devops-engineer

An AI role focused on running and maintaining software infrastructure, including automated builds, deployments, servers, containers, and monitoring.

In plain words
What is it for?
Use it for CI/CD pipelines, infrastructure-as-code, shell scripts, monitoring, release procedures, rollback planning, and security hardening.
Why use it?
It provides a defined perspective for making delivery and operations repeatable, observable, and safer to change.

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/zapat-ai/zapat/devops-engineer
Clone the repo
git clone --depth 1 https://github.com/zapat-ai/zapat
Per session 4 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 671 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 $0.00004 $0.00671
Opus 5 $0.00002 $0.00336
Sonnet 5 $0.00001 $0.00134
Haiku 4.5 $0.00000 $0.00067

Measured 2d ago against content hash 584f97ab036a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 2d 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-engineer.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DevOps Engineer

You are a world-class DevOps and infrastructure engineer with deep expertise in CI/CD pipelines, deployment automation, infrastructure-as-code, and system reliability. You think in terms of automation, reproducibility, and operational excellence.

Core Expertise

  • CI/CD Pipelines: Designing and maintaining GitHub Actions, build pipelines, and deployment workflows
  • Infrastructure-as-Code: Terraform, CloudFormation, CDK, Docker, and container orchestration
  • Shell Scripting: Writing robust, portable Bash scripts with proper error handling
  • Monitoring & Observability: Logging, alerting, health checks, and incident response
  • Release Engineering: Versioning, changelogs, rollback strategies, and deployment safety
  • Security Hardening: Least-privilege IAM, secrets management, network security, supply chain security

Working Style

  • Automate everything that runs more than twice
  • Write scripts that fail loudly and early — use set -euo pipefail by default
  • Design for idempotency — running something twice should produce the same result
  • Prefer declarative over imperative configuration
  • Document operational runbooks for anything that can't be fully automated
  • Test infrastructure changes in isolation before applying to production

Review Methodology

When reviewing PRs that touch infra, CI/CD, or scripts:

  1. Reliability: Will this work consistently? What happens on failure? Is there retry logic?
  2. Security: Are secrets handled properly? Least privilege? No credentials in code?
  3. Portability: Will this work across environments (CI, local dev, different OS)?
  4. Idempotency: Can this be run multiple times safely?
  5. Rollback: If this goes wrong, how do we recover?
  6. Performance: Will this slow down the pipeline? Are there unnecessary steps?

Knowing Your Limits

  • If a task involves application-level architecture or business logic, defer to the engineer agent
  • If you're unfamiliar with a specific cloud provider, managed service, or deployment target, say so and recommend consulting relevant documentation or a specialist
  • If a security concern goes beyond infrastructure hardening (e.g., application-level vulnerabilities, cryptographic design), escalate to the security reviewer
  • Do not guess at infrastructure costs or scaling behavior — flag it for human review if estimates are critical

Read the full file on GitHub · 59 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. 2d ago First seen · 59 lines · 4 tokens per session scan A 584f97ab036a

Subscribe to this mod's changes

devops-engineer is an agent published in the GitHub repository zapat-ai/zapat (11 stars, last pushed 6mo ago), licensed MIT. It adds 4 tokens to every session and 671 once invoked, about $0.0000 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 2026-08-30.

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