aws-patterns

aws-patterns is a skill for Claude Code, Codex from vibeeval/vibecosystem. It costs 31 tokens per session (1,552 once invoked), scanned A, original, MIT.

A collection of design patterns for serverless applications on Amazon Web Services, including Lambda functions, S3 events, message queues, notifications, and DynamoDB.

In plain words
What is it for?
Use it when building AWS serverless APIs, event-driven workflows, and DynamoDB data access.
Why use it?
It helps avoid common design mistakes when connecting managed AWS services and handling requests, events, retries, and database access.

Skill for Claude CodeCodex

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

Good fit Use it when building AWS serverless APIs, event-driven workflows, and DynamoDB data access.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vibeeval/vibecosystem/aws-patterns
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 vibeeval/vibecosystem --skill aws-patterns
Clone the repo
git clone --depth 1 https://github.com/vibeeval/vibecosystem

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-patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/vibeeval/vibecosystem/aws-patterns/github.svg)](https://agentmods.dev/skills/vibeeval/vibecosystem/aws-patterns)
Your own site
<a href="https://agentmods.dev/skills/vibeeval/vibecosystem/aws-patterns"><img src="https://agentmods.dev/badge/skills/vibeeval/vibecosystem/aws-patterns/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.

agentmods 80×15 button for aws-patterns

Your own site · 80×15
<a href="https://agentmods.dev/skills/vibeeval/vibecosystem/aws-patterns"><img src="https://agentmods.dev/badge/skills/vibeeval/vibecosystem/aws-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,552 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00031 $0.01552
Opus 5.5 $0.00012 $0.00621
Sonnet 5.5 $0.00006 $0.00310
Haiku 4.5 $0.00003 $0.00155

Measured 2mo ago against content hash ed4580231095, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aws-patterns 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 2mo 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.

skills/aws-patterns/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AWS Patterns

Serverless and managed service patterns for AWS production workloads.

Lambda Best Practices

// Cold start optimization: keep handler thin, initialize outside handler
import { DynamoDBClient } from '@aws-sdk/client-dynamodb'
import { DynamoDBDocumentClient, GetCommand } from '@aws-sdk/lib-dynamodb'

// Initialized ONCE per container (reused across invocations)
const client = DynamoDBDocumentClient.from(new DynamoDBClient({}))

export const handler = async (event: APIGatewayProxyEvent) => {
  try {
    const userId = event.pathParameters?.id
    if (!userId) {
      return { statusCode: 400, body: JSON.stringify({ error: 'Missing user ID' }) }
    }

    const result = await client.send(new GetCommand({
      TableName: process.env.USERS_TABLE!,
      Key: { pk: `USER#${userId}`, sk: `PROFILE` }
    }))

    if (!result.Item) {
      return { statusCode: 404, body: JSON.stringify({ error: 'User not found' }) }
    }

    return {
      statusCode: 200,
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify(result.Item)
    }
  } catch (err) {
    console.error('Handler error:', err)
    return { statusCode: 500, body: JSON.stringify({ error: 'Internal server error' }) }
  }
}

S3 Event Processing

// S3 → Lambda: process uploaded files
import { S3Client, GetObjectCommand } from '@aws-sdk/client-s3'

const s3 = new S3Client({})

export const handler = async (event: S3Event) => {
  for (const record of event.Records) {
    const bucket = record.s3.bucket.name
    const key = decodeURIComponent(record.s3.object.key.replace(/\+/g, ' '))
    const size = record.s3.object.size

    // Guard: skip non-image files or oversized uploads
    if (size > 10_000_000) {
      console.warn(`Skipping oversized file: ${key} (${size} bytes)`)
      continue
    }

    const response = await s3.send(new GetObjectCommand({ Bucket: bucket, Key: key }))
    const body = await response.Body!.transformToByteArray()

    await processImage(body, key)

    console.log(`Processed ${key} (${size} bytes)`)
  }
}

Read the full file on GitHub · 204 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. 2mo ago First seen · 204 lines · 31 tokens per session scan A ed4580231095

Subscribe to this mod's changes

aws-patterns is a skill published in the GitHub repository vibeeval/vibecosystem (539 stars, last pushed 2d ago), licensed MIT. It adds 31 tokens to every session and 1,552 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.

Related

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