skills/aws-cost-cleanup/SKILL.md
Automated cleanup of unused AWS resources to reduce costs
npx skillsauth add aaaaqwq/claude-code-skills aws-cost-cleanupInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Automate the identification and removal of unused AWS resources to eliminate waste.
Use this skill when you need to automatically clean up unused AWS resources to reduce costs and eliminate waste.
Storage
Compute
Networking
#!/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
# 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
#!/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}")
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'
}
Discovery Phase (Read-only)
Validation Phase
Execution Phase (Dry-run first)
Verification Phase
Discovery
Execution
Automation
# 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
# 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
Medium Risk Actions:
Always:
# 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"
testing
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development
# SKILL.md - Model Configuration Status (mcstatus) ## 触发条件 - `/mcstatus` 命令 - 用户询问模型配备、模型配置、model status、模型列表等 ## 功能 实时生成 Agent + Cron 的模型配置报告,展示当前所有 agent 的主模型/fallback链和所有 cron 任务的模型分配。 ## 执行步骤 ### Step 1: 收集 Agent 模型配置 读取各 agent 的 models.json 获取主模型和 fallback 链: ```bash for agent in main ops code quant data research content market finance pm law product sales batch; do config=$(cat ~/.openclaw/agents/$agent/agent/models.json 2>/dev/null) if [ -n "$config" ]; then echo "=== $agent
tools
MCP 服务器智能管理助手。自动检测 MCP 可用性、智能开关、功能问答,提供人性化的 MCP 管理体验。
tools
从GitHub搜索并自动安装配置MCP(Model Context Protocol)服务器工具到Claude配置文件。当用户需要安装MCP工具时触发此技能。工作流程:搜索GitHub上的MCP项目 -> 提取npx配置 -> 添加到~/.claude.json -> 处理API密钥(如有)。