aws-iam

Validate AWS IAM edge cases and trust policies against official documentation.

5|Updated Apr 29, 2023
One-click install
npx skills add https://github.com/n4vysh/dotfiles --skill aws-iam-n4vysh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aws-iam
Source: https://github.com/n4vysh/dotfiles/tree/main/home/dot_agents/skills/aws-iam
Command: npx skills add https://github.com/n4vysh/dotfiles --skill aws-iam-n4vysh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identifies and corrects AI reasoning gaps for AWS IAM, focusing on edge cases, trust policies, STS session limits, Organizations quirks, and MFA specifics.

Core Features & Use Cases

  • Verified IAM edge cases across policy evaluation, MFA handling, and trust relationships, aligned with official AWS documentation.
  • Guidance to cross-check claims against AWS documentation rather than memory when answering IAM questions.
  • Use Case: When explaining IAM decisions or crafting IAM policies, rely on verified edge cases to ensure accuracy and safety.

Quick Start

Ask the AI to verify IAM edge-cases against official AWS documentation before finalizing any explanation.

Frequently Asked Questions about aws-iam

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does AWS IAM policy evaluation handle trust policies and MFA conditions?

AWS IAM policy evaluation validates trust policies and MFA conditions against official AWS documentation to identify and correct reasoning pitfalls, ensuring edge cases are verified for safe policy crafting.

What are common AWS IAM edge cases for STS session limits and Organizations?

Common AWS IAM edge cases involve STS session limits and Organizations quirks, which require verification against official AWS documentation to avoid memory-based assertion errors during policy explanations.

How do I verify AWS IAM trust policies and MFA edge cases for accuracy?

Verify AWS IAM trust policies and MFA edge cases by cross-checking AI explanations against official AWS documentation, validating STS limits and Organizations quirks with precise references to ensure accuracy.

Why do AWS IAM policy explanations conflict with STS session limits and Organizations quirks?

AWS IAM policy explanations conflict with STS session limits and Organizations quirks due to AI reasoning gaps, requiring validation against official AWS documentation to correct memory-based assertion errors.

When should I cross-check AWS IAM claims against official AWS documentation?

Cross-check AWS IAM claims against official AWS documentation before finalizing any explanation involving policy evaluation, trust policies, MFA handling, or STS limits to prevent reasoning pitfalls.

Can I rely on AI memory for AWS IAM Organizations quirks and MFA specifics?

Relying on AI memory for AWS IAM Organizations quirks and MFA specifics risks reasoning gaps, so verified edge cases aligned with official AWS documentation provide precise references instead of memory-based assertions.