About

Imported from terminalskills/skills (skills/cloud-resource-analyzer/SKILL.md). Install upstream with npx skills add terminalskills/skills --skill cloud-resource-analyzer. Copyright stays with the author (Apache-2.0).

Cloud Resource Analyzer

Name: cloud-resource-analyzer
Author: terminalskills

Overview

This skill scans cloud provider accounts for resources that are costing money but providing no value — orphaned storage volumes, stale snapshots, unattached elastic IPs, idle databases, and oversized instances. It produces a prioritized cleanup report with estimated savings and safe deletion scripts.

Instructions

Step 1: Determine Cloud Provider and Access

Check which CLI tools are available and configured:

aws sts get-caller-identity 2>/dev/null && echo "AWS: configured"
gcloud config get-value project 2>/dev/null && echo "GCP: configured"
az account show 2>/dev/null && echo "Azure: configured"

Step 2: Scan for Orphaned Storage (AWS Example)

# Unattached EBS volumes
aws ec2 describe-volumes --filters Name=status,Values=available \
  --query 'Volumes[].{ID:VolumeId,Size:Size,Type:VolumeType,Created:CreateTime,Tags:Tags}' \
  --output json

# Snapshots older than 90 days with no active AMI
aws ec2 describe-snapshots --owner-ids self \
  --query 'Snapshots[?StartTime<=`2025-11-01`].{ID:SnapshotId,Size:VolumeSize,Start:StartTime,Desc:Description}' \
  --output json

# Unassociated Elastic IPs
aws ec2 describe-addresses --query 'Addresses[?AssociationId==null].{IP:PublicIp,AllocID:AllocationId}' \
  --output json

Step 3: Scan for Idle Compute and Network

# Load balancers with no healthy targets
aws elbv2 describe-target-health --target-group-arn <arn> \
  --query 'TargetHealthDescriptions[?TargetHealth.State!=`healthy`]'

# RDS instances with < 5% average CPU over 14 days
aws cloudwatch get-metric-statistics --namespace AWS/RDS \
  --metric-name CPUUtilization --period 86400 --statistics Average \
  --start-time $(date -d '14 days ago' -Iseconds) --end-time $(date -Iseconds) \
  --dimensions Name=DBInstanceIdentifier,Value=<instance-id>

Step 4: Calculate Costs

Use these reference monthly costs for estimates:

EBS gp3: $0.08/GiB-month
EBS snapshots: $0.05/GiB-month
Elastic IP (unattached): $3.60/month
ALB idle: $16.20/month + LCU charges
NLB idle: $6.75/month

Step 5: Generate Cleanup Report

Organize findings by category with estimated monthly cost. Sort by savings descending. Include:

Resource ID, type, region
Creation date and relevant tags
Why it's considered orphaned/idle
Estimated monthly cost
Recommended action (delete, downsize, archive)

Step 6: Create Safe Cleanup Scripts

Generate scripts with:

--dry-run flag that only lists what would be deleted
Tag-based grace period (tag resources scheduled-for-deletion: <date+7d>)
Snapshot before delete for EBS volumes
Confirmation prompts for production resources

Examples

Example 1: Full AWS Audit

User prompt:

Scan our AWS account for wasted cloud resources

Agent output:

Cloud Resource Audit — AWS account 123456789012
Region: us-east-1
────────────────────────────────────────────────

STORAGE WASTE
  Unattached EBS volumes: 4 volumes, 450 GiB total          $36.00/mo
  Stale snapshots (>90 days, no AMI): 23 snapshots, 1.2 TiB $60.00/mo
  S3 buckets with no access in 90 days: 2 buckets, 340 GiB  $7.82/mo

NETWORK WASTE
  Unassociated Elastic IPs: 2                                $7.20/mo
  ALBs with 0 healthy targets: 1                             $16.20/mo
  NAT Gateway with <1GB/mo traffic: 1                        $32.40/mo

COMPUTE WASTE
  RDS db.r5.xlarge at 3% avg CPU: 1 instance                $274.00/mo
  → Recommend downsize to db.r5.large                        saves $137.00/mo

Total monthly waste: $296.62/mo ($3,559/year)

Example 2: Targeted EBS Cleanup

User prompt:

Find and clean up orphaned EBS volumes in us-west-2

Agent output:

Found 3 unattached EBS volumes in us-west-2:

vol-0abc123  200Gi gp3  Created: 2025-05-12  Tag: postgres-backup    $16.00/mo
vol-0def456  100Gi gp3  Created: 2025-08-30  Tag: jenkins-workspace  $8.00/mo
vol-0ghi789   50Gi gp2  Created: 2025-10-15  Tag: none               $5.00/mo

Cleanup script generated: cleanup-ebs-us-west-2.sh
  ./cleanup-ebs-us-west-2.sh --dry-run    # Preview only
  ./cleanup-ebs-us-west-2.sh --execute    # Tag for deletion in 7 days
  ./cleanup-ebs-us-west-2.sh --force      # Delete immediately (creates snapshots first)

Guidelines

Read-only by default — never delete resources without explicit user confirmation
Grace period pattern — always recommend tagging resources for deletion before actually deleting
Snapshot before delete — for EBS volumes, always create a snapshot before removal
Cross-reference dependencies — check if volumes are referenced by Terraform state, K8s PVCs, or backup policies before flagging
Multi-region — remind users to scan all active regions, not just the default
Cost estimates are approximate — based on on-demand pricing; reserved instances or savings plans may differ
Sensitive data — warn about volumes that might contain database data or secrets

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml

targets:
  - https://api.opensmartroute.ai/api/v1/registry/terminalskills-skills-cloud-resource-analyzer/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

terminalskills-skills-cloud-resource-analyzer.ocm.jsonjson

{
  "ocm": "1",
  "id": "terminalskills-skills-cloud-resource-analyzer",
  "kind": "skill",
  "name": "cloud-resource-analyzer",
  "description": "Finds orphaned, idle, and underutilized cloud resources across AWS, GCP, or Azure accounts. Use when someone needs to audit cloud spending, find unused EBS volumes, stale snapshots, unattached IPs, idle load balancers, or oversized RDS instances. Trigger words: cloud waste, orphaned resources, unused volumes, cloud audit, infrastructure cleanup, cloud bill analysis.",
  "publisher": "terminalskills",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "cloud",
      "cost-optimization",
      "aws",
      "infrastructure-audit",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Finds orphaned, idle, and underutilized cloud resources across AWS, GCP, or Azure accounts. Use when someone needs to audit cloud spending, find unused EBS volumes, stale snapshots, unattached IPs, idle load balancers, or oversized RDS instances. Trigger words: cloud waste, orphaned resources, unused volumes, cloud audit, infrastructure cleanup, cloud bill analysis."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/terminalskills/skills",
      "path": "skills/cloud-resource-analyzer/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/terminalskills/skills/blob/HEAD/skills/cloud-resource-analyzer/SKILL.md",
      "key": "terminalskills/skills/skills/cloud-resource-analyzer/SKILL.md"
    },
    "compatibility": "Requires AWS CLI, gcloud, or az CLI configured with read access",
    "license": "Apache-2.0"
  },
  "instructions": "# Cloud Resource Analyzer\n\n## Overview\n\nThis skill scans cloud provider accounts for resources that are costing money but providing no value — orphaned storage volumes, stale snapshots, unattached elastic IPs, idle databases, and oversized instances. It produces a prioritized cleanup report with estimated savings and safe deletion scripts.\n\n## Instructions\n\n### Step 1: Determine Cloud Provider and Access\n\nCheck which CLI tools are available and configured:\n\n```bash\naws sts get-caller-identity 2>/dev/null && echo \"AWS: configured\"\ngcloud config get-value project 2>/dev/null && echo \"GCP: config",
  "cost": {
    "context_tokens": 1255
  }
}

Fetch it by URL: GET /api/v1/registry/terminalskills-skills-cloud-resource-analyzer/manifest?version=1.0.0

Reviews

Star ratings from people who tried it. One review per account; edit yours any time.

No reviews yet. Install it, try it, and be the first to rate it.