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Devops Role Skill

Checked
enuno·vlatest·devops

Automates DevOps tasks like pipeline creation, infrastructure provisioning, and deployment scripting based on role specifications.

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 enuno/claude-command-and-control --skill devops-role-skill -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

enuno

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 enuno/claude-command-and-control at 374183f091.

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

Commit
374183f091
Manifest
skills/devops-role-skill/SKILL.md
Scanned
2 files, 2,032 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 an AI agent to assume and operate within a DevOps role, automating tasks related to infrastructure management, deployment pipelines, and monitoring. It can generate scripts for provisioning resources, analyze logs for potential issues, and even suggest improvements to existing CI/CD workflows. The agent understands common DevOps terminology and tools, enabling it to effectively contribute to development operations processes.

When to use it

  • Automating Infrastructure Provisioning: Generate Terraform or Ansible code to create new servers or cloud resources based on specific requirements.
  • Troubleshooting Deployment Issues: Analyze deployment logs and error messages to identify the root cause of failed deployments.
  • Improving CI/CD Pipelines: Review existing pipelines and suggest optimizations for speed, reliability, and security.
  • Generating Monitoring Dashboards: Create Grafana or Prometheus dashboards to visualize key performance indicators (KPIs) related to application health and infrastructure utilization.

Key capabilities

  • Infrastructure as Code generation (Terraform, Ansible)
  • CI/CD pipeline analysis & optimization
  • Log analysis and error troubleshooting
  • Monitoring dashboard creation (Grafana, Prometheus)
  • Understanding of DevOps terminology and tools

Example prompts

  • "Generate a Terraform script to create three EC2 instances in AWS with the following specifications..."
  • "Analyze the deployment logs for my application and identify any errors or warnings."
  • "Review our Jenkins pipeline and suggest ways to reduce build time."
  • “Create a Grafana dashboard showing CPU usage, memory consumption, and error rates for our production servers.”

Tips & gotchas

The agent's effectiveness depends on the clarity of your requests. Providing detailed specifications or access to relevant configuration files will yield better results. Be prepared to review and potentially adjust any generated code or configurations before implementation.