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amazon-shopper亚马逊购物者

Agent Skill

amazon-shopper 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

30,035

周安装

1,277

GitHub Stars

公开资料未说明

下载量

10,522
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:amazon-shopper(亚马逊购物者)
来源仓库:https://github.com/brennerspear/amazon-shopper
安装命令:
openclaw skills install amazon-shopper
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install amazon-shopper

简介

使用浏览器自动化在亚马逊上购买和退货。用于采购、重新订购、检查订单历史记录和处理退货。

SKILL.md

name
amazon
description
Buy and return items on Amazon using browser automation. Use for purchasing, reordering, checking order history, and processing returns.
compatibility
Requires agent-browser CLI with Chrome DevTools Protocol (CDP). Chrome must be running with --remote-debugging-port. Optional VNC for headless setups.

Amazon Ordering

Prerequisites

  • agent-browser CLI installed
  • Chrome running with --remote-debugging-port=9222 (see Starting the browser)
  • Logged into Amazon — if logged out, retrieve password from your password manager
  • If running headless (Linux/VNC), forward the VNC port to verify visually: ssh -L 6080:localhost:6080 <host> → http://localhost:6080/vnc.html

Setup

Set these environment variables or configure your defaults:

# Your default shipping address (verify on checkout)
export AMAZON_SHIPPING_ADDRESS="Your shipping address"
# Your preferred payment method description (verify on checkout)
export AMAZON_PAYMENT_METHOD="Your preferred card"
# Your preferred return drop-off location
export AMAZON_RETURN_DROPOFF="Whole Foods"

Always verify shipping address and payment method are correct before placing an order.

Returns

Default Answers (use unless user specifies otherwise)

  • Return reason: "Changed Mind" → "My needs changed"
  • Packaging opened: Yes
  • Item in original packaging: Yes
  • Have you used the item: Yes
  • Signs of use: None
  • Battery leaks/overheating: No
  • All accessories included: Yes
  • Refund type: Refund to original payment method (not replacement, not gift card)
  • Drop-off location: Use AMAZON_RETURN_DROPOFF or Whole Foods

Return Flow

  1. Orders → Find item → "Return or replace items"
  2. Select "Changed Mind" → "My needs changed" → Continue
  3. Answer condition questions with defaults above
  4. Continue past "Get Product Support" suggestions
  5. Select "Refund to original payment method"
  6. Select drop-off location
  7. Confirm return
  8. Done — QR code will be emailed

Communication Style

  • Do NOT narrate each step — just execute the whole return silently
  • Only message the user once it's confirmed with a brief summary:

- Item name - Refund amount - Drop-off location & deadline

  • If something goes wrong or needs clarification, then ask

Ordering Rules

Reorders (items ordered before)

  • Go directly to order history, search for item
  • Click "Buy it again"
  • Verify address and payment method
  • Place order without confirmation — no screenshot needed

New Items (never ordered before)

  • Search or navigate to product
  • Send screenshot of product page (scroll so price + product image visible, skip nav bars)
  • Wait for user confirmation before adding to cart
  • Verify address and payment method
  • Place order after confirmation

Workflow

Connect to browser

agent-browser connect 9222

Always open a new tab — other sessions share the same Chrome. Use --new-tab on every open command.

Search order history

agent-browser open "https://www.amazon.com/gp/your-account/order-history"
agent-browser snapshot -i
# Find search box, fill with item name, click search

Reorder flow

# From order history search results
agent-browser click @[buy-it-again-ref]
# Wait for checkout page
agent-browser snapshot
# Verify correct address and payment method are selected
agent-browser click @[place-order-ref]

Screenshot tips

  • Scroll past nav bars before screenshotting
  • Ensure price and product image are both visible
  • Save screenshots to a temporary directory
  • Send via message tool with caption

Starting the browser (if not running)

macOS (opens a visible Chrome window):

open -na "Google Chrome" --args --user-data-dir=$HOME/.config/chrome-agent --no-first-run --remote-debugging-port=9222 https://www.amazon.com

Linux (headless with Xvfb/VNC):

DISPLAY=:99 google-chrome --user-data-dir=$HOME/.config/chrome-agent --no-first-run --remote-debugging-port=9222 https://www.amazon.com &

Linux (desktop/GUI session):

google-chrome --user-data-dir=$HOME/.config/chrome-agent --no-first-run --remote-debugging-port=9222 https://www.amazon.com &

Notes

  • Browser profile persists login at $HOME/.config/chrome-agent
  • On headless Linux, VNC display is typically :99 on port 5999 (noVNC on 6080)
  • Order confirmations go to the email on your Amazon account
  • CAPTCHAs or 2FA may require manual intervention — if the browser window is visible (macOS or Linux desktop), ask the user to solve it in the Chrome window

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

93.88%
按下载量换算9,878

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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