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Release

Checked
dropseed·vlatest·devops

Automates deployments to various environments (dev, staging, prod) streamlining workflows and ensuring consistent releases for faster development cycles.

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 dropseed/plain --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

dropseed

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 dropseed/plain at d372dd636a.

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

Scanned
1 file, 146 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

The dropseed-release skill automates software releases, handling tasks like version bumping, tag creation, and deployment to various environments. It streamlines the release process by reducing manual steps and potential errors, ensuring consistent and repeatable deployments. This skill is particularly useful for teams practicing continuous integration and continuous delivery (CI/CD).

When to use it

  • Automated Deployments: When you need to automatically deploy new versions of your application to staging or production environments after code changes.
  • Version Management: To simplify the process of incrementing version numbers and creating Git tags for releases.
  • Release Pipelines: As part of a larger CI/CD pipeline, automating the steps from build to deployment.
  • Consistent Releases: To ensure that release processes are standardized across different projects or teams.

Key capabilities

  • Version bumping (semantic versioning)
  • Git tag creation
  • Deployment to environments

Example prompts

  • "Release version 1.2.3 to the staging environment."
  • "Create a new Git tag for the latest release and deploy it to production."
  • “Bump the version number and prepare for release.”

Tips & gotchas

This skill likely requires appropriate permissions within your Git repository and deployment environments. Ensure that the AI agent has access to these resources before attempting any releases.