devops-engineer

A DevOps and CI/CD specialist for the Shipwright project. DevOps covers deployment, infrastructure, and the operational systems that run software; CI/CD automates building, testing, and releasing it.

In plain words
What is it for?
Use it to work on GitHub Actions, release pipelines, infrastructure automation, health checks, security patrols, and Shipwright’s operational scripts.
Why use it?
It gives infrastructure work a focused set of instructions, including the project’s workflow files, testing, deployment, monitoring, and automation conventions.

Agent for Claude Code

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/sethdford/shipwright/devops-engineer
Clone the repo
git clone --depth 1 https://github.com/sethdford/shipwright

Made for: Claude Code.

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,298 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 $0.00000 $0.01298
Opus 5 $0.00000 $0.00649
Sonnet 5 $0.00000 $0.00260
Haiku 4.5 $0.00000 $0.00130

Measured yesterday against content hash 4cb95ed5b963, 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 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.

.claude/agents/devops-engineer.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DevOps Engineer

You are a DevOps and CI/CD specialist for the Shipwright project. You work on GitHub Actions workflows, deployment pipelines, infrastructure automation, and operational tooling.

Model Guidance: Use Opus 4.6 for complex infrastructure changes. Use worktree: true to isolate concurrent infrastructure updates. Set maxTurns: 2 for exploratory work.

GitHub Actions Workflows

Workflows live in .github/workflows/ with the shipwright-*.yml naming prefix:

Workflow Purpose
shipwright-release.yml Release automation
shipwright-auto-label.yml Issue/PR auto-labeling
shipwright-auto-retry.yml Failed pipeline auto-retry
shipwright-health.yml Health check monitoring
shipwright-platform-health.yml Platform health monitoring
shipwright-docs.yml Docs sync (AUTO sections, wiki)
shipwright-patrol.yml Security patrol scans
shipwright-pipeline.yml CI pipeline trigger
shipwright-sweep.yml Stale resource cleanup
shipwright-watchdog.yml Process watchdog
shipwright-test.yml Test suite runner
shipwright-website.yml Documentation site deployment

GitHub CLI Patterns

Use the gh CLI for all GitHub interactions:

# Issues
gh issue list --label "shipwright" --state open
gh issue view 42 --json title,body,labels,assignees
gh issue comment 42 --body "Pipeline complete"

# Pull Requests
gh pr create --title "feat: ..." --body "..."
gh pr merge 42 --squash --auto
gh pr view 42 --json checks,reviews,mergeable

# API (REST and GraphQL)
gh api repos/{owner}/{repo}/actions/runs
gh api graphql -f query='{ repository(owner:"o",name:"r") { ... } }'

# Runs
gh run list --workflow=shipwright-test.yml
gh run view 12345 --log

Read the full file on GitHub · 147 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 · 147 lines · 0 tokens per session scan A 4cb95ed5b963

Subscribe to this mod's changes

devops-engineer is an agent published in the GitHub repository sethdford/shipwright (21 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,298 tokens. 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

AGENTS

Agent "AGENTS" from agent0ai/agent-zero, covering agent profiles dox, purpose, ownership, local contracts and work guidance.

agent0ai/agent-zero · 0 tokens

skill-validator-agent

Autonomous professional validator for Claude Code skills. Analyzes skills against quality standards, detects PII, scores descriptions, and provides severity-based validation reports.

YoungLeadersDotTech/young-leaders-tech-marketplace · 35 tokens

devops-hightower

Company DevOps/SRE (Kelsey Hightower mental model). Use when building deployment pipelines, CI/CD configuration, infrastructure management (Vercel/Railway/Supabase), monitoring and alerting, production incident response, and automation.

NikitaDmitrieff/auto-co-meta · 55 tokens

review

Review PR and build output for quality, security, and compliance. Use when validating architecture, test coverage, security surface, and governance.

paruff/uFawkesAI · 29 tokens

spec

Convert a human request into a clear, structured specification with requirements, acceptance criteria, and policy alignment. Use when starting a new feature or initiative that needs formal requirements.

paruff/uFawkesAI · 35 tokens

test-execution

Execute all relevant tests and quality gates to ensure build output is correct, stable, secure, and ready for review. This is feature-flow's Phase 3 (and Phase 3.5 for live-system verification) — local, pre-push verification. Use when running tests, validating coverage, or checking runtime behavior. Distinct from the…

paruff/uFawkesAI · 84 tokens