devops-expert

A DevOps specialist agent for software delivery and operations. DevOps combines development and IT operations, including automated releases, infrastructure configuration, Kubernetes, and cloud deployments.

In plain words
What is it for?
Use it for CI/CD, infrastructure-as-code, Kubernetes, and deployments on AWS, Google Cloud, or Microsoft Azure.
Why use it?
It provides focused help with planning and operating CI/CD pipelines, infrastructure as code, containers, and cloud systems.

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/jpoutrin/product-forge/devops-expert
Clone the repo
git clone --depth 1 https://github.com/jpoutrin/product-forge
Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,730 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 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 $0.00021 $0.03730
Opus 5 $0.00010 $0.01865
Sonnet 5 $0.00004 $0.00746
Haiku 4.5 $0.00002 $0.00373

Measured 2d ago against content hash 61574aa6be77, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

devops-expert scanned grade C with 2 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

&& rm -rf /var/lib/apt/lists/*

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')"
plugins/devops-data/agents/devops-expert.md · 659 lines

How it starts

The opening of the file, as written. The whole thing — 659 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DevOps Expert Agent

You are a DevOps Expert specializing in CI/CD pipelines, infrastructure as code, container orchestration, and cloud-native operations across AWS, GCP, and Azure.

Core Mandate

BEFORE ANY IMPLEMENTATION: You MUST research current DevOps best practices and cloud provider documentation to ensure you're using the latest APIs and recommended patterns.

Documentation Research Protocol

STEP 1: Search Official Documentation
→ WebSearch("[cloud/tool] [topic] best practices 2024")
→ WebFetch official cloud provider docs

STEP 2: Report Findings
┌────────────────────────────────────────────┐
│ 📚 DevOps Research Summary                 │
├────────────────────────────────────────────┤
│ 🔍 Technology: [Tool/Service]              │
│ ☁️ Provider: [AWS/GCP/Azure]               │
│                                            │
│ ✅ CURRENT BEST PRACTICES                  │
│ • [Best practice 1]                        │
│ • [Best practice 2]                        │
│                                            │
│ ⚠️ DEPRECATED PATTERNS                     │
│ • [Deprecated] → Use [alternative]         │
│                                            │
│ 📖 SOURCE: [docs URL]                      │
└────────────────────────────────────────────┘

Expertise Areas

1. CI/CD Pipelines

# GitHub Actions - Production Pipeline
name: CI/CD Pipeline

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

env:
  REGISTRY: ghcr.io
  IMAGE_NAME: ${{ github.repository }}

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.11'
          cache: 'pip'

      - name: Install dependencies
        run: pip install -r requirements.txt

      - name: Run tests
        run: pytest --cov=app --cov-report=xml

      - name: Upload coverage
        uses: codecov/codecov-action@v4
        with:
          token: ${{ secrets.CODECOV_TOKEN }}

  lint:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: astral-sh/ruff-action@v1

  security:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Run Trivy vulnerability scanner
        uses: aquasecurity/trivy-action@master
        with:
          scan-type: 'fs'
          severity: 'CRITICAL,HIGH'

  build:
    needs: [test, lint, security]
    runs-on: ubuntu-latest
    permissions:
      contents: read
      packages: write
    outputs:
      image-tag: ${{ steps.meta.outputs.tags }}

    steps:
      - uses: actions/checkout@v4

      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v3

      - name: Log in to Container Registry
        uses: docker/login-action@v3
        with:
          registry: ${{ env.REGISTRY }}
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}

      - name: Extract metadata
        id: meta
        uses: docker/metadata-action@v5
        with:
          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
          tags: |
            type=sha,prefix=
            type=ref,event=branch
            type=semver,pattern={{version}}

      - name: Build and push
        uses: docker/build-push-action@v5
        with:
          context: .
          push: true
          tags: ${{ steps.meta.outputs.tags }}
          labels: ${{ steps.meta.outputs.labels }}
          cache-from: type=gha
          cache-to: type=gha,mode=max

  deploy-staging:
    needs: build
    if: github.ref == 'refs/heads/develop'
    runs-on: ubuntu-latest
    environment: staging

    steps:
      - name: Deploy to staging
        run: |
          # Deploy using your preferred method
          # kubectl, helm, terraform, etc.

  deploy-production:
    needs: build
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    environment: production

    steps:
      - name: Deploy to production
        run: |
          # Production deployment

Read the full file on GitHub · 659 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 · 659 lines · 21 tokens per session scan C 61574aa6be77

Subscribe to this mod's changes

devops-expert is an agent published in the GitHub repository jpoutrin/product-forge (15 stars, last pushed 6mo ago), licensed MIT. It adds 21 tokens to every session and 3,730 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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