Taskbounty Check

Name: Taskbounty Check
Author: eliottreich

by eliottreichversion 0.1.6i★ –iRuns on your computer

Registry nameio.github.eliottreich/taskbounty-check

Install

Overview

Description from the maker (original English)

Local GitHub Actions/CI maintenance check (action pinning, token perms). Not a full security audit.

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: Developer tools

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

npmNode.js installed (for the npx 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": {
    "taskbounty-check": {
      "command": "npx",
      "args": [
        "-y",
        "taskbounty-check",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add taskbounty-check -- npx -y taskbounty-check mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "taskbounty-check": {
      "command": "npx",
      "args": [
        "-y",
        "taskbounty-check",
        "mcp"
      ]
    }
  }
}

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": {
    "taskbounty-check": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "taskbounty-check",
        "mcp"
      ]
    }
  }
}

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 eliottreich, 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 1396 servers in this category
Published to the registry more recently than 27% of the other 1396 servers in this category
Basic checks equal to or better than 100% of the other 1396 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 Taskbounty Check 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 (0.1.6) reached the registry 5 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: GitHub, Desktop Commander, Cloudflare MCP

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

GitHub

by 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.

Computer or cloud★ 34,245MITUpdated 4 days ago

Install

Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 16 days ago

Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months 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.

taskbounty-check

A local check for GitHub Actions and CI maintenance hygiene (third-party action pinning, workflow token permissions, and update automation), built for apps shipped with Lovable, Bolt, Replit, Cursor, or v0.

Local by default. No uploads. No telemetry. It reads only your workflow files, on your machine. The default code path makes no outbound network requests, writes its report locally, and sends nothing anywhere. There is no analytics or phone-home of any kind. Only the opt-in --gh-org mode uses the network (through your own gh session).

Works with Cursor, Claude Code, and Codex (local MCP server, below).

Three ways to use it

1. GitHub Action — add a maintenance check to CI that writes a summary to the run (no PR comments, no source upload):

permissions:

contents: read steps:

uses: actions/checkout@v4
run: npx taskbounty-check@0.1.6 . --github-summary --no-network

Want a human to interpret or fix what the Action surfaces? Request a free launch-safety review. TaskBounty gets no access to your repo, source, or workflows unless you submit that form.

2. Agent / MCP — a local stdio server for Cursor, Claude Code, and Codex:

npx -y taskbounty-check@0.1.6 mcp

3. One-off CLI — scan the current repo locally and write a report:

npx -y taskbounty-check@0.1.6 .

Pin a version (@0.1.6) in committed config and CI for reproducibility. @latest is convenient

for a quick one-off, but a pinned version is the reproducible choice.

The GitHub job summary

The Action writes a counts-only maintenance summary to the workflow run (categories and next steps, no filenames, line numbers, or repo source). Below is that exact summary, rendered from this repo's own CI output:

See it produced live by the self-check job in this repository's Actions runs.

Prefer a guided walkthrough? Follow the five-minute real-repository quickstart.

Learn more

Methodology — exactly what it reviews and how findings are labeled.
Privacy and scope — local-by-default data handling.
Limitations — what it does NOT check (below).

Supported checks (and honest limitations)

Checks (GitHub Actions + CI maintenance hygiene):

Third-party actions pinned to a movable tag/branch instead of a commit SHA
Broad (write-all) workflow token permissions
Missing explicit permissions: block
Update automation (Dependabot/Renovate) presence
Context-dependent workflow patterns flagged for private review (e.g. pull_request_target, script injection)

Does NOT check (these need a manual review): exposed secrets, auth/authorization, payments, webhooks, runtime behavior. It is a maintenance/hygiene check, not a full security audit or a penetration test.

What it does

Reads only your GitHub Actions workflow files and update-automation config, scans them in-process with a deterministic ruleset (the same rules as the public checker), and writes a local HTML + JSON report. It does not execute workflows, install dependencies, or run any repository code.

Modes

Mode	Command	Network
Single repo	`npx taskbounty-check .`	none
Directory of repos	`npx taskbounty-check ./all-repos`	none
Explicit paths	`npx taskbounty-check --manifest repos.json`	none
GitHub org (your `gh` session)	`npx taskbounty-check --gh-org`	yes, opt-in

--gh-org uses your existing gh CLI session to fetch each repo's workflow files to this machine (read-only). Your GitHub token is never read by this tool and never sent to TaskBounty.

What is read, written, transmitted

Run --explain-data to print this at any time.

Reads (allowlist — nothing else is opened): /.github/workflows/*.yml|*.yaml and update-automation config (dependabot.yml/renovate.json*). Never source files, .env, secrets, SSH keys, credential stores, or anything outside the selected repository roots. Symlinks that escape a root are skipped, never followed.
Writes (local only): .json (full detail) and .html.
Transmits: nothing by default. `--share` uploads nothing — it writes a *sanitized, counts-only* file (scan id, label, candidate counts by category, private-review count, scanner version, timestamps; repo names only with --include-repo-names) for you to submit manually. Network stays off under --share. Only --gh-org intentionally uses the network.

Flags

--share · --gh-org · --manifest · --org-label · --include-repo-names · --dry-run · --explain-data · --delete-local-report · --no-network (default everywhere except --gh-org) · --out · --version · --help

Want help interpreting or fixing these results?

Request a free 20-minute launch-safety review: https://www.task-bounty.com/ai-app-security-check/review?utm_source=npm&utm_medium=npm_readme&utm_campaign=workflow_security

TaskBounty receives nothing unless you submit that form. The scan runs locally and the full report stays on your machine; the review form gives us no access to your repositories, source, workflows, or secrets.

GitHub Code Scanning (SARIF)

Emit SARIF 2.1.0 and surface findings in your repo's Security → Code scanning tab:

npx taskbounty-check@latest . --format sarif --output taskbounty.sarif

The SARIF carries deterministic rule ids (taskbounty/ ), severity levels, and file/line references — no source contents, secrets, or environment values, and no network access. Confirmed findings are emitted as kind: fail; lower-confidence items as kind: review.

Help interpreting SARIF results: https://www.task-bounty.com/ai-app-security-check/review?utm_source=github&utm_medium=sarif_docs&utm_campaign=workflow_security

Upload it with the official action (full example in examples/code-scanning.yml):

permissions:

contents: read security-events: write steps:

uses: actions/checkout@v4
run: npx taskbounty-check@0.1.6 . --format sarif --output taskbounty.sarif
uses: github/codeql-action/upload-sarif@v3 with: sarif_file: taskbounty.sarif

Local agent (MCP)

Run a local stdio MCP server so Codex, Claude Code, or Cursor can scan and reason about findings in your editor. It runs locally, makes zero outbound network requests, uploads no source, and never modifies files — generate_fix_plan returns a plan as text for you to apply yourself.

npx taskbounty-check@latest mcp

Tools: scan_repo (local scan summary), explain_finding (plain-language explanation), generate_fix_plan (text fix plan).

Want a human to review the plan? https://www.task-bounty.com/ai-app-security-check/review?utm_source=mcp&utm_medium=mcp_docs&utm_campaign=workflow_security

Cursor — .cursor/mcp.json:

{ "mcpServers": { "taskbounty-check": { "command": "npx", "args": ["-y", "taskbounty-check@latest", "mcp"] } } }

Claude Code:

claude mcp add taskbounty-check -- npx -y taskbounty-check@latest mcp

Codex — in ~/.codex/config.toml:

[mcp_servers.taskbounty-check]

command = "npx" args = ["-y", "taskbounty-check@latest", "mcp"]

Security

Zero runtime dependencies. Published to npm with provenance (verify on the package's npm page). The default run makes no outbound requests and uploads nothing; see the methodology for the full data-handling and scope boundaries.

Taskbounty Check

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 Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

taskbounty-check

Three ways to use it

The GitHub job summary

Learn more

Supported checks (and honest limitations)

What it does

Modes

What is read, written, transmitted

Flags

Want help interpreting or fixing these results?

GitHub Code Scanning (SARIF)

Local agent (MCP)

Security