GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Beschreibung vom Entwickler (englisches Original)
Least-privilege auditor for GitHub Actions workflows: permissions, triggers, secrets.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"flowcheck": {
"command": "npx",
"args": [
"-y",
"@reneturcios/flowcheck",
"mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add flowcheck -- npx -y @reneturcios/flowcheck mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"flowcheck": {
"command": "npx",
"args": [
"-y",
"@reneturcios/flowcheck",
"mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"flowcheck": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/flowcheck",
"mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto CloudCorpRecords bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.2) kam vor 11 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js, Docker auf deinem Computer.
In derselben Kategorie: GitHub, Desktop Commander, Cloudflare MCP
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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.
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.
| rule | severity | what it means |
|---|---|---|
FC-PERMS-WRITE-ALL | critical (top level), high (job) | permissions: write-all, every scope writable by the token. |
FC-PR-HEAD-CHECKOUT | critical | pull_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-PERMISSIONS | high or medium | No top-level permissions: block. Jobs inherit the repo default token, which is write-all on many repos. |
FC-JOB-GRANT-BROAD | medium (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-INHERIT | high or medium | A reusable workflow call passes secrets: inherit, handing every repo secret to the called workflow. |
FC-REUSABLE-MISSING | high | A job calls a local reusable workflow (./.github/workflows/...) that does not exist in the estate. GitHub fails the caller at runtime. |
FC-REUSABLE-NOT-CALLABLE | high | A job calls a local workflow as reusable, but that file declares no workflow_call trigger, so it cannot be called. |
FC-REUSABLE-INPUTS | medium | A caller passes an input the callee does not declare in workflow_call inputs, or omits a required input that has no default. |
FC-REUSABLE-SECRETS | medium | A 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:
For every job, flowcheck infers the least privilege its steps need:
| step shape | inferred grant |
|---|---|
actions/checkout | contents: 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 all | permissions: {} |
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.
# Audit the current repo
npx @reneturcios/flowcheck audit
npx @reneturcios/flowcheck audit ~/src/my-repo --json
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.
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.
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.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.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 label in runs-on; runner groups named without the label are not recognized.pull_request; it does not try to prove a specific secret reaches a specific step.