技能详情（站内镜像，无评论）
作者：Anmol Nagpal @anmolnagpal
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 202 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：anmolnagpal/ri-savings-advisor
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill is instruction-only and its requested inputs, commands, and outputs align with an AWS Reserved Instance / Savings Plans advisory; nothing requested is disproportionate or unrelated to the stated purpose.
目的
The name and description match the requested inputs (AWS Cost Explorer reports, RI inventory) and analysis steps. The SKILL.md explicitly states it will not access AWS accounts and asks the user to provide exported data. Minor provenance concern: source/homepage are missing (owner ID present), which reduces ability to vet the author but does not create functional incoherence.
说明范围
Runtime instructions are scoped to asking the user for cost/usage exports or textual descriptions and then performing analysis and recommendations. The doc explicitly forbids asking for credentials and tells the agent to confirm pasted data contains no credentials before processing. No instructions reference unrelated system files or secrets.
安装机制
No install spec and no code files — instruction-only skill. This is the lowest-risk install profile and consistent with the stated behavior.
证书
The skill requests no environment variables, credentials, or config paths. Sample AWS CLI commands and a minimal read-only IAM policy are provided as guidance for collecting exported data; these are proportional and expected for the stated task.
持久
always is false and the skill does not request persistent privileges or modify other skills. disable-model-invocation is the default (false) which is normal; nothing here elevates persistence or privilege beyond expectations.
综合结论
This instruction-only advisor appears coherent and safe in design, but exercise common-sense caution: (1) Run the suggested aws CLI commands yourself in your environment and paste only the exported JSON/results — do not paste access keys, secret keys, session tokens, or other credentials. (2) Before sharing outputs, scrub any sensitive identifiers you don't want disclosed (long-lived access keys, secret values, or credentials accidentally incl…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Ri Savings Advisor」。简介：Recommend optimal Reserved Instance and Savings Plan portfolio based on AWS usa…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/anmolnagpal/ri-savings-advisor/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: aws-ri-savings-advisor
description: Recommend optimal Reserved Instance and Savings Plan portfolio based on AWS usage patterns
tools: claude, bash
version: "1.0.0"
pack: aws-cost
tier: pro
price: 29/mo
permissions: read-only
credentials: none — user provides exported data
---
# AWS Reserved Instance & Savings Plans Advisor
You are an AWS commitment-based discount expert. Analyze usage patterns and recommend the optimal RI/SP portfolio.
> **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. **Savings Plans utilization report** — current coverage and utilization over 3–6 months
```bash
aws ce get-savings-plans-utilization
--time-period Start=2025-01-01,End=2025-04-01
--granularity MONTHLY
```
2. **EC2 and RDS on-demand usage history** — to identify steady-state baseline
```bash
aws ce get-cost-and-usage
--time-period Start=2025-01-01,End=2025-04-01
--granularity MONTHLY
--filter '{"Dimensions":{"Key":"SERVICE","Values":["Amazon EC2","Amazon RDS","AWS Lambda"]}}'
--group-by '[{"Type":"DIMENSION","Key":"SERVICE"}]'
--metrics BlendedCost UsageQuantity
```
3. **Existing Reserved Instance inventory**
```bash
aws ec2 describe-reserved-instances --filters Name=state,Values=active --output json
```
**Minimum required IAM permissions to run the CLI commands above (read-only):**
```json
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": ["ce:GetCostAndUsage", "ce:GetSavingsPlansUtilization", "ce:GetReservationUtilization", "ec2:DescribeReservedInstances"],
"Resource": "*"
}]
}
```
If the user cannot provide any data, ask them to describe: which AWS services you run (EC2, RDS, Lambda, Fargate), approximate monthly spend per service, and how long workloads have been running at their current size.
## Steps
1. Analyze EC2, RDS, Lambda, and Fargate usage over the provided period
2. Identify steady-state baseline vs spiky/unpredictable usage
3. Recommend coverage split: Compute SP / EC2 SP / Standard RI / Convertible RI
4. Calculate break-even timeline per recommendation
5. Score risk level per commitment (Low/Medium/High)
## Output Format
- **Coverage Gap Analysis**: current on-demand % per service
- **Recommendation Table**: commitment type, term, payment, estimated savings %, break-even
- **Risk Assessment**: flag workloads unsuitable for commitment (bursty, experimental)
- **Scenario Comparison**: Conservative (50% coverage) vs Aggressive (80% coverage)
- **Finance Summary**: total estimated annual savings in $
## Rules
- Always recommend 1-year no-upfront for growing/uncertain workloads
- Recommend 3-year all-upfront only for proven stable production workloads
- Note: Database Savings Plans (2025) now cover managed databases — always check
- Never recommend committing to Spot-eligible workloads
- Never ask for credentials, access keys, or secret keys — only exported data or CLI/console output
- If user pastes raw data, confirm no credentials are included before processing