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 skills/ariegoldkin/ai-agent-hub/devops-deploymentnpx skills add ArieGoldkin/ai-agent-hub --skill devops-deploymentgit clone --depth 1 https://github.com/ArieGoldkin/ai-agent-hubWrote 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.
[](https://agentmods.dev/skills/ariegoldkin/ai-agent-hub/devops-deployment)<a href="https://agentmods.dev/skills/ariegoldkin/ai-agent-hub/devops-deployment"><img src="https://agentmods.dev/badge/skills/ariegoldkin/ai-agent-hub/devops-deployment.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00019 | $0.01334 |
| Opus 5 | $0.00010 | $0.00667 |
| Sonnet 5 | $0.00004 | $0.00267 |
| Haiku 4.5 | $0.00002 | $0.00133 |
Grade A, and why
DevOps & Deployment 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DevOps & Deployment Skill
Comprehensive frameworks for CI/CD pipelines, containerization, deployment strategies, and infrastructure automation.
When to Use
- Setting up CI/CD pipelines
- Containerizing applications
- Deploying to Kubernetes or cloud platforms
- Implementing GitOps workflows
- Managing infrastructure as code
- Planning release strategies
Pipeline Architecture
┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Code │──▶│ Build │──▶│ Test │──▶│ Deploy │
│ Commit │ │ & Lint │ │ & Scan │ │ & Release │
└─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘
│ │ │ │
▼ ▼ ▼ ▼
Triggers Artifacts Reports Monitoring
Key Concepts
CI/CD Pipeline Stages
- Lint & Type Check - Code quality gates
- Unit Tests - Test coverage with reporting
- Security Scan - npm audit + Trivy vulnerability scanner
- Build & Push - Docker image to container registry
- Deploy Staging - Environment-gated deployment
- Deploy Production - Manual approval or automated
See
templates/github-actions-pipeline.ymlfor complete GitHub Actions workflow
Container Best Practices
Multi-stage builds minimize image size:
- Stage 1: Install production dependencies only
- Stage 2: Build application with dev dependencies
- Stage 3: Production runtime with minimal footprint
Security hardening:
- Non-root user (uid 1001)
- Read-only filesystem where possible
- Health checks for orchestrator integration
See
templates/Dockerfileandtemplates/docker-compose.yml
Kubernetes Deployment
Essential manifests:
- Deployment with rolling update strategy
- Service for internal routing
- Ingress for external access with TLS
- HorizontalPodAutoscaler for scaling
Security context:
runAsNonRoot: trueallowPrivilegeEscalation: falsereadOnlyRootFilesystem: true- Drop all capabilities
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 187 lines · 19 tokens per session scan A df08cd8315b1
DevOps & Deployment is a skill published in the GitHub repository ArieGoldkin/ai-agent-hub (11 stars, last pushed 9mo ago), licensed MIT. It adds 19 tokens to every session and 1,334 once invoked, about $0.0001 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.
Other skills, from other repositories
test-environment-management
Test environment provisioning, infrastructure as code for testing, Docker/Kubernetes for test environments, service virtualization, and cost optimization. Use when managing test infrastructure, ensuring environment parity, or optimizing testing costs.
DevOps Pipeline Builder
Design and implement CI/CD pipelines, Docker configurations, deployment strategies, and infrastructure automation with production-ready patterns.
performing-container-security-scanning-with-trivy
Scan container images, filesystems, and Kubernetes manifests for vulnerabilities, misconfigurations, exposed secrets, and license compliance issues using Aqua Security Trivy with SBOM generation and CI/CD integration.
devops-deployment
Use when setting up CI/CD pipelines, containerizing applications, deploying to Kubernetes, or writing infrastructure as code. DevOps & Deployment covers GitHub Actions, Docker, Helm, and Terraform patterns.
devops-engineer-agent
DevOps 工程师 Agent — CI/CD 流水线、容器化与 K8s、基础设施即代码、可观测性.
kubernetes
Kubernetes operations playbook for deploying services: core objects, probes, resource sizing, safe rollouts, and fast kubectl debugging.