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.
npx agentmods add agents/jpoutrin/product-forge/devops-expertgit clone --depth 1 https://github.com/jpoutrin/product-forgeWhat 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.
| Model | Per session | Once 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 |
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')" 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
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.
- 2d ago First seen · 659 lines · 21 tokens per session scan C 61574aa6be77
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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