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Agent Release Swarm

Checked
ruvnet·vlatest·agents·MIT

Automates coordinated release deployments across multiple environments using a swarm of agents, minimizing downtime and risk.

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 ruvnet/ruflo --skill agent-release-swarm --full-depth -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

ruvnet

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 ruvnet/ruflo at b636802d8c.

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

Commit
b636802d8c
Manifest
.agents/skills/agent-release-swarm/SKILL.md
Scanned
1 file, 534 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 ruvnet-agent-release-swarm skill automates the release process for AI agents. It orchestrates deployments across multiple environments, ensuring consistency and reducing manual effort. Specifically, this includes managing container images, deploying agent instances, and handling rollbacks if necessary.

When to use it

  • Automating releases of new agent versions to staging or production environments.
  • Rolling out updates to a fleet of AI agents deployed across various servers.
  • Performing coordinated deployments where multiple agent components need to be updated simultaneously.
  • Simplifying the process of reverting to previous agent versions in case of issues.

Key capabilities

  • Automated container image management
  • Multi-environment deployment orchestration
  • Agent instance deployment and scaling
  • Rollback functionality for failed deployments

Example prompts

  • "Release version 1.2.3 of the AI agent to the staging environment."
  • "Deploy the latest tagged image for the AI agent to production."
  • "Initiate a rollback to the previous stable version of the AI agent."

Tips & gotchas

This skill requires proper configuration of your deployment environments and container registry credentials. Ensure that the necessary permissions are granted to the AI agent to access these resources.