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Helm Release Management

Checked
laurigates·vlatest·cloud·MIT

Automate Helm release deployments, upgrades, rollbacks, and health checks within Kubernetes clusters.

Repository

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 laurigates/claude-plugins --skill helm-release-management -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

laurigates

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 laurigates/claude-plugins at 45d1d7dcf6.

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

Commit
45d1d7dcf6
Manifest
kubernetes-plugin/skills/helm-release-management/SKILL.md
Scanned
2 files, 523 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

What it does

This skill enables AI agents to manage Kubernetes applications using Helm, allowing them to install, upgrade, and uninstall releases directly. It streamlines the lifecycle management of containerized workloads by executing Helm commands through an integrated terminal interface.

When to use it

  • Deploying new microservices or applications to a Kubernetes cluster via Helm charts.
  • Upgrading existing Helm releases to fix bugs or apply new features without manual intervention.
  • Removing deprecated services from the cluster to free up resources and reduce clutter.
  • Automating routine maintenance tasks like rolling back to previous stable versions during incidents.

Key capabilities

  • Execute helm install commands to deploy applications from charts.
  • Run helm upgrade to modify existing releases with new configurations or values.
  • Perform helm uninstall to cleanly remove releases and their associated resources.
  • Interact with the Helm CLI through a terminal interface for real-time command execution.

Example prompts

  • "Install the nginx-ingress controller from the official Helm chart into my cluster."
  • "Upgrade the production database release to the latest stable version and apply custom values."
  • "Uninstall the legacy monitoring service and verify no residual pods remain."

Tips & gotchas

Ensure your AI agent has appropriate permissions (e.g., helm install, upgrade, uninstall) within the target Kubernetes namespace. Always validate Helm chart versions and values before executing upgrades to prevent unintended changes in production environments.