Skip to content
TrustedSkillsbeta
Back to all skills

Gitlab

Listed
odyssey4me·vlatest·backend·Apache-2.0

This skill integrates with GitLab for seamless CI/CD pipeline management and deployment automation, boosting developer efficiency.

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 odyssey4me/agent-skills --skill gitlab -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

odyssey4me

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.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: hooks.slack.com.

    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.

    Hosts contacted

    hooks.slack.comundeclaredgitlab.comsource host

    What it found

    • skills/gitlab/references/common-workflows.md:402contacts hooks.slack.com
      curl -X POST https://hooks.slack.com/services/YOUR/WEBHOOK/URL \
  • 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 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 odyssey4me/agent-skills at dfc71687b5.

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

Scanned
4 files, 1,509 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 skill enables AI agents to interact directly with the GitLab platform, allowing them to manage repositories, review code changes, and handle CI/CD pipelines autonomously. It bridges the gap between human developers and automated workflows by translating natural language commands into specific GitLab API actions.

When to use it

  • Automating routine repository tasks like creating branches or merging pull requests based on defined criteria.
  • Triggering and monitoring continuous integration (CI) jobs without manual intervention.
  • Performing code reviews or commenting on merge requests programmatically.
  • Managing project settings, labels, or issue tracking within a GitLab instance.

Key capabilities

  • Repository management (create, delete, clone).
  • Merge request creation and approval workflows.
  • CI/CD pipeline execution and status monitoring.
  • Issue and milestone tracking.
  • Code comment integration.

Example prompts

  • "Create a new branch from main named feature/login-fix and push it to the remote repository."
  • "Trigger the 'deploy-staging' pipeline for project web-app and wait for the result."
  • "Add a comment to merge request #42 suggesting a unit test for the new authentication logic."

Tips & gotchas

Ensure your AI agent has valid API tokens with the necessary scopes (e.g., read_repository, write_repository) before attempting operations. The skill relies on the underlying GitLab REST API, so rate limits and version compatibility of the target GitLab instance may affect performance.