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Kubernetes-Hosts mit kube-bench gemäß CIS-Anleitung prüfen

Führen Sie vor einem Audit, Upgrade oder Härtungs-Sprint eine benchmarkgesteuerte Zustandsprüfung Ihrer Kubernetes-Knoten und Control Planes durch.

Was ist Kubernetes-Hosts mit kube-bench gemäß CIS-Anleitung prüfen?

Diese Fähigkeit führt eine automatisierte Sicherheitsbewertung von Kubernetes-Clustern mit dem Tool kube-bench durch. kube-bench überprüft Knoten und Control Planes gegen das CIS Kubernetes Benchmark, um Schwachstellen und Fehlkonfigurationen zu identifizieren, bevor ein Audit, Upgrade oder Härtungs-Sprint beginnt. Die Prüfung deckt Bereiche wie API-Server-Konfiguration, etcd-Einstellungen, Pod-Security-Standards und Netzwerkrichtlinien ab, die im CIS-Benchmark definiert sind. Das Tool unterstützt sowohl die direkte Ausführung auf Host-Systemen als auch die containerisierte Ausführung innerhalb eines Pods. Es ist ideal für DevOps-Teams, Sicherheitsingenieure und Plattformadministratoren, die Compliance-Anforderungen wie SOC2, ISO27001, PCI-DSS oder interne Security-Posture-Richtlinien erfüllen müssen. Die Nutzung setzt Cluster-Administratorzugriff oder entsprechende RBAC-Berechtigungen voraus, sowie die Möglichkeit, auf Host-Verzeichnisse und PID-Namensräume zuzugreifen (z. B. in Pods mit hostPID oder über SSH auf Worker-Knoten). Das Skill generiert einen detaillierten Bericht, der als Grundlage für Remediation-Maßnahmen und Hardening-Aufgaben dient.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/check-kubernetes-hosts-against-cis-guidance-with-kube-bench-before-audit-or-hardening-work
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Dokumentation

Kubernetes-Hosts mit kube-bench gemäß CIS-Anleitung prüfen – vor einem Audit oder Härtungs-Sprint

Führen Sie vor einem Audit, Upgrade oder Härtungs-Sprint eine benchmarkgesteuerte Zustandsprüfung Ihrer Kubernetes-Knoten und Control Planes durch.

Voraussetzungen

kube-bench Binary oder Container-Image, Zugriff auf Kubernetes-Knoten oder Cluster-Kontext, Benchmark-Profil passend zur Zielumgebung

Installation

Anforderungen und Hinweise aus dem Upstream:

  • Docker Pulls

Grundlegende Nutzung oder erste Schritte:

  • Es gibt mehrere Möglichkeiten, kube-bench auszuführen.

  • Sie können kube-bench innerhalb eines Pods ausführen, benötigen dafür aber Zugriff auf den PID-Namensraum des Hosts, um die laufenden Prozesse zu prüfen, sowie Zugriff auf einige Verzeichnisse auf dem Host, in denen Konfigurationsdateien und andere Dateien liegen.

  • Die beiliegende job.yaml Datei kann angewendet werden, um die Tests als Job auszuführen. Zum Beispiel:

  • Quelle: https://github.com/aquasecurity/kube-bench

  • Aus den Upstream-Dokumenten extrahiert: https://raw.githubusercontent.com/aquasecurity/kube-bench/HEAD/README.md

Dokumentation

Quelle

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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act Local GitHub Actions Runner

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Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

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