AWS Agent Skills is a collection of local instructions that help coding agents reason about AWS cloud services and engineering tasks. It supports agents working with areas such as identity, compute, storage, serverless, databases, networking, and security. The catalogue contains 18 service-focused skills and one plugin for using these capabilities with coding 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 itsmostafa/aws-agent-skills --skill ecsgit clone --depth 1 https://github.com/itsmostafa/aws-agent-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/itsmostafa/aws-agent-skills/ecs)<a href="https://agentmods.dev/skills/itsmostafa/aws-agent-skills/ecs"><img src="https://agentmods.dev/badge/skills/itsmostafa/aws-agent-skills/ecs.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00035 | $0.03157 |
| Opus 5 | $0.00017 | $0.01579 |
| Sonnet 5 | $0.00007 | $0.00631 |
| Haiku 4.5 | $0.00003 | $0.00316 |
Grade A, and why
ecs 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 8d 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.
"command": ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"], How it starts
The opening of the file, as written. The whole thing — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS ECS
Amazon Elastic Container Service (ECS) is a fully managed container orchestration service. Run containers on AWS Fargate (serverless) or EC2 instances.
Table of Contents
Core Concepts
Cluster
Logical grouping of tasks or services. Can contain Fargate tasks, EC2 instances, or both.
Task Definition
Blueprint for your application. Defines containers, resources, networking, and IAM roles.
Task
Running instance of a task definition. Can run standalone or as part of a service.
Service
Maintains desired count of tasks. Handles deployments, load balancing, and auto scaling.
Launch Types
| Type | Description | Use Case |
|---|---|---|
| Fargate | Serverless, pay per task | Most workloads |
| EC2 | Self-managed instances | GPU, Windows, specific requirements |
Common Patterns
Create a Fargate Cluster
AWS CLI:
# Create cluster
aws ecs create-cluster --cluster-name my-cluster
# With capacity providers
aws ecs create-cluster \
--cluster-name my-cluster \
--capacity-providers FARGATE FARGATE_SPOT \
--default-capacity-provider-strategy \
capacityProvider=FARGATE,weight=1 \
capacityProvider=FARGATE_SPOT,weight=1
Register Task Definition
cat > task-definition.json << 'EOF'
{
"family": "web-app",
"networkMode": "awsvpc",
"requiresCompatibilities": ["FARGATE"],
"cpu": "256",
"memory": "512",
"executionRoleArn": "arn:aws:iam::123456789012:role/ecsTaskExecutionRole",
"taskRoleArn": "arn:aws:iam::123456789012:role/ecsTaskRole",
"containerDefinitions": [
{
"name": "web",
"image": "123456789012.dkr.ecr.us-east-1.amazonaws.com/my-app:latest",
"portMappings": [
{
"containerPort": 8080,
"protocol": "tcp"
}
],
"environment": [
{"name": "NODE_ENV", "value": "production"}
],
"secrets": [
{
"name": "DB_PASSWORD",
"valueFrom": "arn:aws:secretsmanager:us-east-1:123456789012:secret:db-password"
}
],
"logConfiguration": {
"logDriver": "awslogs",
"options": {
"awslogs-group": "/ecs/web-app",
"awslogs-region": "us-east-1",
"awslogs-stream-prefix": "ecs",
"mode": "non-blocking",
"max-buffer-size": "25m"
}
},
"healthCheck": {
"command": ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"],
"interval": 30,
"timeout": 5,
"retries": 3,
"startPeriod": 60
}
}
]
}
EOF
aws ecs register-task-definition --cli-input-json file://task-definition.json
What ships with it
1 file 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.
- 8d ago First seen · 449 lines · 35 tokens per session scan A ca9bef8c2350
ecs is a skill published in the GitHub repository itsmostafa/aws-agent-skills (1,150 stars, last pushed 7d ago), licensed MIT. It adds 35 tokens to every session and 3,157 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-ops
Deploy, scale, and manage Kubernetes workloads. Create deployments, services, and configurations, manage cluster resources, troubleshoot pods, and implement production-ready Kubernetes patterns. Use when working with Kubernetes clusters, K8s deployments, or container orchestration.
aws-ecs-fargate
Deploy containers on ECS and Fargate. Configure task definitions, services, and load balancing. Use when running containerized workloads on AWS.
gcp-gke
Deploy and manage Google Kubernetes Engine clusters. Configure node pools, networking, and workload identity. Use when running Kubernetes on GCP.
kubernetes-hardening
Implement Kubernetes security contexts, Pod Security Standards, and network policies. Secure cluster components and workloads. Use when hardening Kubernetes deployments or meeting security compliance.
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.
k8s
Kubernetes and Helm review and scaffolding for EKS workloads. Use when user says 'review my helm values', 'before I deploy', 'scaffold a new service', 'check values.yaml', or when working in values.yaml, Chart.yaml, or Helm template files.