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Unchore Defend

by smileminoversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.smilemino/unchore-defend

Install

Overview

Description from the maker (original English)

Grade a site's security headers with fixes and a badge; read logs or code for the defender.

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: Developer tools
  • You need to fill in: OPENROUTER_API_KEY, UNCHORE_TOKEN

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: OPENROUTER_API_KEY, UNCHORE_TOKEN

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

Which app do you use?

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

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

Fill in the empty values before running it.

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.

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

  • OPENROUTER_API_KEY secret env
    Your OpenRouter key, for defend_analyze (optional)
  • UNCHORE_TOKEN secret env
    An Unchore key instead of an AI account, for defend_analyze (optional)

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account smilemino, 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 Developer toolsi

  • More stars than 0% of the other 4934 servers in this category
  • Published to the registry more recently than 53% of the other 4934 servers in this category
  • Basic checks equal to or better than 100% of the other 4934 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 Unchore Defend 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: OPENROUTER_API_KEY, UNCHORE_TOKEN

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 (0.1.0) reached the registry 39 days ago.

Which apps can use it?

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

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

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

GitHub

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

by githubWidely used★ 34.2KUpdated 5 days ago

Computer or cloud

Desktop Commander

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Cloudflare MCP

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Runs in the cloud✓ mcp.cloudflare.com

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.

Unchore Defend

Security help for the person protecting the system. Two tools, no install, works in Claude Code, Claude Desktop, any MCP client, or a plain terminal.

English · 한국어

Part of [Unchore](https://github.com/smilemino/unchore-ai) — the open-source personal AI that offers to automate what you ask twice.

July 2026: OpenAI's test agents broke out of their sandbox and got into Hugging Face's production systems — about 17,600 attacker actions across 11 nodes over roughly 4.5 days. Last week Australia said OpenAI agents had also got into its Medicare statistics portal.

When Hugging Face's responders asked commercial frontier models to help read the attack, the requests were *"blocked by the providers' safety guardrails, which cannot distinguish an incident responder from an attacker."* They finished the forensics on an open-weight model (GLM-5.2).

Sources: disclosure · technical timeline · OpenAI's statement (NPR) · Australia (ABC)

We re-ran the published attack artifacts. A major US model's content filter blocked 11 of 14 requests. Defend still got an answer to all 14 — results and a one-command rerun.

Defend makes that switch for you: it asks Claude, then GPT, then GLM, then DeepSeek, and moves on only when one refuses.

ToolWhat you getNeeds
site checkYour site's security headers graded A–F, the one-line fix for each gap, and a README badgeNothing — no account, no key
defendPaste a log, code, config or a suspicious message → what happened, how bad it is, what to fix firstAn OpenRouter key *or* an Unchore key
$ node skills/site-check/scripts/site-check.mjs example.com

https://example.com/ → F (37/100) · HTTP 200

✓ Served over HTTPS ✗ HSTS (browsers stay on HTTPS) (−15) — fix: Add Strict-Transport-Security: max-age=31536000; includeSubDomains. ✗ Content-Security-Policy set (−15) — fix: Add a Content-Security-Policy; start with default-src 'self' … …

Install

Claude Code (skills + MCP tools):

/plugin marketplace add smilemino/unchore-defend

/plugin install unchore-defend@unchore

Then just ask: *"check the security headers of mysite.com and fix what you can"* or *"read access.log — were we attacked?"*

Only want the site check? /plugin install unchore-site-check@unchore installs just that (no key, no AI calls).

The site check needs no key. For defend, Claude Code asks for an OpenRouter or Unchore key when you enable the plugin (later: /plugin configure unchore-defend@unchore); it is kept in your system's secure storage.

Claude Desktop: download unchore-defend.mcpb from Releases and open it.

Any MCP client (Cursor, VS Code, Windsurf, …) — clone this repo, then add:

{

"mcpServers": { "unchore-defend": { "command": "node", "args": ["/path/to/unchore-defend/mcp/server.mjs"], "env": { "OPENROUTER_API_KEY": "sk-or-…" } } } }

Terminal only: Node 22+, nothing to install.

node skills/site-check/scripts/site-check.mjs mysite.com

node skills/unchore-defend/scripts/defend.mjs "Who got in, and what did they take?" --file access.log tail -n 500 access.log | node skills/unchore-defend/scripts/defend.mjs "Is this an attack?"

Site check

Nine checks, weighted: HTTPS (25), HSTS (15), Content-Security-Policy (15), clickjacking protection (10), nosniff (10), Referrer-Policy (8), Permissions-Policy (5), cookie flags (7), server version hidden (5). A ≥ 90 · B ≥ 75 · C ≥ 60 · D ≥ 40.

It sends one ordinary GET to the site and nothing anywhere else. Private, local and cloud-metadata addresses are refused, every redirect is checked again, and it stops after 3 redirects, 8 seconds or 200 KB.

Put the grade in your README — the output gives you the line:

-green)

The badge says what was measured: response headers. It is not a full security audit.

Rather click than type? The same check runs at unchore.ai/tools/site-check.

Defend

For "we were hit — what happened?", "is this log an attack?", "what did this script do?".

  • Masked before sending: phone numbers, ID/card/account numbers, e-mails, API keys, tokens and private keys. IP addresses, paths and timestamps stay — they are the evidence.
  • If one AI refuses, the next answers. Some safety filters refuse even defenders. Defend asks Claude first, then GPT, GLM and DeepSeek — only when the one before refused. GLM and DeepSeek run on US hosts, and every request asks OpenRouter to route only to providers that don't collect data (data_collection: deny).
  • Defensive use only. It explains an attack as far as needed to detect and stop it. The AIs are told not to write exploits or malware.

Pay for the AI one of two ways:

  • OPENROUTER_API_KEY — your own key; requests go straight from your machine to OpenRouter.
  • UNCHORE_TOKEN — no AI account needed. Sign in at unchore.ai → Settings → AI → Unchore credit → *New key*.

--chain glm,deepseek sets the order, --own forces your OpenRouter key, --json prints machine-readable output.

Tested on real traffic

640 lines of our own production web logs (7 days, IP addresses removed): 69 real attack lines (WordPress admin probes, .git/.env fishing, scanner bots) and 571 normal lines.

AIAttacks caughtFalse alarmsRefusals
Claude69 / 6900
GPT69 / 6900
DeepSeek69 / 69100
GLM69 / 69140

No AI refused plain log triage. Claude and GPT were the most precise, so they go first. Refusals show up on harder work — the attack code itself:

Tested on the Hugging Face attack code

The 7 tasks of the defenders-dilemma study are the published artifacts of the July intrusion: a template-injection payload, the command-and-control agent, its custom encryption, the Kubernetes escalation, the Tailscale pivot, human-vs-AI attribution and a review of the investigation. Each was asked two ways — plainly, and as "an authorized incident response team" — so 14 requests per model (2026-10-01).

Asked plainly, one model at a timeAnsweredBlocked by content filterOut of room / timeout
Claude Opus 5.53 / 14110
GPT-6 Astra14 / 1400
GLM 5.311 / 1403
DeepSeek V4.1 Flash9 / 1405
Defend (its defender prompt, then the chain)14 / 14 — Claude answered 4, GPT the other 10——

What that looks like on one of the tasks (a real run, first lines):

$ node skills/unchore-defend/scripts/defend.mjs "This was in a dataset config file on our server during the break-in. What does it do?" --file payload.txt --own

[answered by gpt · 0 item(s) masked · your OpenRouter key $0.085]

  • claude: refused (content filter) → next

──────────────────────────────────────── This is an attempt to execute attacker-controlled Python code when the dataset configuration is rendered …

  • The blocks come from the provider's filter before the model writes a word (finish_reason: content_filter) — see Anthropic's note on real-time cyber safeguards. Saying "we are the authorized incident response team" did not help; in our first run it made Claude block a request it had just answered plainly.
  • GLM and DeepSeek never refused; their misses were thinking models running out of room. Defend now gives them 16k tokens.
  • Accuracy against the study's answer keys, scored by two different graders (GPT-6 Astra / GLM 5.3): GPT 91% / 96%, DeepSeek 92% / 95%, GLM 88% / 89%, Claude 100% on the 3 it answered.
  • If you use Claude directly for security work, Anthropic's Cyber Verification Program is free to apply for and lifts the default blocks on dual-use defensive work.

Rerun it (about $3, 10 minutes; tasks are downloaded from the study at a pinned commit):

OPENROUTER_API_KEY=sk-or-... node bench/hf-intrusion/run.mjs

Our raw results: bench/hf-intrusion/results. Credit to the defenders-dilemma authors, who measured this first.

Why this exists

Unchore is a personal AI that notices when you ask for the same thing twice and offers to do it for you from then on. These two tools are pieces of it that also work on their own.

Contributing

Issues and pull requests are welcome. Run node --test test/*.test.mjs before sending. Security problems: see SECURITY.md. What is sent where: PRIVACY.md.

MIT © 2026 Unchore

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