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Gitlab Automation

Listed
sickn33·vlatest·backend·MIT

Automates GitLab CI/CD pipelines, merges requests, and manages branches based on predefined rules and triggers.

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 sickn33/agentic-awesome-skills --skill gitlab-automation -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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/agentic-awesome-skills at c808e6e480.

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

Commit
c808e6e480
Manifest
skills/gitlab-automation/SKILL.md
Scanned
0 files
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 GitLab repositories, allowing for automated code management and workflow execution. It facilitates tasks such as creating merge requests, triggering CI/CD pipelines, and managing project issues programmatically.

When to use it

  • Automating the creation of merge requests after a successful code review or test suite completion.
  • Triggering continuous integration (CI) pipelines immediately upon pushing new commits to a branch.
  • Managing GitLab issues by automatically creating tickets based on error logs or feature request keywords.
  • Streamlining project maintenance by updating labels and assigning tasks within the repository.

Key capabilities

  • Direct interaction with GitLab API endpoints for repository management.
  • Automated execution of CI/CD pipelines via trigger mechanisms.
  • Creation and manipulation of merge requests and code reviews.
  • Issue tracking automation including creation, assignment, and status updates.
  • Integration with existing GitLab project structures and permissions.

Example prompts

  • "Create a merge request for the 'feature-auth' branch targeting the main branch and add a comment linking to the test results."
  • "Trigger the CI pipeline for the 'production-deploy' job on the latest commit in the 'release/v1.2' branch."
  • "Find all open issues labeled 'bug' in the current project and assign them to the developer with the highest activity score."

Tips & gotchas

Ensure your AI agent has the necessary API tokens with appropriate scopes (e.g., read_repository, write_repository) to perform actions securely. Verify that the GitLab instance configuration allows external automation before deploying this skill in a production environment.