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Gitlab Workflow

Checked
mindrally·vlatest·backend·Apache-2.0

Automates GitLab CI/CD pipeline management, triggering builds, deployments, and monitoring job status via natural language commands.

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 gitlab-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.

Scanned
1 file, 332 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 gitlab-workflow skill enables AI agents to interact directly with GitLab repositories, automating code review processes and managing issue tracking within the platform. It streamlines development workflows by allowing agents to execute commands and update project statuses without manual intervention.

When to use it

  • Automating routine code review checks before merging pull requests.
  • Creating or updating issues based on detected bugs in commit messages.
  • Triggering CI/CD pipeline runs when specific branches are updated.
  • Assigning tasks to team members via GitLab's issue management system.

Key capabilities

  • Direct integration with GitLab API endpoints.
  • Execution of repository-specific commands and scripts.
  • Management of pull requests, including approvals and comments.
  • Issue tracking creation, assignment, and status updates.

Example prompts

  • "Review the latest changes in the main branch and approve the merge request if all tests pass."
  • "Create a new issue titled 'Fix login error' and assign it to @dev-team based on the recent commit description."
  • "Run the pre-deployment pipeline for project backend-api and notify me of the results."

Tips & gotchas

Ensure your AI agent has valid API tokens with sufficient permissions to modify repositories or create issues. This skill relies on active GitLab instances; it will not function if the target project is private without proper authentication setup.