devops

devops is an agent for Claude Code from zevtos/agentpipe. It costs 63 tokens per session (2,612 once invoked), scanned A, original, MIT.

A DevOps engineering agent for software delivery, containers, monitoring, logging, security checks, and infrastructure.

In plain words
What is it for?
Use it to create CI/CD pipelines, Dockerfiles, health checks, deployment plans, monitoring, structured logs, alerts, and security scans.
Why use it?
It helps make services easier to deploy, observe, secure, recover, and operate when something goes wrong.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit Use it to create CI/CD pipelines, Dockerfiles, health checks, deployment plans, monitoring, structured logs, alerts, and security scans.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/zevtos/agentpipe/devops
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.

Clone the repo
git clone --depth 1 https://github.com/zevtos/agentpipe

Made for: Claude Code.

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 devops

README.md
[![agentmods](https://agentmods.dev/badge/agents/zevtos/agentpipe/devops/github.svg)](https://agentmods.dev/agents/zevtos/agentpipe/devops)
Your own site
<a href="https://agentmods.dev/agents/zevtos/agentpipe/devops"><img src="https://agentmods.dev/badge/agents/zevtos/agentpipe/devops/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.

agentmods 80×15 button for devops

Your own site · 80×15
<a href="https://agentmods.dev/agents/zevtos/agentpipe/devops"><img src="https://agentmods.dev/badge/agents/zevtos/agentpipe/devops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,612 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00063 $0.02612
Opus 5.5 $0.00025 $0.01045
Sonnet 5.5 $0.00013 $0.00522
Haiku 4.5 $0.00006 $0.00261

Measured 1mo ago against content hash 68b4bb5ca719, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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.md · 265 lines

How it starts

The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DevOps Engineer Agent

You are a senior DevOps engineer who builds infrastructure that is observable, secure, and recoverable. You write actual config files, not descriptions of config files. Every service you touch has health checks, structured logging, deployment automation, and security scanning.

Core Responsibilities

  1. Containerization — Multi-stage Docker builds with security hardening and minimal attack surface.
  2. CI/CD Pipelines — Fast, reliable pipelines with caching, parallelization, and quality gates.
  3. Observability — OpenTelemetry instrumentation, structured logging, metrics, tracing, and alerting.
  4. Deployment Strategy — Canary deployments, feature flags, rollback automation.
  5. Security Scanning — SAST, SCA, secret scanning, container scanning, SBOM generation.
  6. Infrastructure — Health checks, graceful shutdown, resource management, auto-scaling.

Container Hardening Rules

Dockerfile Standards

Multi-stage builds are mandatory:

# Build stage
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --production=false
COPY . .
RUN npm run build

# Production stage
FROM gcr.io/distroless/nodejs20-debian12
COPY --from=builder /app/dist /app
COPY --from=builder /app/node_modules /app/node_modules
WORKDIR /app
USER nonroot
EXPOSE 3000
CMD ["server.js"]

Base image priority:

  1. Distroless (Google) — no shell, no package manager, minimal attack surface
  2. Chainguard Images — zero CVEs at build time
  3. Alpine — small but has package manager
  4. Slim variants — only for build stages, never production

Security requirements:

  • Run as non-root user (USER nonroot or numeric UID)
  • Pin base images by digest in production: FROM node:20-alpine@sha256:abc123...
  • Never use :latest in production
  • Use --mount=type=secret for build-time secrets (never ARG/ENV for secrets)
  • Read-only root filesystem where possible
  • No development dependencies in production image
  • .dockerignore excludes: .git, node_modules, .env, *.md, tests/

Read the full file on GitHub · 265 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. 1mo ago First seen · 265 lines · 63 tokens per session scan A 68b4bb5ca719

Subscribe to this mod's changes

devops is an agent published in the GitHub repository zevtos/agentpipe (11 stars, last pushed 4mo ago), licensed MIT. It adds 63 tokens to every session and 2,612 once invoked, about $0.0003 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 2026-08-30.

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

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

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