APEX Skills is a collection of agent skills that provide AWS platform-engineering knowledge and workflows to coding agents. Engineers use it for tasks involving services such as Amazon EKS and Kubernetes. The catalogue entries are its skills and agents.
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 aws-samples/sample-apex-skills --skill eks-genaigit clone --depth 1 https://github.com/aws-samples/sample-apex-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/aws-samples/sample-apex-skills/eks-genai)<a href="https://agentmods.dev/skills/aws-samples/sample-apex-skills/eks-genai"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-apex-skills/eks-genai/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/aws-samples/sample-apex-skills/eks-genai"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-apex-skills/eks-genai.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 | $0.00275 | $0.03974 |
| Opus 5 | $0.00138 | $0.01987 |
| Sonnet 5 | $0.00055 | $0.00795 |
| Haiku 4.5 | $0.00028 | $0.00397 |
Grade A, and why
eks-genai 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 9d 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.
The source is not reproduced here
Licensed MIT-0
The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
12 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.
- references/agentic-and-rag.md 10 KB
- references/ai-gateway.md 15 KB
- references/cluster-and-scheduling.md 21 KB
- references/compute-hardware.md 13 KB
- references/distributed-training.md 13 KB
- references/inference-serving.md 13 KB
- references/kv-cache-and-cost.md 15 KB
- references/observability.md 14 KB
- references/reference-implementations.md 14 KB
- references/security-and-compliance.md 13 KB
- references/storage.md 12 KB
- references/use-cases.md 13 KB
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.
- 9d ago First seen · 134 lines · 275 tokens per session scan A 61db6b9ca3b5
eks-genai is a skill published in the GitHub repository aws-samples/sample-apex-skills (56 stars, last pushed yesterday), licensed MIT-0. It adds 275 tokens to every session and 3,974 once invoked, about $0.0014 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.
Other skills, from other repositories
agentic-eks-bootstrap
Bootstrap an AWS EKS cluster optimized for Agentic AI workloads — Karpenter v1.2+ GPU node pools, EKS Auto Mode, Kubernetes 1.32+ with DRA 1.35 GA, VPC CNI, GPU Operator, and baseline observability. Use when starting a new EKS cluster that will host vLLM, Inference Gateway, Langfuse, or Kagent.
Triage EKS Node NotReady
Diagnose EKS worker nodes in NotReady and determine safe remediation.
timoni
Use when deploying applications to Kubernetes with Timoni. Covers installing and upgrading module instances from OCI registries, composing multi-app deployments with bundles, injecting values from clusters or CI with runtimes, targeting multiple clusters, and authoring, testing, signing and publishing modules with CUE.
ecspresso
ECS deployment tool - deploy, manage, and troubleshoot ECS services.
securing-kubernetes-on-cloud
This skill covers hardening managed Kubernetes clusters on EKS, AKS, and GKE by implementing Pod Security Standards, network policies, workload identity, RBAC scoping, image admission controls, and runtime security monitoring. It addresses cloud-specific security features including IRSA for EKS, Workload Identity for…
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.