aws-cost-optimizer

aws-cost-optimizer is a skill for Claude Code from sendralt/agentic-awesome-skills. It costs 19 tokens per session (1,557 once invoked), scanned A, a copy of aws-cost-optimizer, MIT.

An AWS spending analysis guide that uses the AWS command line and Cost Explorer, AWS's billing analysis service. It examines costs, usage trends, and underused cloud resources.

In plain words
What is it for?
Use it to review spending by service, region, or tag; find idle or unused resources; and assess rightsizing, lifecycle, Reserved Instance, or Savings Plan options.
Why use it?
It helps reveal wasted spending and explain why an AWS bill is increasing. It connects usage data with concrete ways to reduce costs.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agentic-awesome-skills plugin — 196 skills shipped together

Good fit Use it to review spending by service, region, or tag; find idle or unused resources; and assess rightsizing, lifecycle, Reserved Instance, or Savings Plan options.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sendralt/agentic-awesome-skills/aws-cost-optimizer
Install

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.

Any agent
npx skills add sendralt/agentic-awesome-skills --skill aws-cost-optimizer
Clone the repo
git clone --depth 1 https://github.com/sendralt/agentic-awesome-skills

Made for: Claude Code.

Or install agentic-awesome-skills, the plugin that ships this one along with the rest of its 196 skills.

Wrote 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.

agentmods badge for aws-cost-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/sendralt/agentic-awesome-skills/aws-cost-optimizer/github.svg)](https://agentmods.dev/skills/sendralt/agentic-awesome-skills/aws-cost-optimizer)
Your own site
<a href="https://agentmods.dev/skills/sendralt/agentic-awesome-skills/aws-cost-optimizer"><img src="https://agentmods.dev/badge/skills/sendralt/agentic-awesome-skills/aws-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.

agentmods 80×15 button for aws-cost-optimizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/sendralt/agentic-awesome-skills/aws-cost-optimizer"><img src="https://agentmods.dev/badge/skills/sendralt/agentic-awesome-skills/aws-cost-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,557 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.01557
Opus 5 $0.00010 $0.00779
Sonnet 5 $0.00004 $0.00311
Haiku 4.5 $0.00002 $0.00156

Measured 6d ago against content hash 43cdf380dfef, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

aws-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 6d 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.

Origin

This is a copy

100% identical to aws-cost-optimizer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/agentic-awesome-skills-claude/skills/aws-cost-optimizer/SKILL.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AWS Cost Optimizer

Analyze AWS spending patterns, identify waste, and provide actionable cost reduction strategies.

When to Use This Skill

Use this skill when you need to analyze AWS spending, identify cost optimization opportunities, or reduce cloud waste.

Core Capabilities

Cost Analysis

  • Parse AWS Cost Explorer data for trends and anomalies
  • Break down costs by service, region, and resource tags
  • Identify month-over-month spending increases

Resource Optimization

  • Detect idle EC2 instances (low CPU utilization)
  • Find unattached EBS volumes and old snapshots
  • Identify unused Elastic IPs
  • Locate underutilized RDS instances
  • Find old S3 objects eligible for lifecycle policies

Savings Recommendations

  • Suggest Reserved Instance/Savings Plans opportunities
  • Recommend instance rightsizing based on CloudWatch metrics
  • Identify resources in expensive regions
  • Calculate potential savings with specific actions

AWS CLI Commands

Get Cost and Usage

# Last 30 days cost by service
aws ce get-cost-and-usage \
  --time-period Start=$(date -d '30 days ago' +%Y-%m-%d),End=$(date +%Y-%m-%d) \
  --granularity MONTHLY \
  --metrics BlendedCost \
  --group-by Type=DIMENSION,Key=SERVICE

# Daily costs for current month
aws ce get-cost-and-usage \
  --time-period Start=$(date +%Y-%m-01),End=$(date +%Y-%m-%d) \
  --granularity DAILY \
  --metrics UnblendedCost

Find Unused Resources

# Unattached EBS volumes
aws ec2 describe-volumes \
  --filters Name=status,Values=available \
  --query 'Volumes[*].[VolumeId,Size,VolumeType,CreateTime]' \
  --output table

# Unused Elastic IPs
aws ec2 describe-addresses \
  --query 'Addresses[?AssociationId==null].[PublicIp,AllocationId]' \
  --output table

# Idle EC2 instances (requires CloudWatch)
aws cloudwatch get-metric-statistics \
  --namespace AWS/EC2 \
  --metric-name CPUUtilization \
  --dimensions Name=InstanceId,Value=i-xxxxx \
  --start-time $(date -u -d '7 days ago' +%Y-%m-%dT%H:%M:%S) \
  --end-time $(date -u +%Y-%m-%dT%H:%M:%S) \
  --period 86400 \
  --statistics Average

# Old EBS snapshots (>90 days)
aws ec2 describe-snapshots \
  --owner-ids self \
  --query 'Snapshots[?StartTime<=`'$(date -d '90 days ago' --iso-8601)'`].[SnapshotId,StartTime,VolumeSize]' \
  --output table

Read the full file on GitHub · 199 lines

Changes

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.

  1. 6d ago First seen · 199 lines · 19 tokens per session scan A 43cdf380dfef

Subscribe to this mod's changes

aws-cost-optimizer is a skill published in the GitHub repository sendralt/agentic-awesome-skills (1 stars, last pushed 3d ago), licensed MIT. It adds 19 tokens to every session and 1,557 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to aws-cost-optimizer, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

sector-rotation

An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.

HKUDS/Vibe-Trading · 39 tokens

strategy-pivot-designer

Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.

tradermonty/claude-trading-skills · 28 tokens

twitter-reader

Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…

himself65/finance-skills · 161 tokens

chenhao-limit-up

A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.

questflowai/investorskills · 44 tokens

trading-risk-gate

Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.

winstonkoh87/Athena-Public · 53 tokens

furusato

A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.

kazukinagata/shinkoku · 102 tokens