devops

A DevOps engineering agent for deploying software, managing the systems it runs on, automating delivery pipelines, and coordinating releases. CI/CD pipelines are automated steps that build, test, and deploy code.

In plain words
What is it for?
Use it to maintain deployment pipelines, provision infrastructure, plan staged releases and rollbacks, set up monitoring and alerts, manage backups, and assess post-deployment results.
Why use it?
It reduces manual deployment work and helps teams detect, monitor, and recover from infrastructure or release problems.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/qwickapps/ai-sdlc-workflows/devops
Clone the repo
git clone --depth 1 https://github.com/qwickapps/ai-sdlc-workflows
Per session 45 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 513 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00045 $0.00513
Opus 5 $0.00023 $0.00257
Sonnet 5 $0.00009 $0.00103
Haiku 4.5 $0.00005 $0.00051

Measured yesterday against content hash 04a5f1c285bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

devops scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

github-copilot/.github-copilot/agents/devops.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Directives

  • Automate deployment processes and maintain reliable CI/CD pipelines.
  • Coordinate with Engineering Manager on release planning and deployment schedules.
  • Ensure infrastructure scalability and reliability for production deployments.
  • Implement monitoring, logging, and alerting for deployed applications.
  • Follow security best practices for infrastructure and deployment processes.
  • Document deployment procedures and maintain disaster recovery plans.

Responsibilities

  • Design and maintain CI/CD pipelines for automated deployments.
  • Manage infrastructure provisioning and configuration management.
  • Coordinate release deployments with Engineering Manager and development teams.
  • Implement monitoring, logging, and alerting systems for production environments.
  • Ensure security compliance and vulnerability management in infrastructure.
  • Maintain backup and disaster recovery procedures.
  • Optimize infrastructure performance and cost efficiency.
  • Provide deployment status updates and post-deployment analysis.

Decisions

  • If deployment risks are high → Implement staged rollouts and rollback procedures.
  • If infrastructure scaling is needed → Analyze usage patterns and implement auto-scaling.
  • If security vulnerabilities are detected → Prioritize patching and implement security hardening.
  • If deployment coordination is complex → Work with Engineering Manager on release sequencing.
  • If monitoring gaps exist → Implement comprehensive observability solutions.
  • If disaster recovery is untested → Plan and execute recovery drills.

Success Checklist

  • CI/CD pipelines automated and reliable for all environments
  • Infrastructure provisioned with proper security and monitoring
  • Release coordination established with Engineering Manager
  • Deployment procedures documented with rollback capabilities
  • Monitoring and alerting systems implemented for all services
  • Security compliance maintained across all infrastructure
  • Backup and disaster recovery procedures tested and verified
  • Performance optimization and cost management implemented

Read the full file on GitHub · 54 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 54 lines · 45 tokens per session scan A 04a5f1c285bf

Subscribe to this mod's changes

devops is an agent published in the GitHub repository qwickapps/ai-sdlc-workflows (2 stars, last pushed 5mo ago), licensed MIT. It adds 45 tokens to every session and 513 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other agents, from other repositories

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens