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Flowcheck

by CloudCorpRecordsversion 0.1.2i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/flowcheck

Install

Overview

Description from the maker (original English)

Least-privilege auditor for GitHub Actions workflows: permissions, triggers, secrets.

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

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?

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": {
    "flowcheck": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/flowcheck",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add flowcheck -- npx -y @reneturcios/flowcheck mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "flowcheck": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/flowcheck",
        "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": {
    "flowcheck": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/flowcheck",
        "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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, 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 1385 servers in this category
  • Published to the registry more recently than 80% of the other 1385 servers in this category
  • Basic checks equal to or better than 100% of the other 1385 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 Flowcheck 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 (0.1.2) reached the registry 11 days 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, Docker 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 3 days ago
Install

Desktop Commander

by wonderwhy-er

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

Runs on your computer★ 10,225MITUpdated 15 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.

flowcheck

The default GitHub token can write to your repo. Most workflows never check.

Every GitHub Actions workflow runs with a GITHUB_TOKEN. Repos created with legacy settings give that token write access to nearly everything, and a workflow with no permissions: block inherits whatever the repo default is. Add the trigger shapes that check out pull request code inside a privileged context, secrets passed wholesale to reusable workflows, and caches written by PR runs and read back by release runs, and the workflow file itself becomes the attack surface. The 2025 tj-actions compromise showed how fast a trusted action can turn; "pwn request" write-ups have shown the same for pull_request_target checkouts of PR heads for years.

flowcheck audits every workflow in a repo for least-privilege problems, shows the evidence per file, job, and line, and emits a hardened permissions block per job, inferred from what the job's steps actually do, that you can paste in.

Why this exists

GitHub Actions are the second largest confirmed open source supply-chain attack surface of the last year, behind only npm. The failures are rarely exotic: a missing permissions block, one write-all, a checkout of ${{ github.event.pull_request.head.sha }} under pull_request_target, a self-hosted runner answering PR triggers. All of them are visible in the YAML, statically, before anything runs. flowcheck reads the YAML with a real parser (anchors, merge keys, and block scalars included), never executes anything in the scanned repo, and is callable by agents through MCP so the audit can run inside contribution and release workflows, not just by hand.

Sibling tools ask different questions: actionpin asks whether action refs are pinned to SHAs. flowcheck asks whether permissions and triggers are least-privilege. They share no code.

What it checks

ruleseveritywhat it means
FC-PERMS-WRITE-ALLcritical (top level), high (job)permissions: write-all, every scope writable by the token.
FC-PR-HEAD-CHECKOUTcriticalpull_request_target, workflow_run, or issue_comment trigger combined with a checkout whose ref points at the PR head. Privileged context, untrusted code.
FC-NO-TOP-PERMISSIONShigh or mediumNo top-level permissions: block. Jobs inherit the repo default token, which is write-all on many repos.
FC-JOB-GRANT-BROADmedium (high for id-token)A job (or the top-level block it inherits) grants a write scope no step in the job needs, judged against the inferred needs.
FC-SECRETS-INHERIThigh or mediumA reusable workflow call passes secrets: inherit, handing every repo secret to the called workflow.
FC-REUSABLE-MISSINGhighA job calls a local reusable workflow (./.github/workflows/...) that does not exist in the estate. GitHub fails the caller at runtime.
FC-REUSABLE-NOT-CALLABLEhighA job calls a local workflow as reusable, but that file declares no workflow_call trigger, so it cannot be called.
FC-REUSABLE-INPUTSmediumA caller passes an input the callee does not declare in workflow_call inputs, or omits a required input that has no default.
FC-REUSABLE-SECRETSmediumA caller does not pass a secret the callee declares required: true in workflow_call secrets (and does not use secrets: inherit).

Reusable graph checks resolve local calls only: a remote reusable call (owner/repo/.github/workflows/... at a ref) cannot be read from the local estate and is not flagged by the graph rules. | FC-SELF-HOSTED-PR | high | A self-hosted runner in a workflow with PR-reachable triggers. Fork code on your machine and your network. | | FC-SECRETS-ON-PR | medium | Secret references in a pull_request workflow. Same-repo PR branches run with secrets before merge. | | FC-CACHE-POISON | medium | A cache step under a PR trigger in a workflow that also has a privileged (write) consumer: a poisoned cache entry can execute inside a later privileged run. | | FC-ARTIFACT-WORKSPACE | medium | actions/upload-artifact uploading the whole workspace (path: ., **, or no path), which routinely carries .git, config, and spilled secret material. | | FC-PERMS-READ-ALL | low | permissions: read-all instead of an explicit scope list. | | FC-NO-TIMEOUT | low | A job with no timeout-minutes. The platform default is 360 minutes. | | FC-NO-CONCURRENCY | low | A deploy-shaped job (release, publish, image push, or an environment) with no concurrency guard at job or workflow level. | | FC-DISPATCH-INPUT-INJECTION | low | A workflow_dispatch input interpolated directly into a run step, where free text becomes shell. | | FC-PARSE-ERROR | medium | The workflow YAML does not parse cleanly. |

Verdict rules:

  • EXPOSED: at least one critical or high finding. Exit code 1.
  • REVIEW: only medium or low findings. Exit code 1.
  • HARDENED: no findings. Exit code 0.
  • Usage errors exit with code 2. That includes a target that is not a directory or a single workflow file: a FIFO, a device, a regular non-workflow file, or a nonexistent path gets a stderr error and no verdict, never a HARDENED over zero files. A reader that closes the output pipe early makes the process exit 141, never 0.

The hardened plan

For every job, flowcheck infers the least privilege its steps need:

step shapeinferred grant
actions/checkoutcontents: read
release creation (gh release create, softprops/action-gh-release)contents: write
image push (docker/build-push-action with push, docker push, buildx --push)packages: write
PR writes (gh pr create, gh pr comment, labeler, stale)pull-requests: write
issue writes (gh issue comment and friends)issues: write
Pages deploy (actions/deploy-pages)pages: write, id-token: write
OIDC sign-in (AWS, Azure, Google auth actions, explicit OIDC use in scripts)id-token: write
build provenance (actions/attest-build-provenance)attestations: write, id-token: write
no token use at allpermissions: {}

audit prints the plan next to the findings; harden prints the per-job blocks plus a top-level union block. Nothing is written to your files: the plan is output, you paste it.

Usage

CLI
# Audit the current repo

npx @reneturcios/flowcheck audit

Audit another path, machine readable

npx @reneturcios/flowcheck audit ~/src/my-repo --json

Just the hardening plan

npx @reneturcios/flowcheck harden ~/src/my-repo

Example output:

flowcheck audit .: EXPOSED

workflows: 2, jobs: 3, findings: 2 (critical: 1, high: 1, medium: 0, low: 0) [CRITICAL] .github/workflows/pr.yml:14 FC-PR-HEAD-CHECKOUT (job inspect) Privileged trigger context (pull_request_target) combined with a checkout of the PR head (...) [HIGH] .github/workflows/pr.yml:1 FC-NO-TOP-PERMISSIONS No top-level permissions block. ... EXPOSED: at least one critical or high finding. ...

Auditing needs no credentials and no network. Estate caps are explicit, never silent: at most 500 workflow files per run and 2 MiB per file, and the report's caps field plus a note say when a cap was hit and what was not scanned.

MCP server

Add to your MCP client config:

{

"mcpServers": { "flowcheck": { "command": "npx", "args": ["-y", "@reneturcios/flowcheck", "mcp"] } } }

Tools: audit_workflows(path) returns the full audit report as JSON. harden_plan(path) returns the per-job hardened permissions blocks, the top-level union block, and the findings they answer.

Limits, stated plainly

  • Permission inference is heuristic. It recognizes the step shapes in the table above plus common gh CLI and script patterns. An unknown third-party action may need more (or less) than the plan suggests; the plan is a starting point a human reviews, not a proof.
  • Broad-grant findings are calibrated for invisible consumers: when a job contains a step whose token use cannot be seen in the workflow file (an unknown third-party action, a local composite action, or an actions/github-script step, which is arbitrary JavaScript that often delegates to repo files), the finding is reported at low severity with that caveat instead of medium or high. flowcheck does not follow local composite action files or scripts a step delegates to in v0.1.1.
  • The PR-head checkout rule needs an explicit ref expression pointing at the head (pull_request.head, head_ref, workflow_run.head). A checkout with no ref under pull_request_target checks out the base branch, which is the safe shape, and is not flagged. Indirect head checkouts assembled through env vars or outputs are not traced.
  • Self-hosted detection sees the literal self-hosted label in runs-on; runner groups named without the label are not recognized.
  • Reusable workflow jobs are planned from the call site only; the called workflow's own steps are a separate audit target.
  • Matrix-generated jobs are audited as written, once, not per matrix combination.
  • The secrets rule counts references under pull_request; it does not try to prove a specific secret reaches a specific step.
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