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 eliecer2000/kiro-bootstrap --skill aws-serverlessgit clone --depth 1 https://github.com/eliecer2000/kiro-bootstrapWrote 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/eliecer2000/kiro-bootstrap/aws-serverless)<a href="https://agentmods.dev/skills/eliecer2000/kiro-bootstrap/aws-serverless"><img src="https://agentmods.dev/badge/skills/eliecer2000/kiro-bootstrap/aws-serverless/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/eliecer2000/kiro-bootstrap/aws-serverless"><img src="https://agentmods.dev/badge/skills/eliecer2000/kiro-bootstrap/aws-serverless.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 | $0.00040 | $0.02776 |
| Opus 5.5 | $0.00016 | $0.01110 |
| Sonnet 5.5 | $0.00008 | $0.00555 |
| Haiku 4.5 | $0.00004 | $0.00278 |
Grade A, and why
aws-serverless 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 1mo 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 — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Serverless
Skill para construir aplicaciones serverless production-ready en AWS. Cubre Lambda functions, API Gateway (REST/HTTP/WebSocket), arquitecturas event-driven con SQS/SNS/DynamoDB Streams, modelado DynamoDB, despliegue con SAM/CDK, y optimización de cold starts.
Principios fundamentales
- Serverless-first: diseñar para ejecución efímera, stateless y event-driven.
- Cada Lambda = una responsabilidad. No monolitos Lambda.
- Inicializar clientes AWS fuera del handler (reutilización en warm starts).
- Usar partial batch failure reporting en SQS/Kinesis/DynamoDB Streams.
- Dead Letter Queues (DLQ) obligatorias en toda cola y suscripción.
- Idempotencia en todo handler que procese eventos (at-least-once delivery).
- Observabilidad desde el día 1: structured logging, tracing, métricas custom.
Patrones de Lambda Handler
Node.js Handler (TypeScript)
import { Logger } from '@aws-lambda-powertools/logger';
import { Tracer } from '@aws-lambda-powertools/tracer';
import { DynamoDBClient } from '@aws-sdk/client-dynamodb';
import { DynamoDBDocumentClient, GetCommand } from '@aws-sdk/lib-dynamodb';
import type { APIGatewayProxyEventV2, APIGatewayProxyResultV2 } from 'aws-lambda';
const logger = new Logger({ serviceName: 'mi-servicio' });
const tracer = new Tracer({ serviceName: 'mi-servicio' });
// Inicializar fuera del handler (warm start reuse)
const client = tracer.captureAWSv3Client(new DynamoDBClient({}));
const docClient = DynamoDBDocumentClient.from(client);
const TABLE_NAME = process.env.TABLE_NAME!;
export const handler = async (
event: APIGatewayProxyEventV2
): Promise<APIGatewayProxyResultV2> => {
try {
const body = typeof event.body === 'string' ? JSON.parse(event.body) : event.body;
const result = await processRequest(body);
return {
statusCode: 200,
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(result),
};
} catch (error) {
logger.error('Error processing request', { error });
return {
statusCode: 500,
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ error: 'Internal server error' }),
};
}
};
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.
- 1mo ago First seen · 402 lines · 40 tokens per session scan A d9f62c777264
aws-serverless is a skill published in the GitHub repository eliecer2000/kiro-bootstrap (9 stars, last pushed 7mo ago), licensed MIT. It adds 40 tokens to every session and 2,776 once invoked, about $0.0002 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 2026-08-31.
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reinvent-stack-toolkit
Technical patterns and known-only-by-live-invocation pitfalls for the reinvent agent's fixed stack. Covers how to wire services correctly; says nothing about what to build. Read this BEFORE writing any code for a new project on this stack. Only fall back to live AWS docs search when a value here looks stale or the…
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amazon-location-service
Amazon Location Service. Reference skill (loaded via skill:// from the ios agent).
amazon-polly-generative
Amazon Polly Generative Voices. Reference skill (loaded via skill:// from the ios agent).