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 alinaqi/maggy --skill aws-auroragit clone --depth 1 https://github.com/alinaqi/maggyWrote 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/alinaqi/maggy/aws-aurora)<a href="https://agentmods.dev/skills/alinaqi/maggy/aws-aurora"><img src="https://agentmods.dev/badge/skills/alinaqi/maggy/aws-aurora/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/alinaqi/maggy/aws-aurora"><img src="https://agentmods.dev/badge/skills/alinaqi/maggy/aws-aurora.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 300 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 442 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 445 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 448 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 457 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 469 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00021 | $0.04000 |
| Opus 5 | $0.00010 | $0.02000 |
| Sonnet 5 | $0.00004 | $0.00800 |
| Haiku 4.5 | $0.00002 | $0.00400 |
Grade A, and why
aws-aurora scanned grade A with 1 finding 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 12d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
import { execSync } from 'child_process'; How it starts
The opening of the file, as written. The whole thing — 645 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Aurora Skill
Amazon Aurora is a MySQL/PostgreSQL-compatible relational database with serverless scaling, high availability, and enterprise features.
Sources: Aurora Docs | Serverless v2 | RDS Proxy
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)
// 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)
});
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.
- 12d ago First seen · 645 lines · 21 tokens per session scan A 2492b6ac9cc8
aws-aurora is a skill published in the GitHub repository alinaqi/maggy (707 stars, last pushed 3d ago), licensed MIT. It adds 21 tokens to every session and 4,000 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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