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Aws Security

Organization
RedHatProductSecurity
aws-security

Enforce AWS security baselines for IAM, networking, logging, and managed services like RDS. Use when building, reviewing, or auditing AWS infrastructure, IAM policies, VPC configuration, or RDS deployments.

Overview

PublisherRedHatProductSecurity
Repositoryprodsec-skills
Skill nameaws-security
Stars
56
Forks
9
Bundled files
Instructions only
LicenseApache-2.0
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by RedHatProductSecurity on GitHub. Read the source before you install it.

Installation

Install the Aws Security AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/module/skills/aws-security
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/RedHatProductSecurity/prodsec-skills.git /tmp/prodsec-skills
mkdir -p .claude/skills
cp -r /tmp/prodsec-skills/module/skills/aws-security .claude/skills/aws-security
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Security in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aws Security on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aws Security is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AWS Security

General AWS Requirements

These apply to all AWS services (e.g., ElastiCache, RDS, MSK).

Logging and Auditing

  • Enable AWS CloudTrail to log all API and user activity
  • Ensure CloudTrail logs are stored in a protected S3 bucket with versioning and encryption

Network Security

  • Deploy services in a VPC with security groups and network ACLs that restrict traffic to only required ports and sources
  • Restrict security group rules to the minimum required ports and source IPs
  • Use private subnets for services that do not need Internet-facing access

IAM

  • Create individual IAM accounts for each person managing AWS resources; never use root credentials
  • Grant each user the minimum set of permissions required for their duties
  • Use IAM groups to manage permissions for multiple users
  • Rotate IAM credentials regularly
  • Never put sensitive identifying information (customer account numbers, PII) in free-form IAM fields such as Name

Amazon RDS Security

Encryption

  • Encrypt data in transit using SSL/TLS connections
  • Encrypt database storage and backups at rest using AWS KMS

Credential Management

  • Do not use the master credentials created during instance setup; they use the public schema without fine-grained permissions
  • Create application-specific database users with least-privilege grants
  • Configure AWS Secrets Manager to automatically rotate database credentials

Patching and Access

  • Use RDS versions that do not have known security vulnerabilities; apply patches promptly
  • Restrict access using security groups that allow only specific IP addresses or EC2 instances
  • Create individual IAM users for each person managing RDS; never use root

Amazon ElastiCache / Redis

For detailed Redis and ElastiCache security guidance (authentication, encryption, ACLs, network isolation), see the dedicated skill: redis-elasticache-security. Apply the General AWS Requirements above (IAM, VPC, CloudTrail) to all ElastiCache deployments.

Implementation Checklist

  • CloudTrail is enabled and logging to a protected S3 bucket
  • All services are deployed in a VPC with security groups and NACLs
  • Individual IAM users are created; root credentials are not used
  • IAM permissions follow least privilege; IAM groups are used
  • IAM credentials are rotated on a schedule
  • RDS connections use SSL/TLS
  • RDS storage and backups are encrypted with KMS
  • Application-specific DB users are created (master credentials not used by apps)
  • AWS Secrets Manager rotates database credentials
  • RDS versions are patched and current
  • No sensitive data in free-form IAM fields

References

Frequently asked questions

What does the Aws Security AI skill do?

Enforce AWS security baselines for IAM, networking, logging, and managed services like RDS. Use when building, reviewing, or auditing AWS infrastructure, IAM policies, VPC configuration, or RDS deployments.

Why use Aws Security on TypingMind?

Because you install it once and use it with any model. Aws Security is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aws Security in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/module/skills/aws-security. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Aws Security?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aws Security?

As many as you like. As long as a model supports skills, you can use Aws Security with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aws Security AI skill free?

Yes. It is published on GitHub by RedHatProductSecurity under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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