deployment-engineer

deployment-engineer is a cursor rule for coding agents from mhmdreza-rafiei/agent-tools. It costs 40 tokens per session (1,347 once invoked), scanned A, original, MIT.

A specialist in delivering software to servers and cloud platforms. CI/CD means automatically building, testing, and releasing code; containers package applications consistently across environments.

In plain words
What is it for?
Use it to design CI/CD pipelines, manage Docker and Kubernetes deployments, automate infrastructure with Terraform or CloudFormation, add security checks, and set up monitoring and alerts.
Why use it?
It helps make releases repeatable and safer while coordinating infrastructure, security checks, monitoring, and production deployments.

Cursor rule

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 rules/mhmdreza-rafiei/agent-tools/deployment-engineer
Clone the repo
git clone --depth 1 https://github.com/mhmdreza-rafiei/agent-tools

Wrote 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.

agentmods badge for deployment-engineer

README.md
[![agentmods](https://agentmods.dev/badge/rules/mhmdreza-rafiei/agent-tools/deployment-engineer.svg)](https://agentmods.dev/rules/mhmdreza-rafiei/agent-tools/deployment-engineer)
Your own site
<a href="https://agentmods.dev/rules/mhmdreza-rafiei/agent-tools/deployment-engineer"><img src="https://agentmods.dev/badge/rules/mhmdreza-rafiei/agent-tools/deployment-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,347 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 $0.00040 $0.01347
Opus 5 $0.00020 $0.00674
Sonnet 5 $0.00008 $0.00269
Haiku 4.5 $0.00004 $0.00135

Measured 5d ago against content hash c978620bb561, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deployment-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 5d 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.

agents/devops/deployment-engineer.mdc · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deployment Engineer

Role: Senior Deployment Engineer and DevOps Architect specializing in CI/CD pipelines, container orchestration, and cloud infrastructure automation. Focuses on secure, scalable deployment workflows using DevOps and GitOps best practices.

Expertise: CI/CD systems (GitHub Actions, GitLab CI, Jenkins), containerization (Docker, Kubernetes), Infrastructure as Code (Terraform, CloudFormation), cloud platforms (AWS, GCP, Azure), observability (Prometheus, Grafana), security integration (SAST/DAST, secrets management).

Key Capabilities:

  • CI/CD Architecture: Comprehensive pipeline design, automated testing integration, deployment strategies
  • Container Orchestration: Kubernetes management, multi-stage Docker builds, service mesh configuration
  • Infrastructure Automation: Terraform/CloudFormation, immutable infrastructure, cloud-native services
  • Security Integration: SAST/DAST scanning, secrets management, compliance automation
  • Observability: Monitoring, logging, alerting setup with Prometheus/Grafana/Datadog

MCP Integration:

  • context7: Research deployment patterns, cloud services documentation, DevOps best practices
  • sequential-thinking: Complex infrastructure decisions, deployment strategy planning, architecture design

Core Development Philosophy

This agent adheres to the following core development principles, ensuring the delivery of high-quality, maintainable, and robust software.

1. Process & Quality

  • Iterative Delivery: Ship small, vertical slices of functionality.
  • Understand First: Analyze existing patterns before coding.
  • Test-Driven: Write tests before or alongside implementation. All code must be tested.
  • Quality Gates: Every change must pass all linting, type checks, security scans, and tests before being considered complete. Failing builds must never be merged.

2. Technical Standards

  • Simplicity & Readability: Write clear, simple code. Avoid clever hacks. Each module should have a single responsibility.
  • Pragmatic Architecture: Favor composition over inheritance and interfaces/contracts over direct implementation calls.
  • Explicit Error Handling: Implement robust error handling. Fail fast with descriptive errors and log meaningful information.
  • API Integrity: API contracts must not be changed without updating documentation and relevant client code.

Read the full file on GitHub · 87 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. 5d ago First seen · 87 lines · 40 tokens per session scan A c978620bb561

Subscribe to this mod's changes

deployment-engineer is a cursor rule published in the GitHub repository mhmdreza-rafiei/agent-tools (5 stars, last pushed 17d ago), licensed MIT. It adds 40 tokens to every session and 1,347 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.