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 agentmods add skills/nodnarbnitram/claude-code-extensions/kubernetes-healthnpx skills add nodnarbnitram/claude-code-extensions --skill kubernetes-healthgit clone --depth 1 https://github.com/nodnarbnitram/claude-code-extensionsWrote 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/nodnarbnitram/claude-code-extensions/kubernetes-health)<a href="https://agentmods.dev/skills/nodnarbnitram/claude-code-extensions/kubernetes-health"><img src="https://agentmods.dev/badge/skills/nodnarbnitram/claude-code-extensions/kubernetes-health.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 | $0.00032 | $0.01110 |
| Opus 5 | $0.00016 | $0.00555 |
| Sonnet 5 | $0.00006 | $0.00222 |
| Haiku 4.5 | $0.00003 | $0.00111 |
Grade A, and why
kubernetes-health 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.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kubernetes Health Diagnostics
Dynamic, discovery-driven health checks for any Kubernetes cluster configuration
BEFORE YOU START
| Impact | Value |
|---|---|
| Token Savings | ~70% vs manual kubectl exploration |
| Setup Time | 0 min (uses existing kubectl config) |
| Coverage | Adapts to installed operators automatically |
Known Issues Prevented
| Problem | Root Cause | How This Skill Helps |
|---|---|---|
| Missing operator health | Static checklists miss CRDs | Dynamic API discovery detects all installed operators |
| Stale diagnostics | Manual checks become outdated | Real-time cluster API interrogation |
| Incomplete coverage | Unknown cluster configuration | Automatically activates relevant sub-agents |
Quick Start
- Verify cluster access: Ensure
kubectlis configured and can reach your cluster - Run discovery: Execute
discover_apis.pyto detect installed operators - Dispatch agents: Use the orchestrator to run health checks based on discovery
# Step 1: Verify kubectl context
kubectl config current-context
kubectl cluster-info
# Step 2: Run API discovery
uv run .claude/skills/kubernetes-health/scripts/discover_apis.py
# Step 3: Review detected operators and dispatch health agents
Critical Rules
Always
- Verify kubectl context before running health checks
- Use read-only kubectl commands (get, describe, logs)
- Run core health checks before operator-specific checks
- Aggregate results using the provided scoring methodology
Never
- Modify cluster resources during health checks
- Expose secret values in health reports (metadata only)
- Skip context verification for production clusters
- Assume operator presence without API discovery
Common Mistakes
| Mistake | Why It's Wrong | Correct Approach |
|---|---|---|
| Hardcoding operator checks | Misses installed operators, checks missing ones | Use API discovery to detect what's installed |
| Sequential agent dispatch | Slow for multi-operator clusters | Run operator agents in parallel (same priority) |
| Raw kubectl output | Token inefficient, hard to parse | Use scripts for condensed JSON output |
What ships with it
7 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.
- 5d ago First seen · 161 lines · 32 tokens per session scan A ae41e82e4bc8
kubernetes-health is a skill published in the GitHub repository nodnarbnitram/claude-code-extensions (16 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 1,110 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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