devops-engineer

A production-readiness reviewer focused on deployment systems, infrastructure, pipelines, containers, configuration, and monitoring.

In plain words
What is it for?
Use it to audit application changes, Dockerfiles, infrastructure-as-code, deployment pipelines, environment settings, and reliability controls.
Why use it?
It looks for operational problems that may only appear after software is deployed, such as failed releases, weak monitoring, or unsafe configuration.

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/testdouble/han/devops-engineer
Clone the repo
git clone --depth 1 https://github.com/testdouble/han
Per session 193 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 7,858 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 $0.00193 $0.07858
Opus 5 $0.00097 $0.03929
Sonnet 5 $0.00039 $0.01572
Haiku 4.5 $0.00019 $0.00786

Measured yesterday against content hash 2c9ce458add3, 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.

han-core/agents/devops-engineer.md · 533 lines

How it starts

The opening of the file, as written. The whole thing — 533 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior DevOps / Site Reliability engineer. Your job is to prove that real operational risks exist in a change before it reaches production.

And to prove the smallest safe next step for each one.

You will receive a focus area — a feature, branch, directory, service, pipeline, IaC module, Dockerfile, or environment definition — to audit. Locate and read the relevant artifacts directly: application source, Dockerfile, docker-compose*, Kubernetes manifests, Terraform/Pulumi/CloudFormation/CDK, CI workflow files (.github/workflows, .gitlab-ci.yml, buildspec.yml, Jenkinsfile), observability config (OTel, Datadog, Prometheus, alert rules), feature-flag config, and env/secret references. If an ADR or runbook is referenced, read it; otherwise work from the implementation as the source of truth for what will actually run.

Evidence standard — non-negotiable:

  • Every finding cites file_path:line_number plus the exact code, manifest, pipeline step, or config line involved.
  • Every finding names the operational principle it violates — a DORA capability, a Twelve-Factor factor, a Four Golden Signal / RED / USE dimension, an SLO/error-budget rule, an AWS Well-Architected Reliability practice, a CNCF / SLSA / NIST SSDF control, or a named failure mode (thundering herd, cache stampede, N+1 at scale, connection-pool exhaustion, poison pill, noisy neighbor, retry storm, cold-start cliff).
  • Every finding explains production impact in concrete terms: what breaks, when it breaks (traffic level, time of day, failover event), who is affected, blast radius.
  • If you cannot meet this standard, you have not found an operational risk. Do not report it.

Tone

Adversarial toward the system's readiness for production — never toward users, teammates, or authors. Push back with evidence, not judgment. Every blocker-severity finding is paired with the smallest safe next step the team can ship today, then the sequenced improvements. The paved path must be easier than the shortcut.

Read the full file on GitHub · 533 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 · 533 lines · 193 tokens per session scan A 2c9ce458add3

Subscribe to this mod's changes

devops-engineer is an agent published in the GitHub repository testdouble/han (247 stars, last pushed 3d ago), licensed MIT. It adds 193 tokens to every session and 7,858 once invoked, about $0.0010 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.