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Data Transfer Optimizer

Name: Data Transfer Optimizer
Author: anmolnagpal

作者 Anmol Nagpal · GitHub ↗ · v1.0.0

cross-platform ⚠ suspicious

325

总下载

当前安装

版本数

在 OpenClaw 中安装

/install data-transfer-optimizer

功能描述

Identify and reduce AWS data transfer costs — inter-region, cross-AZ, and NAT Gateway charges

使用说明 (SKILL.md)

AWS Data Transfer Cost Optimizer

You are an AWS networking cost expert. Data transfer is often the most overlooked AWS cost driver.

Steps

Break down data transfer costs by type: inter-AZ, inter-region, internet egress, NAT Gateway
Identify top traffic patterns driving cost
Map architecture changes that eliminate unnecessary transfer charges
Calculate ROI of each recommended change
Generate VPC Endpoint configuration for top candidates

Output Format

Transfer Cost Breakdown: type, monthly cost, % of total
Top Traffic Patterns: source → destination, bytes, cost
Optimization Opportunities:
- VPC Gateway Endpoints (S3, DynamoDB — free!)
- VPC Interface Endpoints (replace NAT Gateway for AWS services)
- Same-AZ placement for frequently communicating services
- CloudFront distribution to reduce origin egress
ROI Table: change, implementation effort, monthly savings
VPC Endpoint Terraform: ready-to-apply config for top candidates

Rules

Always check for S3 and DynamoDB traffic going via NAT Gateway — Gateway Endpoints are free
Flag cross-region replication that may not be intentional
Calculate NAT Gateway savings if replaced with PrivateLink/VPC Endpoints
Note: CloudFront egress is cheaper than direct EC2/ALB egress for public traffic

安全使用建议

This skill wants to analyze your AWS data-transfer costs and produce Terraform, but it gives no instructions for how the agent will get the needed billing/traffic data. Before installing or using it: 1) Don’t provide long-lived AWS root credentials. Prefer one of two approaches: (a) provide a limited, read-only IAM role or temporary STS credentials scoped to Cost Explorer, CloudWatch Logs/VPC Flow Logs, S3 access logs, and any S3 buckets holding logs; or (b) export and sanitize cost and traffic reports yourself (CSV/Parquet) and paste only the minimal datasets the skill needs. 2) Ask the skill author to explicitly list the AWS APIs, CLI commands, or exact data files it needs and the minimal IAM policy required. 3) If you let the skill produce 'ready-to-apply' Terraform, review all generated code before applying—verify it does not create broad network or IAM changes. 4) If the author cannot clarify how data is accessed, treat the skill as untrustworthy and avoid giving it credentials or raw logs. Providing those clarifications (which APIs/data sources and an explicit least-privilege IAM policy) would make this assessment more confident.

功能分析

Type: OpenClaw Skill Name: data-transfer-optimizer Version: 1.0.0 The skill bundle is benign. The `_meta.json` file contains standard metadata. The `SKILL.md` file clearly defines the purpose of optimizing AWS data transfer costs and provides instructions for the AI agent to analyze costs, identify patterns, and generate optimization recommendations, including Terraform configurations for VPC Endpoints. While the skill declares `bash` as a tool, there are no instructions within `SKILL.md` that direct the agent to execute arbitrary or malicious shell commands, exfiltrate data, or perform any other harmful actions. All instructions are aligned with the stated cost optimization goal.

能力评估

⚠ Purpose & Capability

The skill claims to break down AWS transfer costs, identify traffic patterns, and generate Terraform VPC endpoint configs. Those tasks normally require access to Cost Explorer, VPC flow logs, S3 access logs, CloudWatch, or AWS APIs—but the skill declares no required environment variables, no required binaries, and no required config paths. It is unclear how the skill expects to obtain the necessary AWS data.

⚠ Instruction Scope

SKILL.md tells the agent to 'Break down data transfer costs' and 'Identify top traffic patterns' and to 'Always check for S3 and DynamoDB traffic going via NAT Gateway,' but it does not specify concrete data sources (Cost Explorer exports, flow logs, Athena queries, or CLI/API commands) nor instruct the user to supply logs or credentials. The instructions are high-level and grant broad discretion without clear boundaries for what data the agent may access or require from the user.

✓ Install Mechanism

This is an instruction-only skill with no install spec and no code files, so it does not write code to disk or fetch remote binaries. That lowers install risk.

⚠ Credentials

No environment variables, primary credential, or IAM scope are declared despite the need to read AWS billing and network telemetry. That is either an omission (the skill should list required read-only AWS creds) or implies the skill expects users to paste sensitive exports into prompts. Both possibilities deserve scrutiny.

✓ Persistence & Privilege

The skill is not configured as always:true and does not request persistent installation-level privileges. Autonomous invocation is allowed by default but is not by itself an additional red flag here.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install data-transfer-optimizer
安装完成后，直接呼叫该 Skill 的名称或使用 /data-transfer-optimizer 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release — identify and optimize AWS data transfer costs. - Breaks down inter-AZ, inter-region, internet egress, and NAT Gateway charges - Highlights top traffic patterns and costly data flows - Suggests architecture changes, prioritizing VPC Endpoints and efficient placement - Calculates potential ROI for each optimization - Outputs ready-to-apply VPC Endpoint Terraform configs for recommended actions

元数据

Slug data-transfer-optimizer

版本 1.0.0

许可证 —

累计安装 1

当前安装数 1

历史版本数 1

常见问题