Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add selvarajmurugesan90/ops-engineering-skills --skill orphaned-cloud-resource-cleanupgit clone --depth 1 https://github.com/selvarajmurugesan90/ops-engineering-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/selvarajmurugesan90/ops-engineering-skills/orphaned-cloud-resource-cleanup)<a href="https://agentmods.dev/skills/selvarajmurugesan90/ops-engineering-skills/orphaned-cloud-resource-cleanup"><img src="https://agentmods.dev/badge/skills/selvarajmurugesan90/ops-engineering-skills/orphaned-cloud-resource-cleanup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/selvarajmurugesan90/ops-engineering-skills/orphaned-cloud-resource-cleanup"><img src="https://agentmods.dev/badge/skills/selvarajmurugesan90/ops-engineering-skills/orphaned-cloud-resource-cleanup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00159 | $0.04378 |
| Opus 5.5 | $0.00064 | $0.01751 |
| Sonnet 5.5 | $0.00032 | $0.00876 |
| Haiku 4.5 | $0.00016 | $0.00438 |
Grade A, and why
orphaned-cloud-resource-cleanup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orphaned Cloud Resource Cleanup
Purpose
Every cloud account accumulates a background hum of resources that outlived the thing they were attached to: an EBS volume/managed disk left behind after its instance was terminated, an Elastic IP/Public IP reserved for a test that was never released, a load balancer or target group pointing at a service that was decommissioned months ago, a manual snapshot taken "just in case" before a change that was never cleaned up afterward. None of these show up as a dramatic cost spike — each is individually cheap — but collectively, across dozens of accounts and years of accumulation, they become a steady, invisible tax. This skill covers finding these specific classes of orphaned resource and removing them safely, with the non-negotiable discipline that "looks unattached" and "is confirmed unused" are not the same thing — a resource detached from its original parent can still be an intentional backup, a disaster-recovery artifact, or something a team meant to reattach next sprint.
When to use
- A recurring or one-off request to reduce cloud waste by cleaning up unattached storage, unused reserved IPs, or orphaned network resources.
- A cost review or cloud-cost-anomaly-investigation identifies a resource that appears unused and hands it off for confirmed, safe removal.
- Preparing an account/subscription for decommissioning and needing a complete sweep of everything left behind by long-terminated workloads.
- A cloud provider's own trusted-advisor/cost-recommendation tooling (AWS Trusted Advisor, Azure Advisor) flags idle resources and someone needs to action the list rather than let it sit.
- Setting up a recurring scheduled check for orphaned resources instead of a one-time manual sweep.
Prerequisites & environment
- Read access to list resources and their attachment state: AWS CLI
(
ec2,elb/elbv2) or Trusted Advisor, Azure CLI (az disk,az network public-ip,az network lb) or Azure Advisor,gcloud computefor the GCP equivalents (persistent disks, static external IP addresses, forwarding rules/load balancers). - Delete/release permissions scoped narrowly to the resource types being cleaned up — not a broad admin role — per cloud-iam-hardening; a cleanup script should not be able to touch resources outside its stated scope.
- A tagging/labeling convention (
owner,environment,decommission-date) to check before deleting anything — per cloud-cost-finops-optimization — since tag absence is itself a reason for extra caution, not a green light to delete faster. - Awareness of, and a check against, any active disaster-recovery-and-backup-strategy plan for the account/subscription — DR-pattern resources (a pilot-light database replica, a cross-region backup vault, a manually retained pre-migration snapshot) can look identical to genuine orphans from a pure "is it attached right now" query.
- A grace-period/quarantine mechanism (a tag, a holding folder/resource group, or a "stop, don't delete" first pass) rather than immediate hard deletion for the first pass of any new cleanup process.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 352 lines · 159 tokens per session scan A 25700a76794f
orphaned-cloud-resource-cleanup is a skill published in the GitHub repository selvarajmurugesan90/ops-engineering-skills (42 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 159 tokens to every session and 4,378 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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