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 nik-kale/sre-skills --skill kubernetes-troubleshootinggit clone --depth 1 https://github.com/nik-kale/sre-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/nik-kale/sre-skills/kubernetes-troubleshooting)<a href="https://agentmods.dev/skills/nik-kale/sre-skills/kubernetes-troubleshooting"><img src="https://agentmods.dev/badge/skills/nik-kale/sre-skills/kubernetes-troubleshooting/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/nik-kale/sre-skills/kubernetes-troubleshooting"><img src="https://agentmods.dev/badge/skills/nik-kale/sre-skills/kubernetes-troubleshooting.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 | $0.00054 | $0.02142 |
| Opus 5.5 | $0.00022 | $0.00857 |
| Sonnet 5.5 | $0.00011 | $0.00428 |
| Haiku 4.5 | $0.00005 | $0.00214 |
Grade A, and why
kubernetes-troubleshooting scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
kubectl exec <pod-name> -n <namespace> -- wget -qO- localhost:<port>/health How it starts
The opening of the file, as written. The whole thing — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kubernetes Troubleshooting
Systematic approach to debugging Kubernetes issues.
When to Use This Skill
- Pod stuck in CrashLoopBackOff
- OOMKilled errors
- ImagePullBackOff failures
- Pod not starting or scheduling
- Service connectivity issues
- Resource constraint problems
Quick Diagnostic Commands
Start with these commands to understand the current state:
# Cluster overview
kubectl get nodes
kubectl get pods -A | grep -v Running
# Specific namespace
kubectl get pods -n <namespace>
kubectl get events -n <namespace> --sort-by='.lastTimestamp' | tail -20
# Resource usage
kubectl top nodes
kubectl top pods -n <namespace>
Pod Debugging Workflow
Step 1: Check Pod Status
kubectl get pod <pod-name> -n <namespace> -o wide
kubectl describe pod <pod-name> -n <namespace>
Look for:
- Status: What state is the pod in?
- Conditions: Ready, ContainersReady, PodScheduled
- Events: Recent events at the bottom of describe output
Step 2: Identify the Problem Category
| Symptom | Likely Cause | Go To Section |
|---|---|---|
| Pending | Scheduling issue | Scheduling Issues |
| CrashLoopBackOff | Application crash | CrashLoopBackOff |
| ImagePullBackOff | Image/registry issue | Image Pull Issues |
| OOMKilled | Memory exhaustion | OOMKilled |
| Running but not Ready | Health check failing | Readiness Issues |
| Error | Container error | Container Errors |
Common Issues
Scheduling Issues
Pod stuck in Pending state.
Diagnostic:
kubectl describe pod <pod-name> -n <namespace> | grep -A 10 Events
Common Causes:
| Event Message | Cause | Fix |
|---|---|---|
| Insufficient cpu/memory | Not enough resources | Add nodes or reduce requests |
| node(s) had taints | Node taints | Add tolerations or remove taints |
| no nodes available | No matching nodes | Check node selector/affinity |
| persistentvolumeclaim not found | PVC missing | Create the PVC |
What ships with it
2 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.
- 2mo ago First seen · 340 lines · 54 tokens per session scan A e883ba1a17b5
kubernetes-troubleshooting is a skill published in the GitHub repository nik-kale/sre-skills (12 stars, last pushed 9mo ago), licensed MIT. It adds 54 tokens to every session and 2,142 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
kubernetes-troubleshooting compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| kubernetes-troubleshootingnik-kale/sre-skills | Skill | 12 | 9mo ago | MIT | A | 54 | Claude Code, Codex |
| gke-workload-troubleshootinggke-labs/kube-agents | Skill | 124 | yesterday | Apache-2.0 | A | 97 | Claude Code, Codex |
| otel-profilesollygarden/opentelemetry-agent-skills | Skill | 125 | yesterday | Apache-2.0 | A | 128 | Claude Code |
| image-pull-debugscitix/siclaw | Skill | 238 | 25d ago | Apache-2.0 | A | 36 | Claude Code, Codex |
| pod-pending-debugscitix/siclaw | Skill | 238 | 25d ago | Apache-2.0 | A | 41 | Claude Code, Codex |
| kubernetes-specialistseaworld008/Commonly-used-high-value-skills | Skill | 74 | 2d ago | MIT | A | 34 | Claude Code, Codex |
| nodeopenshift-eng/ai-helpers | Skill | 122 | yesterday | Apache-2.0 | A | 108 | Claude Code |