Categorize Template Differences by Risk Level

Problem Description

Your comparison script has identified the following differences between deployed and local templates:

Changes Found:

• 2 resources added (new CloudWatch alarms)
• 1 resource removed (old S3 bucket lifecycle policy)
• 5 resources modified:
  • Updated GitRef tag on multiple resources
  • Changed alarm threshold from 80 to 90
  • Modified IAM policy to add new S3 bucket permissions
  • Added new CDK Nag suppression for AwsSolutions-IAM5
  • Updated Lambda function memory from 128 to 256

Your deployment lead needs these changes categorized by risk level to make an informed deployment decision.

Output Specification

Create a file risk-assessment.md that:

1. Risk Categories: Define or list the risk categories used for classification (Expected, Low, Medium, High, Critical)

2. Change Classification: Categorize each of the identified changes into the appropriate risk level with reasoning

3. Risk Category Table: Include a table that maps types of changes to risk levels (similar to the skill's reference table)

4. Deployment Recommendation: Based on the risk assessment, provide a clear deployment decision:

   • Auto-approve (all expected/low risk)
   • Approve with review (medium risk present)
   • Require sign-off (high risk)
   • Block deployment (critical issues)

5. Required Actions: List specific actions required before deployment based on the risk levels found

The assessment should demonstrate understanding of what constitutes different risk levels and appropriate responses.