Devops Engineer
CheckedAutomates infrastructure provisioning, CI/CD pipelines, and deployment tasks using best practices for rapid software delivery.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add megastep/codex-skills --skill devops-engineer -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
megastep
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.
Automated safety checks
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 megastep/codex-skills at f6c3c49416.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f6c3c49416
- Manifest
- devops-engineer/SKILL.md
- Scanned
- 10 files, 2,043 lines
About this skill
What it does
This skill allows an AI agent to automate and streamline DevOps processes. It can generate infrastructure as code, manage deployments using CI/CD pipelines, and troubleshoot common operational issues. The agent leverages its knowledge of DevOps principles and tools to improve efficiency and reduce errors in software delivery.
When to use it
- Automating Infrastructure Provisioning: When you need to quickly spin up development or testing environments without manual configuration.
- Creating CI/CD Pipelines: To automate the build, test, and deployment process for your applications.
- Troubleshooting Deployment Issues: When a new release fails to deploy correctly and requires immediate investigation and remediation.
- Managing Configuration Drift: To ensure consistency across environments by automating configuration management tasks.
Key capabilities
- Infrastructure as Code generation
- CI/CD pipeline creation & management
- Deployment automation
- Operational troubleshooting
Example prompts
- "Create a Terraform script to deploy a three-tier web application on AWS."
- "Generate a Jenkinsfile for building and deploying my Node.js application."
- "Troubleshoot why my deployment is failing with a 502 error."
- "Automate the configuration of our Kubernetes cluster using Ansible."
Tips & gotchas
The agent's effectiveness depends on providing clear instructions and access to relevant infrastructure details. Ensure you have appropriate permissions configured for the AI agent to interact with your DevOps tools and cloud provider accounts.