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Github Workflow Automation

Checked
ruvnet·vlatest·backend·MIT

Helps with GitHub, automation as part of developing backend services and APIs workflows.

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 github-workflow-automation --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/github-workflow-automation/SKILL.md
Scanned
3 files, 2,808 lines
Copies in repo
3 — all of them scanned
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 interact directly with GitHub Actions workflows, allowing them to trigger, monitor, and manage CI/CD pipelines programmatically. It bridges the gap between agent decision-making and automated software delivery systems.

When to use it

  • Automatically triggering builds or deployments when an AI agent detects a code change or passes specific logic checks.
  • Monitoring pipeline status in real-time to alert teams if a deployment fails after an agent-initiated update.
  • Orchestrating complex release sequences where an agent must wait for one workflow step to complete before starting the next.
  • Automating rollback procedures by invoking GitHub Actions to revert changes when an agent identifies a critical error.

Key capabilities

  • Direct integration with GitHub Actions API endpoints.
  • Ability to trigger specific workflows or jobs remotely.
  • Real-time status tracking of pipeline execution.
  • Support for passing parameters and context to workflow runs.

Example prompts

  • "Trigger the 'production-deploy' workflow on my repository using the latest commit hash."
  • "Check the status of the current build pipeline and summarize any errors found."
  • "Cancel all running jobs in the 'testing' workflow branch if they exceed 30 minutes."

Tips & gotchas

Ensure your AI agent has valid GitHub Personal Access Tokens (PATs) with sufficient permissions to trigger workflows on the target repositories. Be mindful of rate limits imposed by the GitHub API when automating high-frequency checks.