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 microwind/ai-skills --skill kubernetes-basicsgit clone --depth 1 https://github.com/microwind/ai-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/microwind/ai-skills/kubernetes-basics)<a href="https://agentmods.dev/skills/microwind/ai-skills/kubernetes-basics"><img src="https://agentmods.dev/badge/skills/microwind/ai-skills/kubernetes-basics/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/microwind/ai-skills/kubernetes-basics"><img src="https://agentmods.dev/badge/skills/microwind/ai-skills/kubernetes-basics.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 | $0.00047 | $0.09207 |
| Opus 5 | $0.00023 | $0.04603 |
| Sonnet 5 | $0.00009 | $0.01841 |
| Haiku 4.5 | $0.00005 | $0.00921 |
Grade A, and why
Kubernetes编排 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 11d 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.
cpu_requests += self.parse_cpu(container.resources.requests.get('cpu', '0')) The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 11d ago First seen · 1,237 lines · 47 tokens per session scan A dd087096e871
Kubernetes编排 is a skill published in the GitHub repository microwind/ai-skills (78 stars, last pushed 3mo ago), with no licence file. It adds 47 tokens to every session and 9,207 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
Other skills, from other repositories
kubernetes
Skill "kubernetes" from dhaupin/vant, covering kubernetes, when to use, what to do, 1. install kind and 2. create cluster.
pod-crashloop-triage
Use when pods are in CrashLoopBackOff, ImagePullBackOff, ErrImagePull, or OOMKilled — collects describe/logs/events and identifies the failure class before recommending a fix.
aiq-deploy
Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.
dynamo-recipe-runner
Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. Use for model/backend/GPU/deployment-mode recipe bring-up; use router-starter for router-only mode work and troubleshoot for broken deployments.
moai-platform-deployment
Deployment and hosting platform specialist covering Vercel, Railway, and Convex. Use when deploying applications, configuring edge functions, setting up continuous deployment, or managing serverless infrastructure.
ecs
AWS ECS container orchestration for running Docker containers. Use when deploying containerized applications, configuring task definitions, setting up services, managing clusters, or troubleshooting container issues.