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K8S Security

Checked
eyadsibai·vlatest·cloud

Analyzes Kubernetes cluster configurations for security vulnerabilities and misconfigurations using best practice checks.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add eyadsibai/ltk --skill k8s-security -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

eyadsibai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned eyadsibai/ltk at f8e85697b9.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 183 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

k8s-security

What it does

This skill enables AI agents to perform security-focused operations within Kubernetes environments. It allows agents to audit configurations, enforce policies, and manage secure deployments directly on the cluster.

When to use it

  • Automating routine security compliance checks across multiple namespaces.
  • Enforcing pod security standards before deploying new applications.
  • Scanning container images for vulnerabilities prior to rollout.
  • Generating remediation reports after detecting misconfigurations.

Key capabilities

  • Kubernetes configuration auditing and validation.
  • Policy enforcement for pods, services, and network rules.
  • Integration with external security scanning tools.
  • Secure deployment management and rollback support.

Example prompts

  • "Audit all running pods in the production namespace for privilege escalation risks."
  • "Enforce a pod security policy that restricts root user access across the cluster."
  • "Scan the latest Docker image for CVEs before deploying it to staging."

Tips & gotchas

Ensure your AI agent has appropriate RBAC permissions to read and modify Kubernetes resources. This skill is most effective when combined with existing CI/CD pipelines to catch issues early in the deployment lifecycle.