Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/dallay/agents-skillsnpx agentmods add skills/dallay/agents-skills/kubernetes-orchestrationWrote 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/dallay/agents-skills/kubernetes-orchestration)<a href="https://agentmods.dev/skills/dallay/agents-skills/kubernetes-orchestration"><img src="https://agentmods.dev/badge/skills/dallay/agents-skills/kubernetes-orchestration/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/skills/dallay/agents-skills/kubernetes-orchestration"><img src="https://agentmods.dev/badge/skills/dallay/agents-skills/kubernetes-orchestration.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 | $0.00077 | $0.02485 |
| Opus 5 | $0.00039 | $0.01242 |
| Sonnet 5 | $0.00015 | $0.00497 |
| Haiku 4.5 | $0.00008 | $0.00248 |
Grade A, and why
kubernetes-orchestration 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 10d 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 — 387 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
- Deploying containerized applications to Kubernetes clusters.
- Writing or reviewing Deployment, Service, Ingress, or other K8s manifests.
- Configuring health probes, resource limits, autoscaling, or rolling updates.
- Troubleshooting pod scheduling, networking, or configuration issues.
- Setting up Kustomize overlays for multi-environment deployments.
Critical Patterns
- Resource Limits Are Mandatory: ALWAYS set both
requestsandlimitsfor CPU and memory. Without them, a single pod can starve the entire node. - Health Probes on Every Workload: ALWAYS define
readinessProbeandlivenessProbe. Without readiness probes, traffic routes to unready pods. Without liveness probes, stuck containers are never restarted. - Startup Probes for Slow Init: Use
startupProbefor applications with long initialization ( JVM, large model loading) to avoid premature liveness kills. - Never Use
latestTag: Pin image tags to immutable versions or digests.latestcauses unpredictable deployments and breaks rollback. - Namespaces for Isolation: Separate workloads by team, environment, or domain using namespaces. Apply ResourceQuotas per namespace.
- Secrets Are Not Encrypted at Rest by Default: Enable encryption at rest or use external secret managers (Vault, Sealed Secrets, External Secrets Operator).
- Pod Disruption Budgets: Always set PDBs for production workloads to prevent all replicas from being evicted during node maintenance.
Code Examples
Pod Spec with Complete Health Probes
apiVersion: v1
kind: Pod
metadata:
name: api-server
labels:
app: api-server
version: v1.2.0
spec:
containers:
- name: api
image: myregistry/api-server:1.2.0
ports:
- containerPort: 8080
protocol: TCP
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
cpu: 500m
memory: 512Mi
startupProbe:
httpGet:
path: /healthz
port: 8080
failureThreshold: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /ready
port: 8080
initialDelaySeconds: 5
periodSeconds: 10
timeoutSeconds: 3
failureThreshold: 3
livenessProbe:
httpGet:
path: /healthz
port: 8080
initialDelaySeconds: 15
periodSeconds: 20
timeoutSeconds: 5
failureThreshold: 3
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: db-credentials
key: url
- name: LOG_LEVEL
valueFrom:
configMapKeyRef:
name: app-config
key: log-level
restartPolicy: Always
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.
- 10d ago First seen · 387 lines · 77 tokens per session scan A 811b417caec0
kubernetes-orchestration is a skill published in the GitHub repository dallay/agents-skills (2 stars, last pushed 18d ago), licensed MIT. It adds 77 tokens to every session and 2,485 once invoked, about $0.0004 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 2026-08-31.
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