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 skills add ancoleman/ai-design-components --skill operating-kubernetesgit clone --depth 1 https://github.com/ancoleman/ai-design-componentsWrote 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/ancoleman/ai-design-components/operating-kubernetes)<a href="https://agentmods.dev/skills/ancoleman/ai-design-components/operating-kubernetes"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/operating-kubernetes.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 5.1 | $0.00049 | $0.03395 |
| Opus 5 | $0.00024 | $0.01698 |
| Sonnet 5 | $0.00010 | $0.00679 |
| Haiku 4.5 | $0.00005 | $0.00340 |
Grade A, and why
operating-kubernetes 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 8d 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 — 503 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kubernetes Operations
Purpose
Operating Kubernetes clusters in production requires mastery of resource management, scheduling patterns, networking architecture, storage strategies, security hardening, and autoscaling. This skill provides operations-first frameworks for right-sizing workloads, implementing high-availability patterns, securing clusters with RBAC and Pod Security Standards, and systematically troubleshooting common failures.
Use this skill when deploying applications to Kubernetes, configuring cluster resources, implementing NetworkPolicies for zero-trust security, setting up autoscaling (HPA, VPA, KEDA), managing persistent storage, or diagnosing operational issues like CrashLoopBackOff or resource exhaustion.
When to Use This Skill
Common Triggers:
- "Deploy my application to Kubernetes"
- "Configure resource requests and limits"
- "Set up autoscaling for my pods"
- "Implement NetworkPolicies for security"
- "My pod is stuck in Pending/CrashLoopBackOff"
- "Configure RBAC with least privilege"
- "Set up persistent storage for my database"
- "Spread pods across availability zones"
Operations Covered:
- Resource management (CPU/memory, QoS classes, quotas)
- Advanced scheduling (affinity, taints, topology spread)
- Networking (NetworkPolicies, Ingress, Gateway API)
- Storage operations (StorageClasses, PVCs, CSI)
- Security hardening (RBAC, Pod Security Standards, policies)
- Autoscaling (HPA, VPA, KEDA, cluster autoscaler)
- Troubleshooting (systematic debugging playbooks)
Resource Management
Quality of Service (QoS) Classes
Kubernetes assigns QoS classes based on resource requests and limits:
Guaranteed (Highest Priority):
- Requests equal limits for CPU and memory
- Never evicted unless exceeding limits
- Use for critical production services
resources:
requests:
memory: "512Mi"
cpu: "500m"
limits:
memory: "512Mi" # Same as request
cpu: "500m"
Burstable (Medium Priority):
- Requests less than limits (or only requests set)
- Can burst above requests
- Evicted under node pressure
- Use for web servers, most applications
What ships with it
23 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.
- examples/manifests/hpa-cpu-memory.yaml 1.1 KB
- examples/manifests/keda-rabbitmq.yaml 499 B
- examples/manifests/networkpolicy-allow-frontend.yaml 433 B
- examples/manifests/networkpolicy-default-deny.yaml 306 B
- examples/manifests/pod-security-restricted.yaml 1.1 KB
- examples/manifests/qos-burstable.yaml 488 B
- examples/manifests/qos-guaranteed.yaml 513 B
- examples/manifests/rbac-least-privilege.yaml 784 B
- examples/manifests/storageclass-ssd.yaml 475 B
- examples/python/generate_cost_report.py 3.2 KB runs code
- examples/python/list_pods_without_limits.py 1.4 KB runs code
- examples/python/validate_rbac.py 4.2 KB runs code
- outputs.yaml 16 KB
- references/autoscaling.md 16 KB
- references/networking.md 16 KB
- references/resource-management.md 15 KB
- references/scheduling-patterns.md 15 KB
- references/security.md 16 KB
- references/storage.md 13 KB
- references/troubleshooting.md 17 KB
- scripts/audit-networkpolicies.sh 1.3 KB runs code
- scripts/cost-analysis.sh 2.5 KB runs code
- scripts/validate-resources.sh 1.6 KB runs code
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.
- 8d ago First seen · 503 lines · 49 tokens per session scan A 8761716c392b
operating-kubernetes is a skill published in the GitHub repository ancoleman/ai-design-components (519 stars, last pushed 9mo ago), licensed MIT. It adds 49 tokens to every session and 3,395 once invoked, about $0.0002 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.
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