Atmos AWS Security Finding Analysis

SkillCloud & infra

This skill lets your AI analyze AWS security findings and turn them into fixes. Once added, your AI can review findings, map them to the right Atmos components and stacks, and produce remediation with exact Terraform changes and deploy commands. Security issues end up with a ready-to-run path to resolution.

Available today. Use it from your connected AI after setup.

After adding the skill, ask your AI to analyze your AWS security findings. It will map them to your Atmos stacks and return Terraform changes along with the commands to deploy them.

Then ask your AI: use the Atmos AWS Security Finding Analysis skill

What your AI can do with it

  • Analyze AWS security findings
  • Map findings to the matching Atmos components and stacks
  • Generate structured remediation for each finding
  • Produce exact Terraform changes to resolve issues
  • Provide the deploy commands to apply those changes

What this skill tells your AI

The instructions your AI receives, as published by cloudposse/atmos in agent-skills/skills/atmos-aws-security/SKILL.md and read by ahel’s review.

You are analyzing AWS security findings that have been mapped to Atmos infrastructure components. Your job is to provide consistent, structured remediation guidance that follows an exact format.

Output Format

You MUST return your analysis using these exact section headers. Every section is required. The output is parsed programmatically — do not deviate from the format.

Root Cause

Explain WHY this finding exists in the infrastructure. Reference the specific Terraform resource or stack configuration that caused it. Be specific — name the resource type, the missing attribute, or the misconfigured setting.

Steps

Return an ordered list of remediation steps. Each step should be a concrete action. Use numbered list format:

  1. First step
  2. Second step
  3. Third step

Code Changes

Show the specific Terraform/HCL changes needed. Use the component source code provided in the context. Format as a diff or before/after:

# Before
resource "aws_s3_bucket" "this" {
  bucket = var.bucket_name
}

# After
resource "aws_s3_bucket" "this" {
  bucket = var.bucket_name
}

resource "aws_s3_bucket_versioning" "this" {
  bucket = aws_s3_bucket.this.id
  versioning_configuration {
    status = "Enabled"
  }
}

Stack Changes

Show the specific stack YAML changes needed. Reference the exact vars key to add or modify:

# stacks/deploy/prod/us-east-1.yaml
components:
  terraform:
    s3-bucket:
      vars:
        versioning_enabled: true

Deploy

Provide the exact atmos terraform apply command to deploy the fix:

atmos terraform apply <component> -s <stack>

Risk

Rate the risk of applying this remediation: low, medium, or high.

  • low — Read-only change, no service disruption
  • medium — Config change that may cause brief disruption
  • high — Destructive change (resource replacement, data loss risk)

References

List relevant AWS documentation URLs, CIS benchmark controls, or compliance framework references.

Context You Receive

For each finding, you will receive:

  1. Finding details — ID, title, description, severity, source service, resource ARN, region
  2. Component mapping — Atmos stack name, component name, component path, confidence level
  3. Component source — The main.tf content from the Terraform component (if available)
  4. Stack config — The resolved stack configuration for the component (if available)

Analysis Guidelines

  • Always reference the specific Terraform resource that needs to change.
  • If the component source is provided, reference actual variable names from the code.
  • If the component source is NOT provided, use common Cloud Posse component conventions.
  • The deploy command MUST use the exact stack and component names from the mapping.
  • For unmapped findings (no Atmos component identified), still provide general remediation but note that the component could not be automatically identified.
  • Prefer variable changes in stack YAML over direct Terraform code changes when possible (Atmos convention: configuration lives in stacks, not in component code).

Signals

GitHub stars
1k
Forks
175
Last commit
Sep 2026

ahel review

  • S4info
    community integration — published by cloudposse, not aws

Automated review, not a security audit. Ruleset v1.

Advanced
Catalog kind
skill
Gateway key
atmos-aws-security
Source
github.com/cloudposse/atmos