What problem does it solve? S3 buckets are frequently misconfigured with public access, missing encryption, or no logging, leading to data exposure and compliance failures. This Skill guides an AI agent through AWS best-practice workflows to secure new buckets, audit existing ones, and remediate findings safely. ## Core Features & Use Cases - Five Security Workflows: Secure new buckets (versioning, SSE-S3 encryption, HTTPS enforcement, ABAC), audit existing buckets against a severity-ranked checklist, remediate specific findings, configure encryption (SSE-S3 or customer-managed KMS), and enable monitoring via GuardDuty, CloudTrail, and AWS Config rules. - Safe Policy Management: Enforces backup-and-merge rules for put-bucket-policy so existing policy statements are never silently overwritten. - Use Case: A security engineer asks the agent to audit a production bucket. The agent runs read-only checks for Block Public Access, encryption, versioning, logging, and GuardDuty, then reports each control as PASS, FAIL, or NOT CONFIGURED with severity, and offers remediation commands for failures. ## Quick Start Ask the agent to audit the security configuration of your S3 bucket named 'my-app-data' in us-east-1 and report any findings.