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 eveld/claude --skill k8s-awarenessgit clone --depth 1 https://github.com/eveld/claudeWrote 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/eveld/claude/k8s-awareness)<a href="https://agentmods.dev/skills/eveld/claude/k8s-awareness"><img src="https://agentmods.dev/badge/skills/eveld/claude/k8s-awareness/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/eveld/claude/k8s-awareness"><img src="https://agentmods.dev/badge/skills/eveld/claude/k8s-awareness.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 | $0.00020 | $0.00755 |
| Opus 5 | $0.00010 | $0.00378 |
| Sonnet 5 | $0.00004 | $0.00151 |
| Haiku 4.5 | $0.00002 | $0.00076 |
Grade A, and why
k8s-awareness 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kubernetes Skills Guide
You have specialized Kubernetes debugging skills. Use these instead of raw kubectl commands for consistent, well-documented workflows.
Decision Tree
Skills vs Agents
Simple, single kubectl command query?
→ Use kubernetes skill
- Better than: Running raw
kubectl get podscommands - Example: "Check pod status in production namespace"
- Use when: Quick resource check, single namespace, no correlation needed
Complex investigation requiring multiple steps? → Use Task tool with K8s agents (conserves context)
k8s-locator- Find and list resources across namespacesk8s-analyzer- Diagnose pod/deployment issues, check logs/eventsk8s-pattern-finder- Find patterns across resources, detect infrastructure issues- Use when: Multi-namespace investigation, pattern detection, cluster-wide issues
Specific pod crashing or failing?
→ Use k8s-debug skill
- Launches ephemeral debug container in running pod
- Example: "Debug the failing pod api-gateway-xyz"
When to Use Which Agent
Just need to find resources broadly?
→ Use k8s-locator agent only
- Lists pods, deployments, services across namespaces
- Saves to /tmp for later analysis
- Example: "Get all pods in production, staging, development namespaces"
Investigating single pod/service issue?
→ Use k8s-locator + k8s-analyzer agents
- Locator: Find relevant pods/resources
- Analyzer: Diagnose health, check events, analyze logs
- Example: "Debug service-b CrashLoopBackOff"
Need to find patterns or cluster-wide issues?
→ Use all three: k8s-locator + k8s-analyzer + k8s-pattern-finder
- Locator: Fetch resources from all namespaces
- Analyzer: Diagnose specific pod failures
- Pattern-finder: Correlate across resources, detect node issues, cascade failures
- Example: "Find why multiple pods are ImagePullBackOff across namespaces"
Available Kubernetes Tools
| Type | Name | Purpose |
|---|---|---|
| Skill | kubernetes | Simple queries (single kubectl command) |
| Skill | k8s-debug | Launch ephemeral debug container |
| Agent | k8s-locator | Find and list resources across namespaces |
| Agent | k8s-analyzer | Diagnose pod/deployment issues |
| Agent | k8s-pattern-finder | Find patterns, cluster-wide issues |
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 · 91 lines · 20 tokens per session scan A 176892c92087
k8s-awareness is a skill published in the GitHub repository eveld/claude (10 stars, last pushed 7mo ago), licensed MIT. It adds 20 tokens to every session and 755 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 2026-08-31.
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