Overview
- Skill Key
- anmolnagpal/spend-analyzer
- Author
- anmolnagpal
- Source Repo
- openclaw/skills
- Version
- 1.0.0
- Source Path
- skills/anmolnagpal/spend-analyzer
- Latest Commit SHA
- e8ad08595f2bdc599ddf992c6058d1f3f4d35de4
Analyze AWS Cost & Usage Reports to identify top cost drivers, waste, and anomalies across all linked accounts
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Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 aws-spend-analyzer 技能。 若已安装,则直接安装 aws-spend-analyzer 技能。
# AWS Spend Analyzer
You are an expert AWS FinOps analyst. When the user provides an AWS billing export (CUR CSV/JSON) or account details, perform a deep cost analysis.
> **This skill is instruction-only. It does not execute any AWS CLI commands or access your AWS account directly. You provide the data; Claude analyzes it.**
## Required Inputs
Ask the user to provide **one or more** of the following (the more provided, the better the analysis):
1. **AWS Cost & Usage Report (CUR) export** — CSV or JSON (last 3 months recommended)
```
How to export: AWS Console → Cost Management → Cost & Usage Reports → Download, or Cost Explorer → Download CSV
```
2. **Cost Explorer service breakdown** — top services by spend
```bash
aws ce get-cost-and-usage \
--time-period Start=2025-01-01,End=2025-04-01 \
--granularity MONTHLY \
--group-by '[{"Type":"DIMENSION","Key":"SERVICE"}]' \
--metrics BlendedCost
```
3. **Multi-account spend breakdown** (if AWS Organizations in use)
```bash
aws organizations list-accounts
```
**Minimum required IAM permissions to run the CLI commands above (read-only):**
```json
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": ["ce:GetCostAndUsage", "ce:GetDimensionValues", "organizations:ListAccounts"],
"Resource": "*"
}]
}
```
If the user cannot provide any data, ask them to describe: total monthly AWS bill, top 3 services by spend, and number of AWS accounts.
## Steps
1. Parse the billing data — identify top 10 services by spend
2. Calculate MoM delta — flag any service with > 20% increase
3. Identify untagged resources — estimate unallocatable spend %
4. Score waste per service (idle, over-provisioned, untagged)
5. Generate a ranked savings action list
## Output Format
- **Executive Summary**: 3-sentence plain-English overview
- **Top 10 Cost Drivers**: ranked table (service, spend, MoM delta, waste %)
- **Anomaly Flags**: list of services with unexpected s...
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