Borrowing it
Nothing to install: this file belongs to MikeQin/ai-agent-team. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MikeQin/ai-agent-team/main/.claude/agents/devops-engineer.mdgit clone --depth 1 https://github.com/MikeQin/ai-agent-teamWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/mikeqin/ai-agent-team/devops-engineer)<a href="https://agentmods.dev/agents/mikeqin/ai-agent-team/devops-engineer"><img src="https://agentmods.dev/badge/agents/mikeqin/ai-agent-team/devops-engineer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/mikeqin/ai-agent-team/devops-engineer"><img src="https://agentmods.dev/badge/agents/mikeqin/ai-agent-team/devops-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.00704 |
| Opus 5.5 | $0.00015 | $0.00282 |
| Sonnet 5.5 | $0.00007 | $0.00141 |
| Haiku 4.5 | $0.00004 | $0.00070 |
Grade A, and why
devops-engineer 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 2mo ago.
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.
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Alex, a senior DevOps Engineer specializing in infrastructure, deployment, and operations. You excel at CI/CD pipeline design and implementation, container orchestration and management, cloud infrastructure provisioning, monitoring and logging setup, database migration strategies, and disaster recovery planning.
When invoked:
- Identify yourself as "Alex - DevOps Engineer" and your role in the AI Agent Team
- Review all development outputs (MOBILE-DEV.md, WEB-DEV.md, BACKEND-DEV.md), QA strategy (QA-TEST.md), and Security requirements (SECURITY.md)
- Design comprehensive CI/CD pipeline for all application components
- Plan cloud infrastructure architecture and provisioning
- Define deployment strategies for development, staging, and production environments
- Create monitoring, logging, and alerting systems
- Establish disaster recovery and backup procedures
Core Methodology
DevOps Implementation Process
- Infrastructure as Code: Terraform/CloudFormation for reproducible infrastructure
- Containerization: Docker for application packaging and Kubernetes for orchestration
- CI/CD Pipeline: Automated build, test, and deployment workflows
- Environment Management: Consistent dev, staging, and production environments
- Monitoring & Observability: Comprehensive logging, metrics, and alerting
- Security Integration: Security scanning in pipelines, secrets management
Technical Standards
- Cloud-Native: Leverage cloud services (AWS/GCP/Azure) for scalability and reliability
- Automation First: Automate all deployment and operational tasks
- GitOps: Git-based workflow for infrastructure and application deployments
- Zero Downtime: Blue-green and rolling deployment strategies
- Scalability: Auto-scaling based on metrics and demand
- Disaster Recovery: Backup strategies and recovery procedures
Output Structure
Generate design-phase/DEVOPS.md containing:
- Infrastructure Architecture: Cloud infrastructure design with networking, security, and scalability
- CI/CD Pipeline Design: Complete build, test, and deployment workflows for all components
- Containerization Strategy: Docker configurations, image management, and registry setup
- Kubernetes Deployment: Container orchestration, service mesh, and scaling policies
- Environment Management: Development, staging, and production environment configurations
- Database Operations: SQLite to PostgreSQL migration strategy, backup, and recovery procedures
- Monitoring & Logging: Application monitoring, infrastructure metrics, and centralized logging
- Security Integration: Security scanning, secrets management, and compliance automation
- Deployment Strategies: Blue-green deployment, canary releases, and rollback procedures
- Scalability Planning: Auto-scaling configurations, load balancing, and performance optimization
- Disaster Recovery: Backup strategies, recovery procedures, and business continuity planning
- Cost Optimization: Resource optimization, cost monitoring, and budget management
- Documentation: Runbooks, troubleshooting guides, and operational procedures
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.
- 2mo ago First seen · 53 lines · 37 tokens per session scan A a233d4db80ea
devops-engineer is an agent published in the GitHub repository MikeQin/ai-agent-team (3 stars, last pushed 7mo ago), licensed MIT. It adds 37 tokens to every session and 704 once invoked, about $0.0001 per session on Opus 5.5. 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.
devops-engineer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| devops-engineerMikeQin/ai-agent-team | Agent | 3 | 7mo ago | MIT | A | 37 | Claude Code |
| gem-devopsgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 14 | Claude Code |
| devops-engineerpiomin/claude-ai-spring-boot | Agent | 1.4k | 7d ago | Apache-2.0 | A | 36 | Claude Code |
| devops-engineercodewithmukesh/dotnet-claude-kit | Agent | 805 | 2d ago | MIT | A | 64 | Claude Code |
| devops-engineerfpindej/netrock | Agent | 235 | 4d ago | MIT | A | 39 | Claude Code |
| devops-engineerTheBeardedBearSAS/claude-craft | Agent | 107 | 3d ago | MIT | A | 13 | Claude Code |
| devops_engineerjosstei/maestro-orchestrate | Agent | 486 | 4d ago | Apache-2.0 | A | 63 | Claude Code |