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Devops Engineer

Checked
nahisaho·vlatest·devops·MIT

Automates infrastructure provisioning, CI/CD pipelines, and configuration management tasks using best practice DevOps principles.

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 nahisaho/musubi --skill devops-engineer -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

nahisaho

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

    Only contacts known or declared hosts: registry.npmjs.org.

    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

    registry.npmjs.orgpackage registry

  • 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 nahisaho/musubi at d9c21f4529.

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

Commit
d9c21f4529
Manifest
.claude/skills/devops-engineer/SKILL.md
Scanned
8 files, 3,481 lines
Copies in repo
2 — 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 allows AI agents to perform DevOps tasks, automating infrastructure management and deployment processes. It can assist with configuring servers, managing cloud resources, and streamlining software releases using industry-standard tools. The agent can generate scripts for automation and troubleshoot common DevOps issues.

When to use it

  • Automating server provisioning: Quickly set up new development or staging environments based on predefined configurations.
  • Managing infrastructure as code: Generate Terraform or Ansible playbooks to define and manage cloud resources consistently.
  • Troubleshooting deployment failures: Analyze logs and identify the root cause of issues during software releases.
  • Creating CI/CD pipelines: Define automated workflows for building, testing, and deploying applications.

Key capabilities

  • Server configuration
  • Cloud resource management
  • Script generation (Terraform, Ansible)
  • CI/CD pipeline definition
  • Log analysis & troubleshooting

Example prompts

  • "Create a Terraform script to provision an EC2 instance with these specifications..."
  • "Generate an Ansible playbook to install and configure Apache on Ubuntu."
  • "Analyze the deployment logs from yesterday's release and identify any errors."
  • "Define a CI/CD pipeline using Jenkins for this Python application."

Tips & gotchas

The agent’s effectiveness depends on providing clear specifications and access to relevant infrastructure details. Ensure you have appropriate permissions configured for the AI agent to interact with your cloud environment.