# amazon-shopper

> amazon-shopper — brennerspear-amazon-shopper. Use this tool when you need to automate purchases and returns on Amazon, solving problems such as streamlining online shopping tasks and simplifying product testing. It takes input such as item details and user credentials, and outputs order confirmations and return statuses. Ideal for use cases like automated product research, price comparison, and dropshipping, where efficient browsing and transaction handling is required.

Canonical page: https://skillsregistry.net/skills/brennerspear-amazon-shopper  
JSON: https://api.skillsregistry.net/v1/skills/brennerspear-amazon-shopper

## Description

Buy and return items on Amazon using browser automation.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** browser-automation
- **Updated:** 2026-09-26

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/brennerspear-amazon-shopper)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "brennerspear-amazon-shopper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brennerspear-amazon-shopper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brennerspear-amazon-shopper/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt