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 orcasecurity/orca-skills --skill orca-cloud-cost-optimizergit clone --depth 1 https://github.com/orcasecurity/orca-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/orcasecurity/orca-skills/orca-cloud-cost-optimizer)<a href="https://agentmods.dev/skills/orcasecurity/orca-skills/orca-cloud-cost-optimizer"><img src="https://agentmods.dev/badge/skills/orcasecurity/orca-skills/orca-cloud-cost-optimizer/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/orcasecurity/orca-skills/orca-cloud-cost-optimizer"><img src="https://agentmods.dev/badge/skills/orcasecurity/orca-skills/orca-cloud-cost-optimizer.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 | $0.00113 | $0.04811 |
| Opus 5 | $0.00056 | $0.02405 |
| Sonnet 5 | $0.00023 | $0.00962 |
| Haiku 4.5 | $0.00011 | $0.00481 |
Grade A, and why
orca-cloud-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 9d 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 — 375 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cloud Cost Optimizer
Answers the question: "Where are we overspending and what should we fix first?"
Analyzes all cloud assets via Orca Security MCP data to identify actionable cost reduction opportunities across compute, databases, storage, networking, and serverless resources. Delivers a dual-audience report: executive summary with total savings range, and per-asset action plan with specific IDs, Orca links, console links, CLI commands, and projected monthly savings.
The key rule: never generalize. "You have some oversized instances" is useless. "Your db-prod-us-east-1 RDS instance is a db.r5.4xlarge ($1,752/month) and could be db.r5.2xlarge ($876/month)" is what this report delivers.
Usage
/orca-cloud-cost-optimizer
Or natural language:
- "give me a cost optimization report"
- "where are we wasting money on cloud?"
- "how do we cut our AWS bill?"
- "find unused resources"
- "what can we rightsize?"
Phase 1: Asset Discovery
Use mcp__orca-security__discovery_search to enumerate assets. Run these searches in parallel to save time.
Compute
- AWS: EC2 instances
- GCP: Compute Engine VM instances
- Azure: Virtual Machines
Containers & Orchestration
- AWS: ECS tasks, EKS nodes, Fargate tasks
- GCP: GKE node pools
- Azure: AKS node pools
Serverless
- AWS: Lambda functions
- GCP: Cloud Functions, Cloud Run services
- Azure: Azure Functions, Container Apps
Databases
- AWS: RDS instances, Aurora clusters, ElastiCache clusters, DynamoDB tables
- GCP: Cloud SQL, Spanner, Bigtable, Memorystore
- Azure: Azure SQL Managed Instance, Azure Database for PostgreSQL/MySQL, Cosmos DB, Azure Cache for Redis
Storage
- AWS: S3 buckets, EBS volumes, EFS file systems
- GCP: GCS buckets, Persistent Disks, Filestore
- Azure: Azure Blob Storage containers, Azure Managed Disks, Azure Files shares
Networking
- AWS: Elastic IPs, NAT Gateways, Classic/Application/Network Load Balancers
- GCP: Cloud NAT, External IPs, Cloud Load Balancing
- Azure: Azure Public IPs, NAT Gateways, Application/Load Balancers
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.
- 9d ago First seen · 375 lines · 113 tokens per session scan A b681abef2829
orca-cloud-cost-optimizer is a skill published in the GitHub repository orcasecurity/orca-skills (49 stars, last pushed 2d ago), licensed MIT. It adds 113 tokens to every session and 4,811 once invoked, about $0.0006 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 2026-08-30.
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