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Github Workflow

Checked
mindrally·vlatest·backend·Apache-2.0

Automates GitHub workflow management, triggering runs, analyzing logs, and reporting status directly within MindRally.

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 mindrally/skills --skill github-workflow -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

mindrally

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 mindrally/skills at 7682ca7771.

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

Commit
7682ca7771
Manifest
github-workflow/SKILL.md
Scanned
1 file, 274 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 github-workflow skill enables AI agents to interact directly with GitHub Actions, allowing them to trigger, monitor, and manage CI/CD pipelines autonomously. It bridges the gap between code commits and deployment by executing predefined workflows within a repository context.

When to use it

  • Automate testing and validation immediately after pushing code changes to a branch.
  • Trigger specific deployment sequences for production releases without manual intervention.
  • Monitor build status and notify teams when pipeline stages fail or succeed.
  • Manage workflow runs across multiple repositories in an organization.

Key capabilities

  • Trigger GitHub Actions workflows via API calls or event listeners.
  • Retrieve real-time status of ongoing builds and deployments.
  • Cancel failed or stuck workflow runs to save resources.
  • Access workflow logs and artifacts for debugging purposes.

Example prompts

"Run the 'deploy-prod' workflow on my main branch if all tests pass." "Check the status of the latest build in repository X and summarize any errors." "Cancel all running workflows in this repo that are older than 2 hours."

Tips & gotchas

Ensure your GitHub token has sufficient permissions (repo scope) to trigger actions. Verify that required secrets (e.g., API keys, database credentials) are properly configured in the repository settings before relying on automated deployments.