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 cosmicstack-labs/mercury-agent-skills --skill kubernetes-patternsgit clone --depth 1 https://github.com/cosmicstack-labs/mercury-agent-skillsWrote 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/cosmicstack-labs/mercury-agent-skills/kubernetes-patterns)<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/kubernetes-patterns"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/kubernetes-patterns.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00024 | $0.00427 |
| Opus 5 | $0.00012 | $0.00214 |
| Sonnet 5 | $0.00005 | $0.00085 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
kubernetes-patterns 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.
What it actually says
Kubernetes Patterns
Deploy and manage production Kubernetes clusters.
Core Objects
Workloads
| Object | Use Case | Scaling |
|---|---|---|
| Deployment | Stateless apps | Replicas, HPA |
| StatefulSet | Stateful apps (DBs) | Stable network IDs |
| DaemonSet | Per-node agents (logging, monitoring) | Node count |
| Job/CronJob | Batch tasks, scheduled jobs | Completion |
Networking
- Service: Stable endpoint for pods (ClusterIP, NodePort, LoadBalancer)
- Ingress: HTTP routing, TLS termination, path-based routing
- Network Policies: Pod-level firewall rules
Production Best Practices
Resource Management
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
cpu: 500m
memory: 256Mi
- Always set requests AND limits
- Use LimitRange for namespace defaults
- Use ResourceQuota for namespace caps
Pod Anti-Affinity
Spread pods across nodes for HA.
Readiness & Liveness Probes
- Readiness: traffic starts flowing
- Liveness: pod gets restarted
- Startup: for slow-starting containers
RBAC
- Least-privilege service accounts per app
- Namespace-scoped roles (not cluster-wide)
- Regularly audit permissions
- Use groups, not individual users
Autoscaling
- HPA: scale by CPU/memory or custom metrics
- VPA: adjust resource requests automatically
- Cluster Autoscaler: add/remove nodes
- KEDA: event-driven scaling (SQS queue depth, etc.)
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 · 65 lines · 24 tokens per session scan A 3d26dfce60ef
kubernetes-patterns is a skill published in the GitHub repository cosmicstack-labs/mercury-agent-skills (471 stars, last pushed 14d ago), licensed MIT. It adds 24 tokens to every session and 427 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 2026-09-03.
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