
AWS Cost Cleanup
FreeAutomate the removal of unused AWS resources to save costs.
Free · Opens the source repo
What AWS Cost Cleanup does
AWS Cost Cleanup is a bash-based skill designed to help users automate the identification and removal of unused resources in their AWS accounts, ultimately leading to significant cost savings. This skill targets various resource types, including unattached EBS volumes, old EBS snapshots, incomplete S3 uploads, stopped EC2 instances, and more. By streamlining the cleanup process, it reduces the manual effort required to manage AWS resources effectively.
The skill operates in a structured workflow that includes a discovery phase to identify unused resources, a validation phase to verify their status, and an execution phase that allows for dry-run testing before actual deletions. Users can generate cost impact reports to assess potential savings and ensure that they are only removing resources that are genuinely unnecessary. Additionally, the skill provides safety checklists to minimize risks associated with resource deletion, ensuring that critical data is not lost in the process.
This skill is particularly useful for AWS administrators and DevOps engineers who need to manage cloud costs efficiently. By automating routine cleanup tasks, it allows teams to focus on more strategic initiatives while maintaining a lean and cost-effective cloud environment. The integration with AWS Organizations further enhances its utility, enabling users to run cleanup operations across multiple accounts seamlessly.
When to use it
Use this skill when you want to streamline the process of identifying and removing unused AWS resources to save on costs.
When not to use it
This skill may not be suitable for environments where resource management requires manual oversight or where dependencies between resources are complex and need careful evaluation.
What you can build with it
Identify Unused Resources
Run the skill to discover all unused AWS resources and generate a report detailing potential savings.
Automate Monthly Cleanup
Schedule the skill to automatically clean up old snapshots and unattached volumes every month.
Cross-Account Resource Management
Utilize the skill to check and clean up resources across multiple AWS accounts in your organization.
How to install AWS Cost Cleanup
View source1. Install with the skills CLI
npx skills add sickn33/agentic-awesome-skills/aws-cost-cleanup --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by sickn33AWS Cost Cleanup
Automate the identification and removal of unused AWS resources to eliminate waste.
When to Use This Skill
Use this skill when you need to automatically clean up unused AWS resources to reduce costs and eliminate waste.
Automated Cleanup Targets
Storage
- Unattached EBS volumes
- Old EBS snapshots (>90 days)
- Incomplete multipart S3 uploads
- Old S3 versions in versioned buckets
Compute
- Stopped EC2 instances (>30 days)
- Unused AMIs and associated snapshots
- Unused Elastic IPs
Networking
- Unused Elastic Load Balancers
- Unused NAT Gateways
- Orphaned ENIs
Cleanup Scripts
Safe Cleanup (Dry-Run First)
#!/bin/bash
# cleanup-unused-ebs.sh
echo "Finding unattached EBS volumes..."
VOLUMES=$(aws ec2 describe-volumes \
--filters Name=status,Values=available \
--query 'Volumes[*].VolumeId' \
--output text)
for vol in $VOLUMES; do
echo "Would delete: $vol"
# Uncomment to actually delete:
# aws ec2 delete-volume --volume-id $vol
done
#!/bin/bash
# cleanup-old-snapshots.sh
CUTOFF_DATE=$(date -d '90 days ago' --iso-8601)
aws ec2 describe-snapshots --owner-ids self \
--query "Snapshots[?StartTime<='$CUTOFF_DATE'].[SnapshotId,StartTime,VolumeSize]" \
--output text | while read snap_id start_time size; do
echo "Snapshot: $snap_id (Created: $start_time, Size: ${size}GB)"
# Uncomment to delete:
# aws ec2 delete-snapshot --snapshot-id $snap_id
done
#!/bin/bash
# release-unused-eips.sh
aws ec2 describe-addresses \
--query 'Addresses[?AssociationId==null].[AllocationId,PublicIp]' \
--output text | while read alloc_id public_ip; do
echo "Would release: $public_ip ($alloc_id)"
# Uncomment to release:
# aws ec2 release-address --allocation-id $alloc_id
done
S3 Lifecycle Automation
# Apply lifecycle policy to transition old objects to cheaper storage
cat > lifecycle-policy.json <<EOF
{
"Rules": [
{
"Id": "Archive old objects",
"Status": "Enabled",
"Transitions": [
{
"Days": 90,
"StorageClass": "STANDARD_IA"
},
{
"Days": 180,
"StorageClass": "GLACIER"
}
],
"NoncurrentVersionExpiration": {
"NoncurrentDays": 30
},
"AbortIncompleteMultipartUpload": {
"DaysAfterInitiation": 7
}
}
]
}
EOF
aws s3api put-bucket-lifecycle-configuration \
--bucket my-bucket \
--lifecycle-configuration file://lifecycle-policy.json
Cost Impact Calculator
#!/usr/bin/env python3
# calculate-savings.py
import boto3
from datetime import datetime, timedelta
ec2 = boto3.client('ec2')
# Calculate EBS volume savings
volumes = ec2.describe_volumes(
Filters=[{'Name': 'status', 'Values': ['available']}]
)
total_size = sum(v['Size'] for v in volumes['Volumes'])
monthly_cost = total_size * 0.10 # $0.10/GB-month for gp3
print(f"Unattached EBS Volumes: {len(volumes['Volumes'])}")
print(f"Total Size: {total_size} GB")
print(f"Monthly Savings: ${monthly_cost:.2f}")
# Calculate Elastic IP savings
addresses = ec2.describe_addresses()
unused = [a for a in addresses['Addresses'] if 'AssociationId' not in a]
eip_cost = len(unused) * 3.65 # $0.005/hour * 730 hours
print(f"\nUnused Elastic IPs: {len(unused)}")
print(f"Monthly Savings: ${eip_cost:.2f}")
print(f"\nTotal Monthly Savings: ${monthly_cost + eip_cost:.2f}")
print(f"Annual Savings: ${(monthly_cost + eip_cost) * 12:.2f}")
Automated Cleanup Lambda
import boto3
from datetime import datetime, timedelta
def lambda_handler(event, context):
ec2 = boto3.client('ec2')
# Delete unattached volumes older than 7 days
volumes = ec2.describe_volumes(
Filters=[{'Name': 'status', 'Values': ['available']}]
)
cutoff = datetime.now() - timedelta(days=7)
deleted = 0
for vol in volumes['Volumes']:
create_time = vol['CreateTime'].replace(tzinfo=None)
if create_time < cutoff:
try:
ec2.delete_volume(VolumeId=vol['VolumeId'])
deleted += 1
print(f"Deleted volume: {vol['VolumeId']}")
except Exception as e:
print(f"Error deleting {vol['VolumeId']}: {e}")
return {
'statusCode': 200,
'body': f'Deleted {deleted} volumes'
}
Cleanup Workflow
-
Discovery Phase (Read-only)
- Run all describe commands
- Generate cost impact report
- Review with team
-
Validation Phase
- Verify resources are truly unused
- Check for dependencies
- Notify resource owners
-
Execution Phase (Dry-run first)
- Run cleanup scripts with dry-run
- Review proposed changes
- Execute actual cleanup
-
Verification Phase
- Confirm deletions
- Monitor for issues
- Document savings
Safety Checklist
- Run in dry-run mode first
- Verify resources have no dependencies
- Check resource tags for ownership
- Notify stakeholders before deletion
- Create snapshots of critical data
- Test in non-production first
- Have rollback plan ready
- Document all deletions
Example Prompts
Discovery
- "Find all unused resources and calculate potential savings"
- "Generate a cleanup report for my AWS account"
- "What resources can I safely delete?"
Execution
- "Create a script to cleanup unattached EBS volumes"
- "Delete all snapshots older than 90 days"
- "Release unused Elastic IPs"
Automation
- "Set up automated cleanup for old snapshots"
- "Create a Lambda function for weekly cleanup"
- "Schedule monthly resource cleanup"
Integration with AWS Organizations
# Run cleanup across multiple accounts
for account in $(aws organizations list-accounts \
--query 'Accounts[*].Id' --output text); do
echo "Checking account: $account"
aws ec2 describe-volumes \
--filters Name=status,Values=available \
--profile account-$account
done
Monitoring and Alerts
# Create CloudWatch alarm for cost anomalies
aws cloudwatch put-metric-alarm \
--alarm-name high-cost-alert \
--alarm-description "Alert when daily cost exceeds threshold" \
--metric-name EstimatedCharges \
--namespace AWS/Billing \
--statistic Maximum \
--period 86400 \
--evaluation-periods 1 \
--threshold 100 \
--comparison-operator GreaterThanThreshold
Best Practices
- Schedule cleanup during maintenance windows
- Always create final snapshots before deletion
- Use resource tags to identify cleanup candidates
- Implement approval workflow for production
- Log all cleanup actions for audit
- Set up cost anomaly detection
- Review cleanup results weekly
Risk Mitigation
Medium Risk Actions:
- Deleting unattached volumes (ensure no planned reattachment)
- Removing old snapshots (verify no compliance requirements)
- Releasing Elastic IPs (check DNS records)
Always:
- Maintain 30-day backup retention
- Use AWS Backup for critical resources
- Test restore procedures
- Document cleanup decisions
Kiro CLI Integration
# Analyze and cleanup in one command
kiro-cli chat "Use aws-cost-cleanup to find and remove unused resources"
# Generate cleanup script
kiro-cli chat "Create a safe cleanup script for my AWS account"
# Schedule automated cleanup
kiro-cli chat "Set up weekly automated cleanup using aws-cost-cleanup"
Additional Resources
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Frequently asked questions about AWS Cost Cleanup
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