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-rdsgit 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-rds)<a href="https://agentmods.dev/skills/eliecer2000/kiro-bootstrap/aws-rds"><img src="https://agentmods.dev/badge/skills/eliecer2000/kiro-bootstrap/aws-rds.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.01311 |
| Opus 5 | $0.00019 | $0.00656 |
| Sonnet 5 | $0.00008 | $0.00262 |
| Haiku 4.5 | $0.00004 | $0.00131 |
Grade A, and why
aws-rds 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 8d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS RDS
Skill para configurar Amazon RDS y Aurora: engines (PostgreSQL, MySQL), Multi-AZ, read replicas, backups, cifrado, IAM auth, parameter groups, Secrets Manager y mejores prácticas de seguridad y rendimiento.
Principios fundamentales
- Multi-AZ habilitado en producción. Sin excepciones.
- Cifrado en reposo (KMS) y en tránsito (SSL/TLS) obligatorio.
- Credenciales en Secrets Manager con rotación automática. Nunca en código o variables de entorno planas.
- Backups automáticos habilitados con retención mínima de 7 días (35 en producción).
- Subnet groups privados. RDS nunca accesible desde internet.
Instancia RDS segura (CDK)
const db = new rds.DatabaseInstance(this, 'Database', {
engine: rds.DatabaseInstanceEngine.postgres({
version: rds.PostgresEngineVersion.VER_16,
}),
instanceType: ec2.InstanceType.of(ec2.InstanceClass.T4G, ec2.InstanceSize.MEDIUM),
vpc,
vpcSubnets: { subnetType: ec2.SubnetType.PRIVATE_ISOLATED },
multiAz: true,
storageEncrypted: true,
credentials: rds.Credentials.fromGeneratedSecret('dbadmin'),
backupRetention: cdk.Duration.days(35),
deletionProtection: true,
removalPolicy: cdk.RemovalPolicy.RETAIN,
monitoringInterval: cdk.Duration.seconds(60),
});
Aurora Serverless v2 (CDK)
const cluster = new rds.DatabaseCluster(this, 'AuroraCluster', {
engine: rds.DatabaseClusterEngine.auroraPostgres({
version: rds.AuroraPostgresEngineVersion.VER_16_1,
}),
serverlessV2MinCapacity: 0.5,
serverlessV2MaxCapacity: 8,
writer: rds.ClusterInstance.serverlessV2('writer'),
readers: [
rds.ClusterInstance.serverlessV2('reader', { scaleWithWriter: true }),
],
vpc,
vpcSubnets: { subnetType: ec2.SubnetType.PRIVATE_ISOLATED },
credentials: rds.Credentials.fromGeneratedSecret('dbadmin'),
storageEncrypted: true,
backupRetention: cdk.Duration.days(35),
deletionProtection: true,
removalPolicy: cdk.RemovalPolicy.RETAIN,
});
Conexión desde Lambda
// Usar RDS Proxy para connection pooling
const proxy = new rds.DatabaseProxy(this, 'Proxy', {
proxyTarget: rds.ProxyTarget.fromInstance(db),
secrets: [db.secret!],
vpc,
requireTLS: true,
});
// En el Lambda handler
import { RDSDataClient, ExecuteStatementCommand } from '@aws-sdk/client-rds-data';
const rdsData = new RDSDataClient({});
const result = await rdsData.send(new ExecuteStatementCommand({
resourceArn: process.env.DB_CLUSTER_ARN,
secretArn: process.env.DB_SECRET_ARN,
database: 'mydb',
sql: 'SELECT * FROM orders WHERE user_id = :userId',
parameters: [{ name: 'userId', value: { stringValue: userId } }],
}));
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.
- 8d ago First seen · 132 lines · 39 tokens per session scan A b5e9eb9bbf31
aws-rds is a skill published in the GitHub repository eliecer2000/kiro-bootstrap (9 stars, last pushed 5mo ago), licensed MIT. It adds 39 tokens to every session and 1,311 once invoked, about $0.0002 per session on Opus 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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