aws-well-architected-review
Perform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
Install / Use
npx skills add github/awesome-copilot --skill aws-well-architected-reviewInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of aws-well-architected-review
aws-well-architected-review scores 91/100 on our quality scale, 590th of 1,943 Automation skills we index (top 31%).
Its SKILL.md is 7.4 KB long, well organised into 24 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.
With 39,348 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 3 days ago, so aws-well-architected-review is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
aws-well-architected-review compared with similar skills
All 4 of these similar skills score higher than aws-well-architected-review; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| aws-well-architected-review (this skill)by github | 91 | 39.3k | 3d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.7k | 12d ago | CLAUDE.md |
| rufloby ruvnet | 100 | 73.4k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 84.0k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 5d ago | SKILL.md |
Frequently asked questions
- How do I install aws-well-architected-review?
- Run
npx skills add github/awesome-copilot --skill aws-well-architected-review. The install tabs above show the steps for each supported agent. - Which AI agents does aws-well-architected-review work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is aws-well-architected-review safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is aws-well-architected-review still maintained?
- The repository was last updated 3 days ago, so aws-well-architected-review is actively maintained.
Skill content
View source on GitHubname: aws-well-architected-review description: 'Perform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.'
AWS Well-Architected Review
This workflow performs a structured AWS Well-Architected Framework (WAF) review against your workload's IaC files and deployed infrastructure. It identifies risks across all 6 WAF pillars and creates GitHub issues to track remediation.
Prerequisites
- AWS CLI configured and authenticated
- IaC files present in the repository (Terraform, CloudFormation, CDK, or SAM)
- GitHub MCP server configured and authenticated
Workflow Steps
Step 1: Load Well-Architected Framework Reference
Fetch current AWS WAF best practices:
https://docs.aws.amazon.com/wellarchitected/latest/framework/welcome.html- Pillar-specific lenses relevant to the workload type (Serverless, SaaS, etc.)
Step 2: Discover IaC & Architecture
Scan the repository for IaC files:
- Terraform:
**/*.tf - CloudFormation/SAM:
**/*.yaml,**/*.json(CFn templates) - CDK:
lib/**/*.ts,bin/**/*.ts,cdk.json
Identify key AWS services in use (compute, data, networking, security, observability) and generate a Mermaid architecture diagram.
Step 3: Pillar-by-Pillar Review
Pillar 1: Operational Excellence
- [ ] All infrastructure defined as IaC (no manual console changes)
- [ ] Consistent tagging strategy applied across all resources
- [ ] CloudWatch alarms defined for key metrics
- [ ] Automated deployment pipeline present (no manual deployments)
- [ ] CloudTrail enabled for audit logging
- [ ] Runbooks or operational documentation present
Pillar 2: Security
- [ ] IAM roles use least-privilege policies (no
*actions without justification) - [ ] No hardcoded credentials in IaC or code
- [ ] Secrets managed via Secrets Manager or SSM Parameter Store
- [ ] S3 buckets have public access blocked and server-side encryption enabled
- [ ] Sensitive resources placed in private subnets
- [ ] Security groups restrict inbound to minimum required ports/CIDRs
- [ ] KMS encryption enabled for sensitive data stores (RDS, EBS, S3, SQS, DynamoDB)
- [ ] SSL/TLS enforced on all endpoints (
enforceSSL: true) - [ ] GuardDuty enabled (
aws guardduty list-detectors) - [ ] AWS WAF configured on public-facing APIs and CloudFront distributions
- [ ] MFA delete enabled on critical S3 buckets
Pillar 3: Reliability
- [ ] Multi-AZ deployments for production databases (RDS Multi-AZ, DynamoDB Global Tables)
- [ ] Auto Scaling configured with appropriate policies for EC2/ECS
- [ ] S3 versioning and lifecycle policies configured
- [ ] RDS automated backups enabled with appropriate retention period
- [ ] DynamoDB Point-in-Time Recovery (PITR) enabled
- [ ] Dead Letter Queues (DLQ) configured for Lambda, SQS, SNS
- [ ] Route 53 health checks configured for DNS failover
- [ ] Lambda reserved concurrency set to prevent noisy-neighbor throttling
Pillar 4: Performance Efficiency
- [ ] Right-sized instance types (Lambda memory, EC2 type, RDS class)
- [ ] Graviton/ARM instances used where available (Lambda
arm64, EC2 Graviton) - [ ] Caching implemented (ElastiCache, DAX, CloudFront, API Gateway caching)
- [ ] CloudFront used for global static content delivery
- [ ] Aurora Serverless or DynamoDB On-Demand for variable load patterns
- [ ] Lambda Provisioned Concurrency for latency-critical synchronous paths
Pillar 5: Cost Optimization
- [ ] EC2 Reserved Instances or Savings Plans for steady-state workloads
- [ ] S3 lifecycle policies moving data to cheaper storage tiers
- [ ] Lambda
arm64architecture adopted (20% cost reduction) - [ ] VPC Endpoints for S3/DynamoDB to avoid NAT Gateway charges
- [ ] gp2 EBS volumes migrated to gp3 (same performance, 20% cheaper)
- [ ] Development/test environments have auto-shutdown schedules
- [ ] AWS Budgets and Cost Anomaly Detection configured
- [ ] Unattached EBS volumes and idle EC2 instances identified
Pillar 6: Sustainability
- [ ] Graviton/ARM instances selected where available
- [ ] Serverless/managed services preferred over always-on EC2
- [ ] S3 lifecycle policies reduce unnecessary long-term data storage
- [ ] Auto Scaling configured to avoid over-provisioning
- [ ] Region selection considers AWS renewable energy commitments
Step 4: Risk Classification
For each finding, classify:
- High Risk: Security vulnerability, single point of failure, no backup/recovery
- Medium Risk: Suboptimal reliability, cost inefficiency, performance concern
- Low Risk: Best practice deviation, minor optimization opportunity
Step 5: User Confirmation
🏗️ AWS Well-Architected Review Summary
📊 Review Results:
• IaC Files Analyzed: X
• AWS Services Identified: Y
• Total Findings: Z
• High Risk: A (immediate action required)
• Medium Risk: B (should address soon)
• Low Risk: C (nice to have)
🔴 Top High Risk Findings:
1. [Pillar]: [Finding] — [Why it matters]
2. [Pillar]: [Finding] — [Why it matters]
💡 This will create Z individual GitHub issues + 1 EPIC issue.
❓ Proceed with creating GitHub issues? (y/n)
Step 6: Create Individual Finding Issues
Label with "well-architected" and the pillar name (e.g., "security", "reliability").
Title: [WAF-<PILLAR>] [Brief Finding] — [Risk Level]
Body:
## 🏗️ Well-Architected Finding: [Brief Title]
**Pillar**: [Name] | **Risk Level**: [High/Medium/Low] | **Effort**: [Low/Medium/High]
### 📋 Description
[Clear explanation of the finding and why it matters]
### 🔧 Remediation
**IaC Fix** (preferred):
```hcl
# Terraform example
resource "aws_s3_bucket_server_side_encryption_configuration" "example" {
bucket = aws_s3_bucket.example.id
rule {
apply_server_side_encryption_by_default {
sse_algorithm = "aws:kms"
}
}
}
```
**AWS CLI fallback**:
```bash
aws s3api put-bucket-encryption --bucket <name> \
--server-side-encryption-configuration '{"Rules":[{"ApplyServerSideEncryptionByDefault":{"SSEAlgorithm":"aws:kms"}}]}'
```
### 📚 AWS Reference
- [WAF Best Practice Link]
- [AWS Documentation Link]
### ✅ Validation
- [ ] Change implemented in IaC and deployed
- [ ] AWS Config rule passes (if applicable)
- [ ] Security Hub finding resolved (if applicable)
**Well-Architected Question**: [WAF question this maps to]
Step 7: Create EPIC Tracking Issue
Label with "well-architected" and "epic".
Title: [EPIC] AWS Well-Architected Review — X findings across 6 pillars
Body: Executive summary with pillar breakdown table (finding counts by pillar and risk level), Mermaid architecture diagram, prioritized checklist linking all individual issues (High → Medium → Low), and success criteria:
- All High-risk findings resolved
- Medium findings have accepted mitigation plans
- No regression in existing CloudWatch alarms or Config rules
Error Handling
- No IaC Files Found: Limit review to live resource discovery via AWS CLI and note the gap
- Insufficient AWS Permissions: List required read-only permissions for the review
- GitHub Creation Failure: Output all findings as formatted markdown to console
Success Criteria
- ✅ All 6 WAF pillars reviewed against IaC and live infrastructure
- ✅ All findings classified by risk level and pillar
- ✅ Actionable remediation steps with IaC examples for each finding
- ✅ GitHub issues created for team tracking
- ✅ Architecture diagram generated for EPIC context
- ✅ AWS documentation references included
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
