Orphaned Resource Reconciler
Safely detect, verify, quarantine, and clean up orphaned cloud resources after failed provisioning, deletions, or database drift.
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Works with the AI tools you already use
See it in action
You say
Orphan Drift Found:
- Confirmed orphans: 3 S3 buckets, 1 EC2 instance
- Local state: Missing ownership records
- Provider state: Active / billable
- Ownership evidence: Verified from provider IDs and operation history
- Action: Resources quarantined from automatic deletion
- Repair: Ownership tracking and idempotent reconciliation logic added
- Ambiguous resources: Preserved for manual review
Your agent does
Orphan Drift Found:
- Confirmed orphans: 3 S3 Buckets, 1 EC2 Instance
- Resource type: aws_s3_bucket, aws_instance
- Local state: Missing ownership records
- Provider state: Active/Billable
- Repair Applied: Ownership tracking added, 4 resources quarantined for 24h.
What you get
About this skill
Cloud resources can survive failed provisioning, partial deletions, crashed workers, and database rollbacks. These orphaned VMs, buckets, DNS records, queues, and other resources can keep generating costs and create security risks long after the application has lost track of them.
Orphaned Resource Reconciler helps an AI coding agent safely identify and repair this drift.
What it does:
- Inventories external cloud resources and compares them with local ownership records.
- Establishes ownership using stable operation IDs and provider-native identifiers.
- Detects duplicate provisioning, partial deletion, and stale infrastructure.
- Quarantines ambiguous resources instead of deleting them blindly.
- Builds idempotent cleanup workflows with state verification before destructive actions.
- Reconciles provider state after failed operations, retries, or database recovery.
Unlike simple cleanup prompts, this skill does not assume that every unmatched cloud resource is safe to delete. It requires strong ownership evidence and protects shared or ambiguous infrastructure.
Ideal for SaaS platforms, cloud automation, infrastructure tooling, preview environments, provisioning systems, and DevOps workflows.
Known limitation: Resources with ambiguous ownership are not automatically deleted. The workspace should provide appropriate cloud-provider adapters and a local ownership model.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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