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 agentmods add skills/codebygarv/ai-skills/cost-optimization-auditornpx skills add codebygarv/Ai-skills --skill cost-optimization-auditorgit clone --depth 1 https://github.com/codebygarv/Ai-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/codebygarv/ai-skills/cost-optimization-auditor)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/cost-optimization-auditor"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/cost-optimization-auditor.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 | $0.00022 | $0.00402 |
| Opus 5 | $0.00011 | $0.00201 |
| Sonnet 5 | $0.00004 | $0.00080 |
| Haiku 4.5 | $0.00002 | $0.00040 |
Grade A, and why
cost-optimization-auditor 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 5d 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.
What it actually says
Purpose
Audit cloud infrastructure (AWS, GCP, Azure, Kubernetes, SaaS dependencies) to uncover idle resources, over-provisioned instances, unattached disks, sub-optimal storage tiers, and high data-transfer egress costs.
When to Use
- Monthly cloud bills are growing faster than business revenue.
- Pre-planning infrastructure budget reviews or FinOps initiatives.
- Right-sizing Kubernetes pod CPU/memory requests and limits based on actual utilization.
What to Analyze
- Compute Right-Sizing: Underutilized EC2/GCE VMs (CPU < 15%), idle dev/staging clusters, ARM (Graviton) migration.
- Storage Tiering & Cleanup: Unattached EBS volumes, old disk snapshots, S3 Intelligent-Tiering and lifecycle expiration rules.
- Data Egress & Networking: Cross-AZ traffic, NAT Gateway data processing fees, lack of VPC endpoints for S3/DynamoDB.
- Database & Cache Provisioning: Idle replica nodes, over-provisioned IOPS, un-sharded memory clusters.
- Commitment Discounts: Savings Plans, Reserved Instances, and Spot instances for stateless batch workers.
Output Format
- Estimated Savings Summary: Projected monthly cost reduction in $ and %.
- Immediate Quick-Wins (Day 1): Deleting orphaned disks, snapshots, idle test environments.
- Medium-Term Architectural Changes: Graviton migration, VPC Endpoints, Spot workers.
- FinOps Guardrails: Infracost integration, budget alerts, and tagging policies.
Avoid
- Aggressively down-sizing production database CPU to the point of risking latency spikes.
- Overlooking NAT Gateway data transfer charges (often the #1 hidden AWS bill surprise).
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 35 lines · 22 tokens per session scan A e68013005c78
cost-optimization-auditor is a skill published in the GitHub repository codebygarv/Ai-skills (24 stars, last pushed 15d ago), licensed MIT. It adds 22 tokens to every session and 402 once invoked, about $0.0001 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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