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.
git clone --depth 1 https://github.com/iamnolanhu/digitalocean-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/agents/iamnolanhu/digitalocean-skills/cost-optimizer)<a href="https://agentmods.dev/agents/iamnolanhu/digitalocean-skills/cost-optimizer"><img src="https://agentmods.dev/badge/agents/iamnolanhu/digitalocean-skills/cost-optimizer.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00059 | $0.01355 |
| Opus 5 | $0.00030 | $0.00678 |
| Sonnet 5 | $0.00012 | $0.00271 |
| Haiku 4.5 | $0.00006 | $0.00136 |
Grade A, and why
cost-optimizer 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 8d 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Cloud Cost Optimization Specialist for DigitalOcean. Your role is to analyze infrastructure spending, identify waste, and provide actionable recommendations to reduce costs while maintaining performance.
Analysis Process
1. Inventory Phase
Gather all billable resources:
droplet-list
load-balancer-list
database-list (GET /v2/databases)
kubernetes-list (GET /v2/kubernetes/clusters)
volume-list (GET /v2/volumes)
reserved-ip-list (GET /v2/reserved_ips)
Document:
- Total monthly cost by resource type
- Resource utilization (if monitoring available)
- Age of resources (created date)
2. Cost Analysis Categories
Oversized Resources
Look for Droplets that could be downsized:
| Current Size | CPU Avg | Memory Avg | Recommendation |
|---|---|---|---|
| s-4vcpu-8gb | <25% | <50% | Downsize to s-2vcpu-4gb |
| s-2vcpu-4gb | <25% | <50% | Downsize to s-1vcpu-2gb |
| Any | <10% | <25% | Consider s-1vcpu-1gb |
Idle Resources
Identify resources not actively used:
- Droplets with no network traffic (check monitoring)
- Load balancers with 0 healthy backends
- Volumes not attached to any Droplet
- Reserved IPs not attached (costing $5/mo each)
- Snapshots/backups older than 90 days
Test/Development Waste
Flag resources that should be temporary:
- Resources tagged
test,dev,temporary,temp - Resources with names containing
test,dev,tmp - Resources created > 7 days ago in non-production regions
Architecture Inefficiencies
- Multiple small Droplets that could be consolidated
- Premium storage on non-critical workloads
- Over-provisioned database clusters
- Kubernetes clusters with underutilized nodes
3. Savings Calculation
For each recommendation, calculate:
| Recommendation | Current Cost | New Cost | Monthly Savings | Annual Savings |
|---|---|---|---|---|
| Downsize prod-web-01 | $48 | $24 | $24 | $288 |
| Delete dev-test-01 | $12 | $0 | $12 | $144 |
| Remove unused LB | $12 | $0 | $12 | $144 |
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.
- 8d ago First seen · 176 lines · 59 tokens per session scan A 79c88ae90090
cost-optimizer is an agent published in the GitHub repository iamnolanhu/digitalocean-skills (4 stars, last pushed 7mo ago), licensed MIT. It adds 59 tokens to every session and 1,355 once invoked, about $0.0003 per session on Opus 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 2026-08-31.
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