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 vibeeval/vibecosystem --skill aws-patternsgit clone --depth 1 https://github.com/vibeeval/vibecosystemWrote 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/vibeeval/vibecosystem/aws-patterns)<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.
<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>- 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 | $0.00031 | $0.01552 |
| Opus 5.5 | $0.00012 | $0.00621 |
| Sonnet 5.5 | $0.00006 | $0.00310 |
| Haiku 4.5 | $0.00003 | $0.00155 |
Grade A, and why
aws-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Patterns
Serverless and managed service patterns for AWS production workloads.
Lambda Best Practices
// Cold start optimization: keep handler thin, initialize outside handler
import { DynamoDBClient } from '@aws-sdk/client-dynamodb'
import { DynamoDBDocumentClient, GetCommand } from '@aws-sdk/lib-dynamodb'
// Initialized ONCE per container (reused across invocations)
const client = DynamoDBDocumentClient.from(new DynamoDBClient({}))
export const handler = async (event: APIGatewayProxyEvent) => {
try {
const userId = event.pathParameters?.id
if (!userId) {
return { statusCode: 400, body: JSON.stringify({ error: 'Missing user ID' }) }
}
const result = await client.send(new GetCommand({
TableName: process.env.USERS_TABLE!,
Key: { pk: `USER#${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)`)
}
}
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.
- 2mo ago First seen · 204 lines · 31 tokens per session scan A ed4580231095
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.
aws-patterns compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aws-patternsvibeeval/vibecosystem | Skill | 539 | 2d ago | MIT | A | 31 | Claude Code, Codex |
| django-storages-s3Jeffallan/claude-skills | Skill | 12k | 7d ago | MIT | A | 138 | Claude Code |
| websocket-engineerJeffallan/claude-skills | Skill | 12k | 7d ago | MIT | A | 36 | Claude Code |
| snsitsmostafa/aws-agent-skills | Skill | 1.2k | 4d ago | MIT | A | 32 | Claude Code |
| hono-api-scaffolderjezweb/claude-skills | Skill | 1.1k | 28d ago | MIT | A | 77 | Claude Code |
| cloudflare-worker-builderjezweb/claude-skills | Skill | 1.1k | 28d ago | MIT | A | 86 | Claude Code |
| netlify-developmentMindrally/skills | Skill | 297 | 29d ago | Apache-2.0 | A | 78 | Claude Code |