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Release

Checked
madappgang·vlatest·devops·MIT

Automates deployments to various environments, streamlining releases and reducing manual errors for faster application updates.

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 madappgang/claude-code --skill release -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

madappgang

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 madappgang/claude-code at 6097ad4643.

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

Scanned
1 file, 170 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

The madappgang-release skill enables AI agents to execute software deployment workflows, specifically handling versioned releases within development environments. It streamlines the transition from code commits to production-ready artifacts by automating build and release steps.

When to use it

  • Deploying new features or bug fixes after a successful code review.
  • Managing version increments (e.g., patch, minor, major) for distributed applications.
  • Triggering automated pipelines in CI/CD environments upon specific events.
  • Rolling back releases when critical issues are detected post-deployment.

Key capabilities

  • Automated artifact generation and packaging.
  • Version control integration for tracking release history.
  • Environment-specific deployment configurations.
  • Status reporting on release success or failure.

Example prompts

  • "Create a new release version 1.2.0 with the latest feature updates."
  • "Deploy the current branch to the staging environment and verify the build."
  • "Rollback the last release due to a critical security vulnerability."

Tips & gotchas

Ensure your repository has proper versioning tags configured before initiating a release, as the skill relies on these for accurate tracking. Limit deployment frequency in high-traffic environments to prevent service disruptions during automated rollouts.