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kubernetes-pentesting

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143,890,500installs
Updated Aug 2026

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Description

# SKILL: Kubernetes Pentesting — Expert Attack Playbook > **AI LOAD INSTRUCTION**: Expert Kubernetes attack techniques. Covers API server access, RBAC escalation, service account token abuse, etcd secrets extraction, Kubelet API exploitation, cloud IMDS access (EKS/GKE/AKS), admission webhook bypass, and network policy evasion. Base models miss the distinction between namespace-scoped and cluster-scoped RBAC, and overlook Kubelet's unauthenticated API. ## 0. RELATED ROUTING Before going deep, consider loadi

Install kubernetes-pentesting

Run this in your OpenClaw agent to add kubernetes-pentesting from the ClawHub registry.

terminal
$openclaw skills install kubernetes-pentesting

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

危险50/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

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Frequently asked questions

Is kubernetes-pentesting safe to install?

kubernetes-pentesting has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does kubernetes-pentesting cost?

kubernetes-pentesting is free to install for OpenClaw via ClawHub.

What are the best alternatives to kubernetes-pentesting?

You can compare kubernetes-pentesting side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install kubernetes-pentesting?

Install kubernetes-pentesting from ClawHub at clawhub.ai/skills/kubernetes-pentesting, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6110.00 / 5.00
Installs143,890,500
Last UpdateAug 7, 2026
Actively maintained (0d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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