-packagesAlternate popularity snapshot for PyPI twins
PKGTRUTH_CACHE_DIR~/.cache/pkgtruthWhere adoption figures are cached
PKGTRUTH_DISK_TTL_MS6 hoursHow long a cached figure stays usable
PKGTRUTH_NO_DISK_CACHEunsetSet to 1 to disable the cache
On speed and rate limits

Adoption figures come from npm's downloads API, which throttles bursts and cannot batch scoped names — a project with several @scope/pkg dependencies would spend its whole budget on every scan.

Three things keep that in check: the bulk endpoint resolves all unscoped names in one request, requests to that host are paced serially, and figures are cached on disk for six hours. Weekly download counts move slowly, so a six-hour-old number is no less true.

A warm scan of ~18 dependencies takes about 1.4 second

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

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