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 porcupine-md/jonggrang --skill aws-deploymentgit clone --depth 1 https://github.com/porcupine-md/jonggrangWrote 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/porcupine-md/jonggrang/aws-deployment)<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/aws-deployment"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/aws-deployment/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/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>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 | $0.00026 | $0.00696 |
| Opus 5 | $0.00013 | $0.00348 |
| Sonnet 5 | $0.00005 | $0.00139 |
| Haiku 4.5 | $0.00003 | $0.00070 |
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. 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
- Verify the presence of AWS credentials (
AWS_ACCESS_KEY_IDandAWS_SECRET_ACCESS_KEY, orAWS_PROFILE). - Run
aws sts get-caller-identityto confirm authentication. - If using an IAM role (e.g., in GitHub Actions via OIDC), ensure the role is successfully assumed.
Phase 2: Build
- Prepare the artifacts for deployment.
- If containerized (ECS, AppRunner, EKS): run
docker build -t <image-name> . - If static site (S3/CloudFront): run your framework's build command (e.g.,
npm run build). - If Node.js/Python on EC2: bundle the application code.
Phase 3: Install / Provisioning
- Ensure the target AWS resources exist.
- If using S3: run
aws s3 ls s3://<bucket-name>to verify bucket presence. Create it if it doesn't exist. - 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). - If using EC2: ensure you have the correct key pairs or Session Manager access.
Phase 4: Deploy
- Ship the artifact to AWS.
- S3/CloudFront:
aws s3 sync dist/ s3://<bucket-name> --delete. Then invalidate cache:aws cloudfront create-invalidation --distribution-id <id> --paths "/*". - ECS: Push image to ECR, then update the ECS service (
aws ecs update-service --cluster <cluster> --service <service> --force-new-deployment). - EC2 (File-based): Use
scpto copy files, SSH in, install dependencies, and restart PM2/Systemd.
Phase 5: Checking
- Verify the deployment was successful.
- Curl the application's public URL or load balancer to check for an HTTP 200 OK status.
- Check AWS logs via CloudWatch (
aws logs tail ...) if you encounter errors. - For ECS, check
aws ecs describe-servicesto ensure running count matches desired count.
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 · 58 lines · 26 tokens per session scan A 817bad2c3dc9
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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