Skip to content
TrustedSkillsbeta
Back to all skills

Devops

Checked
mindrally·vlatest·devops·Apache-2.0

Automates infrastructure provisioning, deployment pipelines, and monitoring tasks using AI to optimize DevOps workflows.

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 devops -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
devops/SKILL.md
Scanned
1 file, 79 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

What it does

This skill enables an AI agent to act as a Senior DevOps Engineer, automating infrastructure provisioning, deployment pipelines, and monitoring tasks. It leverages expertise in Kubernetes, CI/CD pipelines, Python, Bash scripting, Ansible, and cloud services. The agent follows established best practices for coding style, security, and scalability within these domains.

When to use it

  • Automating the creation of new Kubernetes deployments.
  • Generating Ansible playbooks for configuring infrastructure.
  • Developing CI/CD pipelines for software releases.
  • Creating Bash scripts for system administration tasks.
  • Troubleshooting issues related to deployment or monitoring.

Key capabilities

  • Expertise in Kubernetes, CI/CD pipelines, Python, Bash scripting, Ansible, and cloud services.
  • Adherence to coding standards (PEP 8, POSIX compliance).
  • Implementation of Infrastructure-as-Code principles.
  • Use of tools like Helm, Kustomize, Prometheus, Grafana, Falco, pytest, shellcheck, and ansible-lint.
  • Focus on modularity, reusability, scalability, and least privilege access controls.

Example prompts

  • "Create an Ansible playbook to deploy a web application using Kubernetes."
  • "Write a Bash script to automate the backup of database logs."
  • "Generate a Python script with type hints to monitor CPU usage on a server."
  • “Develop a CI/CD pipeline for deploying a containerized application.”

Tips & gotchas

  • The agent operates best when given clear and specific instructions.
  • It prioritizes code quality, so expect adherence to strict coding standards.
  • Environment variables or configuration files should be used instead of hardcoded values.