kubernetes-skill: Kubernetes Skill for Claude Code and Codex

by LukasNiessen · Claude Skill · ★ 409

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install kubernetes-skill

git clone https://github.com/LukasNiessen/kubernetes-skill.git ~/.claude/skills/kubernetes-skill
git clone https://github.com/LukasNiessen/kubernetes-skill.git "$env:USERPROFILE\.claude\skills\kubernetes-skill"

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

claude-codeclaude-skillscodexcodex-skilldevopshelmk8skuberneteskubernetes-deploymentkubernetes-setup

Quick Facts

Stars409
Forks75
CategoryClaude Skill
LicenseMIT
Quality Score66/100
Last Updated2026-09-13
Created2026-04-12
Platformsclaude-code, codex, k8s
Est. Tokens~21k

About kubernetes-skill

Kubernetes Skill for Claude Code and Codex: KubeShark The #1 Kubernetes skill for Claude Code and Codex, measured by GitHub stars. Fixes Hallucinations. LLMs hallucinate a lot when it comes to Kubernetes. They omit security contexts, generate deprecated APIs, use wildcard RBAC, forget resource limits, and produce probes that cause cascading failures. This skill fixes it.

Compatible Skills

These tools work well together with kubernetes-skill for enhanced workflows:

  • mcp-kubernetes — semantic(0.31)+complementary+similar_pop+shared_platform (51%)
  • k8s-mcp-server — semantic(0.47)+complementary+rare_topics+shared_platform (50%)
  • kubefwd — semantic(0.43)+complementary+rare_topics+shared_platform (50%)
  • kelos — semantic(0.39)+complementary+similar_pop+shared_platform (49%)
  • siclaw — semantic(0.25)+complementary+rare_topics+similar_pop+shared_platform (48%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools