Agent skill · Audited from source

Aws Aurora

skill · alinaqi/claude-bootstrapMIT licenceAudited 14 Oct 2026 · source ea59a0c53d79

★ 707pushed today
✓SAFEGrade B · 89/100 · 14 Oct 2026 · ea59a0c
707repo stars · whole alinaqi/claude-bootstrap

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit ea59a0c53d79 and found no filesystem, network or shell access and no hard-coded secrets. What it does: AWS Aurora Serverless v2, RDS Proxy, Data API, connection pooling

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Cite this page

ModelsAtlas. “Aws Aurora (alinaqi/claude-bootstrap)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/alinaqi/aws-aurora

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha ea59a0c53d79 · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisheralinaqi GitHub userOwner of the repository this skill is read from
  • Source folderalinaqi/claude-bootstrap/skills/aws-auroraThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdictea59a0c53d79A new audit runs when the source changes
  • Repository statusNot archivedPushed today
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: AWS Aurora Serverless v2, RDS Proxy, Data API, connection pooling

---
name: aws-aurora
description: AWS Aurora Serverless v2, RDS Proxy, Data API, connection pooling
when-to-use: When working with AWS Aurora/RDS databases
user-invocable: false
paths: ["**/rds*", "**/aurora*", "serverless.*", "template.yaml"]
effort: medium
---

# AWS Aurora Skill


Amazon Aurora is a MySQL/PostgreSQL-compatible relational database with serverless scaling, high availability, and enterprise features.

**Sources:** [Aurora Docs](https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/) | [Serverless v2](https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless-v2.html) | [RDS Proxy](https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/rds-proxy.html)

---

## Core Principle

**Use RDS Proxy for serverless, Data API for simplicity, connection pooling always.**

Aurora excels at ACID-compliant workloads. For serverless architectures (Lambda), always use RDS Proxy or Data API to handle connection management. Never open raw connections from Lambda functions.

---

## Aurora Options

| Option | Best For |
|--------|----------|
| **Aurora Serverless v2** | Variable workloads, auto-scaling (0.5-128 ACUs) |
| **Aurora Provisioned** | Predictable workloads, maximum performance |
| **Aurora Global** | Multi-region, disaster recovery |
| **Data API** | Serverless without VPC, simple HTTP access |
| **RDS Proxy** | Connection pooling for Lambda, high concurrency |

---

## Connection Strategies

### Strategy 1: RDS Proxy (Recommended for Lambda)
```
Lambda → RDS Proxy → Aurora
         (pool)
```
- Connection pooling and reuse
- Automatic failover handling
- IAM authentication support
- Works with existing SQL clients

### Strategy 2: Data API (Simplest for Serverless)
```
Lambda → Data API (HTTP) → Aurora
```
- No VPC required
- No connection management
- Higher latency per query
- Limited to Aurora Serverless

### Strategy 3: Direct Connection (Not for Lambda)
```
App Server → Aurora
(persistent connection)
```
- Only for long-running servers (ECS, EC2)
- Manage connection pool yourself
- Not suitable for serverless

---

## RDS Proxy Setup

### Create Proxy (AWS Console/CDK)
```typescript
// CDK example
import * as rds from 'aws-cdk-lib/aws-rds';

const proxy = new rds.DatabaseProxy(this, 'Proxy', {
  proxyTarget: rds.ProxyTarget.fromCluster(cluster),
  secrets: [cluster.secret!],
  vpc,
  securityGroups: [proxySecurityGroup],
  requireTLS: true,
  idleClientTimeout: cdk.Duration.minutes(30),
  maxConnectionsPercent: 90,
  maxIdleConnectionsPercent: 10,
  borrowTimeout: cdk.Duration.seconds(30)
});
```

### Connect via Proxy (TypeScript/Node.js)
```typescript
// lib/db.ts
import { Pool } from 'pg';
import { Signer } from '@aws-sdk/rds-signer';

const signer = new Signer({
  hostname: process.env.RDS_PROXY_ENDPOINT!,
  port: 5432,
  username: process.env.DB_USER!,
  region: process.env.AWS_REGION!
});

// IAM authentication
async function getPool(): Promise<Pool> {
  const token = await signer.getAuthToken();

  return new Pool({
    host: process.env.RDS_PROXY_ENDPOINT,
    port: 5432,
    database: process.env.DB_NAME,
    user: process.env.DB_USER,
    password: token,
    ssl: { rejectUnauthorized: true },
    max: 1,  // Single connection for Lambda
    idleTimeoutMillis: 120000,
    connectionTimeoutMillis: 10000
  });
}

// Usage in Lambda
let pool: Pool | null = null;

export async function handler(event: any) {
  if (!pool) {
    pool = await getPool();
  }

  const result = await pool.query('SELECT * FROM users WHERE id = $1', [event.userId]);
  return result.rows[0];
}
```

### Proxy Configuration Best Practices
```bash
# Key settings for Lambda workloads
MaxConnectionsPercent: 90        # Use most of DB connections
MaxIdleConnectionsPercent: 10    # Keep some idle for bursts
ConnectionBorrowTimeout: 30s     # Wait for available connection
IdleClientTimeout: 30min         # Close idle proxy connections

# Monitor these CloudWatch metrics:
# - DatabaseConnectionsCurrentlyBorrowed
# - DatabaseConnectionsCurrentlySessionPinned
# - QueryDatabaseResponseLatency
```

---

## Data API (HTTP-based)

### Enable Data API
```bash
# Must be Aurora Serverless
aws rds modify-db-cluster \
  --db-cluster-identifier my-cluster \
  --enable-http-endpoint
```

### TypeScript with Data API Client v2
```bash
npm install data-api-client
```

```typescript
// lib/db.ts
import DataAPIClient from 'data-api-client';

const db = DataAPIClient({
  secretArn: process.env.DB_SECRET_ARN!,
  resourceArn: process.env.DB_CLUSTER_ARN!,
  database: process.env.DB_NAME!,
  region: process.env.AWS_REGION!
});

// Simple query
const users = await db.query('SELECT * FROM users WHERE active = :active', {
  active: true
});

// Insert with returning
const result = await db.query(
  'INSERT INTO users (email, name) VALUES (:email, :name) RETURNING *',
  { email: '[email protected]', name: 'Test User' }
);

// Transaction
const transaction = await db.transaction();
try {
  await transaction.query('UPDATE accounts SET balance = balance - :amount WHERE id = :from', {
    amount: 100, from: 1
  });
  await transaction.query('UPDATE accounts SET balance = balance + :amount WHERE id = :to', {
    amount: 100, to: 2
  });
  await transaction.commit();
} catch (error) {
  await transaction.rollback();
  throw error;
}
```

### Python with boto3
```python
# requirements.txt
boto3>=1.34.0

# db.py
import boto3
import os

rds_data = boto3.client('rds-data')

CLUSTER_ARN = os.environ['DB_CLUSTER_ARN']
SECRET_ARN = os.environ['DB_SECRET_ARN']
DATABASE = os.environ['DB_NAME']


def execute_sql(sql: str, parameters: list = None):
    """Execute SQL via Data API."""
    params = {
        'resourceArn': CLUSTER_ARN,
        'secretArn': SECRET_ARN,
        'database': DATABASE,
        'sql': sql
    }

    if parameters:
        params['parameters'] = parameters

    return rds_data.execute_statement(**params)


def get_user(user_id: int):
    result = execute_sql(
        'SELECT * FROM users WHER

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit ea59a0c

Download folder ↗
npm install data-api-client
npm install prisma @prisma/client

Commands as the repository documents them: shown, never run by us. Our verdict covers commit ea59a0c53d79 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source ea59a0c53d79

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
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Add this badge to your README

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Questions about Aws Aurora

What does the Aws Aurora skill do?
What started as an opinionated Claude Code setup kit is now an autonomous AI engineering command center
Is Aws Aurora safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Aws Aurora access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (ea59a0c53d79), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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