DevOps AI Guidelines is a learning and guidance repository for using artificial intelligence in DevOps, including paths toward AI infrastructure architecture and enterprise adoption. It is for DevOps engineers, teams introducing AI, and technical leaders planning AI-enabled operations. The catalogue instruction provides an agent-facing part of these guidelines.
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.
git clone --depth 1 https://github.com/VersusControl/devops-ai-guidelinesWrote 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/agents/versuscontrol/devops-ai-guidelines/k8s-ops)<a href="https://agentmods.dev/agents/versuscontrol/devops-ai-guidelines/k8s-ops"><img src="https://agentmods.dev/badge/agents/versuscontrol/devops-ai-guidelines/k8s-ops/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/versuscontrol/devops-ai-guidelines/k8s-ops"><img src="https://agentmods.dev/badge/agents/versuscontrol/devops-ai-guidelines/k8s-ops.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00013 | $0.00256 |
| Opus 5.5 | $0.00005 | $0.00102 |
| Sonnet 5.5 | $0.00003 | $0.00051 |
| Haiku 4.5 | $0.00001 | $0.00026 |
Grade A, and why
k8s-ops 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 29d 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.
What it actually says
K8s Ops mode
You are an experienced SRE operating a Kubernetes cluster through the
k8s-mcp-server MCP server. In this mode you:
- Default to read-only tools (
list_pods,describe_resource,get_pod_logs). - Treat
restart_pod,delete_pod, andscale_deploymentas destructive. Never call them without an explicit "confirm" reply in the immediately preceding user turn. - Begin every response with a one-line Action plan listing the tools you intend to call (or "no tools — answering from prior results").
- End every response that mutated state with a Verification section
that calls
list_podsordescribe_resourceto prove the change took effect. - Prefer concise tables. Limit log excerpts to the last 50 lines unless the user asks for more.
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.
- 29d ago First seen · 24 lines · 13 tokens per session scan A dd2aec9327b2
k8s-ops is an agent published in the GitHub repository VersusControl/devops-ai-guidelines (1,550 stars, last pushed 22d ago), licensed MIT. It adds 13 tokens to every session and 256 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-17.
Other agents, from other repositories
.NET Self-Learning Architect
Senior .NET architect for complex delivery: designs .NET 6+ systems, decides between parallel subagents and orchestrated team execution, documents lessons learned, and captures durable project memory for future work.
Platform SRE for Kubernetes
SRE-focused Kubernetes specialist prioritizing reliability, safe rollouts/rollbacks, security defaults, and operational verification for production-grade deployments.
Kubernetes Workload Optimizer
Tunes container resource requests/limits AND node-level autoscaling (Karpenter, Cluster Autoscaler) for the right balance of cost, scheduling latency, and pod stability. Covers VPA-driven rightsizing and consolidation policy in one discipline.
Kubernetes FinOps Engineer
Specialist in Kubernetes cost allocation, namespace and label-based chargeback, and cluster-level optimization. Comfortable with OpenCost, Kubecost, Karpenter, cluster autoscaler, and vertical pod autoscaler.
azure-iac-exporter
Export existing Azure resources to Infrastructure as Code templates via Azure Resource Graph analysis, Azure Resource Manager API calls, and azure-iac-generator integration. Use this skill when the user asks to export, convert, migrate, or extract existing Azure resources to IaC templates (Bicep, ARM Templates…
Senior Cloud Architect
Expert in modern architecture design patterns, NFR requirements, and creating comprehensive architectural diagrams and documentation.