aws-deployment

aws-deployment is a skill for Claude Code, Codex from porcupine-md/jonggrang. It costs 26 tokens per session (696 once invoked), scanned A, original, MIT.

A deployment guide for Amazon Web Services (AWS), a cloud platform offering servers, container hosting, file storage, and content delivery. It covers services including EC2, ECS, S3, CloudFront, and related AWS resources.

In plain words
What is it for?
Use it to deploy containerized applications, static websites, or Node.js and Python applications to AWS, including uploading files to S3 and publishing images to ECR.
Why use it?
It brings the different login, build, storage, container, and hosting checks needed for an AWS deployment into one process.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to deploy containerized applications, static websites, or Node.js and Python applications to AWS, including uploading files to S3 and publishing images to ECR.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/porcupine-md/jonggrang/aws-deployment
Install

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.

Any agent
npx skills add porcupine-md/jonggrang --skill aws-deployment
Clone the repo
git clone --depth 1 https://github.com/porcupine-md/jonggrang

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for aws-deployment

README.md
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Your own site
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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.

agentmods 80×15 button for aws-deployment

Your own site · 80×15
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/aws-deployment"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/aws-deployment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 696 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.00696
Opus 5 $0.00013 $0.00348
Sonnet 5 $0.00005 $0.00139
Haiku 4.5 $0.00003 $0.00070

Measured 9d ago against content hash 817bad2c3dc9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

aws-deployment 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 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- [ ] Health check (curl) returns 200 OK.
skills/library/deploy/aws-deployment/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context

Deploying {{project_name}} ({{project_type}}) to Amazon Web Services (AWS). You will follow a strict 6-phase Deployment Lifecycle Contract.

Instructions

Execute the following phases in order:

Phase 1: Authentication

  1. Verify the presence of AWS credentials (AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY, or AWS_PROFILE).
  2. Run aws sts get-caller-identity to confirm authentication.
  3. If using an IAM role (e.g., in GitHub Actions via OIDC), ensure the role is successfully assumed.

Phase 2: Build

  1. Prepare the artifacts for deployment.
  2. If containerized (ECS, AppRunner, EKS): run docker build -t <image-name> .
  3. If static site (S3/CloudFront): run your framework's build command (e.g., npm run build).
  4. If Node.js/Python on EC2: bundle the application code.

Phase 3: Install / Provisioning

  1. Ensure the target AWS resources exist.
  2. If using S3: run aws s3 ls s3://<bucket-name> to verify bucket presence. Create it if it doesn't exist.
  3. If using ECR: authenticate Docker to ECR (aws ecr get-login-password --region <region> | docker login --username AWS --password-stdin <account-id>.dkr.ecr.<region>.amazonaws.com).
  4. If using EC2: ensure you have the correct key pairs or Session Manager access.

Phase 4: Deploy

  1. Ship the artifact to AWS.
  2. S3/CloudFront: aws s3 sync dist/ s3://<bucket-name> --delete. Then invalidate cache: aws cloudfront create-invalidation --distribution-id <id> --paths "/*".
  3. ECS: Push image to ECR, then update the ECS service (aws ecs update-service --cluster <cluster> --service <service> --force-new-deployment).
  4. EC2 (File-based): Use scp to copy files, SSH in, install dependencies, and restart PM2/Systemd.

Phase 5: Checking

  1. Verify the deployment was successful.
  2. Curl the application's public URL or load balancer to check for an HTTP 200 OK status.
  3. Check AWS logs via CloudWatch (aws logs tail ...) if you encounter errors.
  4. For ECS, check aws ecs describe-services to ensure running count matches desired count.

Read the full file on GitHub · 58 lines

Changes

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.

  1. 9d ago First seen · 58 lines · 26 tokens per session scan A 817bad2c3dc9

Subscribe to this mod's changes

aws-deployment is a skill published in the GitHub repository porcupine-md/jonggrang (11 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 696 once invoked, about $0.0001 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.

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