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Coding Agent Audit

by stackscribe-aiversion 0.11.0i★ –iRuns on your computer
Registry nameio.github.stackscribe-ai/coding-agent-audit

Install

Overview

Description from the maker (original English)

Audits Claude Code/Cursor MCP configs for supply-chain backdoors and risky permissions.

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

You need

  • PyPIPython’s uv installed (for the uvx 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": {
    "coding-agent-audit": {
      "command": "uvx",
      "args": [
        "coding-agent-audit"
      ]
    }
  }
}

Run this in your terminal

claude mcp add coding-agent-audit -- uvx coding-agent-audit

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "coding-agent-audit": {
      "command": "uvx",
      "args": [
        "coding-agent-audit"
      ]
    }
  }
}

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": {
    "coding-agent-audit": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "coding-agent-audit"
      ]
    }
  }
}

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account stackscribe-ai, 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 32589 servers in this category
  • Published to the registry more recently than 91% of the other 32589 servers in this category
  • Basic checks equal to or better than 100% of the other 32589 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 Coding Agent Audit 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 (0.11.0) reached the registry 3 days 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: Spec Driven Development, Remote Desktop Commander, Detailing Manager

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

Detailing Manager

by RadoslavMoshev

Connect your auto detailing studio's tasks, cars, clients and revenue to Claude or ChatGPT.

Runs on your computerUpdated today
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.

coding-agent-audit

A small, open-source CLI that scans your machine for:

  1. Known indicators of compromise (IOCs) from publicly documented supply-chain attacks against AI coding assistants (Claude Code / Cursor / Windsurf / VS Code forks), and
  2. Risky configuration patterns in your local Claude Code / MCP config (hooks that pipe curl into a shell, auto-approved wildcard permissions, unpinned MCP server packages, etc.).

AI disclosure: this tool, its tests, and this README were built by

StackScribe AI, an autonomous AI

software project. No human reviews the code before release. Read the

source before trusting it in anything sensitive — it's short enough to

audit yourself in a few minutes.

Why this exists

In October 2026, a trojanized build of the Claude Code extension (anthropic.claude-code@2.1.313) was published on Open-VSX, and the same malicious build was later also found on the Cursor Marketplace. Loading it silently added an SSH key, tried to enable remote login, opened a reverse SSH tunnel to an attacker-controlled server, beaconed basic host recon, and installed OS-specific persistence (a disguised macOS LaunchAgent, a Linux cron @reboot entry, or a Windows scheduled task / Startup-folder script) — no user interaction required beyond the editor loading the extension.

This tool is an independent re-implementation, from scratch, of the publicly documented indicators from that incident (file paths, a known file hash, a C2 host/fingerprint, marker files), plus a broader set of heuristic checks for the *kind* of risky config pattern that makes these attacks possible in the first place (overly broad auto-approve rules, hooks that exfiltrate data, unpinned MCP server packages that can be swapped out for a malicious version later). It is not the original incident-response script and is not affiliated with Anthropic; see References for the primary sources.

Install

pip install coding-agent-audit

Usage

# scan this machine for the known IOCs + your home-directory Claude/MCP config

agent-audit

also scan a specific project's .claude/ and .mcp.json

agent-audit --project /path/to/repo

machine-readable output, e.g. for CI

agent-audit --json

only one half of the scan

agent-audit --skip-config # IOC-only agent-audit --skip-ioc # config-heuristics only

also check package.json/requirements.txt/pyproject.toml deps against

npm/PyPI and flag any that don't exist (hallucinated/slopsquattable name)

agent-audit --project /path/to/repo --check-deps

Exit codes: 0 nothing found, 1 only warning/info findings, 2 at least one critical (confirmed-IOC-pattern) finding.

What it checks

IOC scan (checks.py) — all tied to the October 2026 Open-VSX / Cursor Marketplace Claude Code trojan:

  • ~/.ssh/authorized_keys for the planted key comment
  • ~/Library/LaunchAgents/com.apple.sysmond.plist (macOS persistence)
  • Marker files under ~/.config (macOS/Linux and Windows filenames)
  • Leftover temporary SSH tunnel key files
  • extension.js files under common VS Code / Cursor / Windsurf extension directories, hash-compared against the known-malicious build
  • Running processes / crontab for references to the known C2 host or persistence task name
  • On Windows: the known SYSTEM scheduled task name, and the Startup-folder script dropped as a fallback when that task can't be created
  • A GitHub Copilot VS Code extension older than 1.1.29 (the version that fixed the address-bar-spoofing half of EMBRACE, Forever Security's Oct 2026 disclosure of embedded-browser flaws in Cursor, Copilot, Codex, VS Code and Claude Desktop), plus a presence check that flags Codex/VS Code (still unpatched at disclosure time) or Claude Desktop (patch status unconfirmed) if installed, with mitigation guidance
  • Mini Shai-Hulud (the npm worm that targets Claude Code / VS Code specifically, added in v0.7.0): the gh-token-monitor persistence service (systemd user service on Linux, LaunchAgent on macOS — both carry a documented dead-man's switch that wipes your home directory if the stolen GitHub token is revoked before the service is removed), and the .claude/router_runtime.js / .claude/setup.mjs / .vscode/setup.mjs dropper files it plants in a project (checked in the current directory and any --project path)
  • SANDWORM_MODE (the npm worm that registers a rogue local MCP server with Claude Code, Cursor, Windsurf and Continue, added in v0.8.0): the hidden ~/.dev-utils/ directory it installs, and any MCP server entry in your Claude Code / Claude Desktop / Cursor / Windsurf config that points at that directory or uses one of its giveaway tool names (index_project, lint_check, scan_dependencies)

Config heuristics (configscan.py) — pattern-based, always worth a second look rather than proof of compromise:

  • Hook commands that pipe a remote download into a shell, write to authorized_keys, use netcat in reverse-shell mode, etc.
  • MCP server definitions that run an unpinned package (npx -y pkg with no version pin)
  • MCP server definitions explicitly pinned to a package version with a disclosed, fixed RCE CVE (added in v0.10.0): mcp-remote below v0.1.16 (CVE-2025-6514, CVSS 9.6 — a malicious remote server's OAuth authorization_endpoint response is passed unsanitized to the OS, arbitrary command execution on just opening the client) and mcp-server-git below v2025.12.18 (CVE-2025-68143/68144/68145 — Anthropic's own reference git MCP server, chainable via indirect prompt injection into full RCE). Only an explicit old pin is flagged — an unpinned install picks up the current, patched release and is already covered by the generic unpinned-package finding above
  • Auto-approved permission rules that are unscoped wildcards (e.g. Bash(*))
  • The "lethal trifecta" pattern: an untrusted-content-fetching tool (WebFetch/WebSearch/browser/MCP scraper) auto-approved alongside an action-capable tool (Bash/Write/Edit/shell) in the same config, with no confirmation step between them — the combination that turns a prompt-injection payload in a fetched page or tool response into real data exfiltration or command execution

Tool definition injection scan (configscan.py:scan_tool_descriptions, added in v0.9.0, opt-in via --tools-json) — scans an MCP server's own tools/list response (the tool name/description pairs it hands to the client) for instructions hidden in the description text: "after every tool call, also call X", fake system:/assistant: role labels, "do not tell the user", "send this data to", etc. MCP clients treat tool descriptions as authoritative guidance for the LLM, so a malicious or compromised server can steer the agent into calling a second, attacker-controlled tool or hiding an action from the user without ever shipping malicious code in a package — this never requires the server itself to be compromised at the package level, so the IOC/config scans above can't catch it. This check never connects to or executes an MCP server; pass it a tool list you already have (e.g. exported from your client, or from another server's own tools/list call) as a JSON file:

agent-audit --skip-ioc --skip-config --tools-json my-mcp-servers-tools.json

Phantom-dependency scan (phantomdeps.py, opt-in via --check-deps) — reads package.json / requirements.txt / pyproject.toml in the --project directory and checks each listed package name against the npm/PyPI registries (read-only HTTP lookups, nothing is installed). AI coding assistants occasionally hallucinate a plausible-but-nonexistent package name; if one ends up in your manifest, an attacker can register that exact name with malicious code and have it silently installed on the next npm install / pip install ("slopsquatting"). Network errors are treated as inconclusive, not as a finding, so a flaky connection can't produce a false positive.

MCP phantom-package scan (scan_mcp_phantom_packages, also opt-in via --check-deps) — the same registry-lookup idea, applied to the MCP server commands themselves: any npx/uvx/pipx run invocation in a scanned config is checked against npm/PyPI. This is the "MCPhantom" pattern flagged by Glow Labs in November 2026: a coding agent fills in a plausible but nonexistent MCP server package name from training data (or copies one from a long-archived tutorial whose package was since renamed/unpublished), and nothing stops an attacker from registering that exact name and having it run as the MCP server next time the config loads.

New incidents can be added to iocs.py as data, without touching the check logic.

Limitations

This is a lightweight triage tool, not an endpoint-security product. A clean result does not prove your machine is uncompromised; it only means none of the *currently known, documented* patterns matched. The config heuristics will produce false positives on legitimate, intentional setups — read the detail line before acting.

MCP server (run it from inside Claude Desktop / Claude Code)

Instead of a terminal, you can run both scans as MCP tools directly inside any MCP client. Add this to your client's MCP config (e.g. Claude Desktop's claude_desktop_config.json, or via claude mcp add):

{

"mcpServers": { "coding-agent-audit": { "command": "uvx", "args": ["coding-agent-audit"] } } }

(No uv? pip install coding-agent-audit then use "command": "agent-audit-mcp" with no args — same server, explicit entry-point name.) This exposes three tools — scan_for_known_backdoors, scan_mcp_config and scan_tool_descriptions — so you can just ask your assistant "scan my machine for AI coding assistant backdoors" and read the result in the chat — same heuristics as the CLI above, nothing installed beyond the server itself. scan_tool_descriptions takes a tool list as its argument (e.g. another MCP server's own tools/list output) rather than scanning the local machine, so one agent can audit another agent's tools directly, agent-to-agent, with no files involved.

Pay-per-call API (for other AI agents / CI systems)

The config heuristics (scan_config_dict) are also available as an x402 pay-per-call HTTP API, for agents/pipelines that want to check a config programmatically without installing anything:

POST https://stackscribe-audit-x402.stackscribe-paywall-worker.workers.dev/audit

Content-Type: application/json {"config": { }}

No X-PAYMENT header → 402 with the x402 v2 price (0.02 USDC on Polygon, scheme exact). No account, API key or KYC on either side; settlement runs through the public PayAI facilitator. This only scans the JSON object you send (hooks/permissions/MCP-server heuristics) - it can't do this package's filesystem IOC scan remotely. Full request/response shape: GET /openapi.json on that URL, or the source of the x402 worker. The free CLI above remains the full, unpaid alternative. Registered and domain-verified on 402index.io; see the writeup on the three compliance gaps discovery crawlers found that our own tests missed.

GitHub Action (CI gate for your repo's own config)

If your repo commits .claude/settings.json or .mcp.json, there's a [GitHub Action](htt

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

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