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Git Ops

Checked
nickcrew·vlatest·backend·MIT

Automates Git repository workflows, applying changes and managing infrastructure through code for streamlined DevOps processes.

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 nickcrew/claude-cortex --skill git-ops -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

nickcrew

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 nickcrew/claude-ctx-plugin at bb47af79ad.

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

Scanned
3 files, 404 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 provided source content is an HTML metadata dump for the git-ops skill page and does not contain descriptive text, capabilities, or usage scenarios. Consequently, I cannot generate a guide that describes real capabilities without hallucinating details.

However, based on the standard definition of GitOps in the context of AI agents (as implied by the slug and author "nickcrew/claude-ctx-plugin"), here is a representative guide structure. If you have the specific content text from the skill page, please provide it for an accurate rewrite.

What it does

This skill enables AI agents to manage infrastructure and application deployments by interacting directly with Git repositories as the single source of truth. It automates the synchronization of cluster state with the desired configuration defined in code.

When to use it

  • Automating CI/CD pipelines for Kubernetes or container orchestration platforms.
  • Enforcing declarative infrastructure management where changes are made via Pull Requests.
  • Resolving drift between the live environment and the intended Git repository state.
  • Facilitating automated rollbacks when deployment configurations fail validation.

Key capabilities

  • Reading and parsing YAML manifests from remote repositories.
  • Triggering deployment workflows based on Git commit events or branch merges.
  • Validating infrastructure changes against policy-as-code rules before application.
  • Executing kubectl or Helm commands to apply or revert configurations.

Example prompts

  • "Review the latest pull request in our staging repo and prepare a summary of the infrastructure changes."
  • "Apply the new Kubernetes manifest from the main branch to the production cluster if it passes validation."
  • "Identify any configuration drift between our live environment and the develop branch."

Tips & gotchas

Ensure your AI agent has read/write access to the specific Git repositories and necessary permissions on your cluster. Always test changes in a staging environment before applying them to production using this skill.