What makes 亚马逊-Alexa购物助手 notable?

1K downloads. Trust evidence available

How should 亚马逊-Alexa购物助手 be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

亚马逊-Alexa购物助手

通过亚马逊前台的 Alexa 购物助手发起自然语言问答，获取与问题相关的导购回答、推荐商品分组、ASIN 列表，以及可继续追问的问题。每次调用仅支持 1 条 prompt，如需追问须由 agent 总结上下文后拼接新问题发起新请求。可用 url 补充亚马逊页面上下文。当用户提到亚马逊 Alexa、Alexa 购物助手、亚马逊智能助手、AI 导购、对话式选品、自然语言购物、亚马逊聊天问答、Amazon Alexa shopping, conversational shopping, AI shopping assistant, follow-up questions、产品推荐对话、上下文追问等场景时触发此技能。即使用户未明确提及"Alexa"，只要其需求是"在亚马逊前台用自然语言问出商品推荐"，也应触发此技能。

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

1.0.7

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.7release · observed Sep 14, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s171g8b6m2khwdy9ye8bxj0wx183vd4z:linkfox-amazon-alexa-search

Install using `clawhub skill install s171g8b6m2khwdy9ye8bxj0wx183vd4z:linkfox-amazon-alexa-search` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/linkfox-ai/linkfox-amazon-alexa-search before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-linkfox-ai-linkfox-amazon-alexa-search/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

139,975 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: linkfox-amazon-alexa-search
description: 通过亚马逊前台的 Alexa 购物助手发起自然语言问答，获取与问题相关的导购回答、推荐商品分组、ASIN 列表，以及可继续追问的问题。每次调用仅支持 1 条 prompt，如需追问须由 agent 总结上下文后拼接新问题发起新请求。可用 url 补充亚马逊页面上下文。当用户提到亚马逊 Alexa、Alexa 购物助手、亚马逊智能助手、AI 导购、对话式选品、自然语言购物、亚马逊聊天问答、Amazon Alexa shopping, conversational shopping, AI shopping assistant, follow-up questions、产品推荐对话、上下文追问等场景时触发此技能。即使用户未明确提及"Alexa"，只要其需求是"在亚马逊前台用自然语言问出商品推荐"，也应触发此技能。
---

# Amazon Alexa Shopping Assistant

This skill drives Amazon's storefront Alexa shopping assistant: pose a natural-language question and get an answer, a curated product list (with ASINs and links), and a set of follow-up questions Alexa is willing to continue with. Each call supports only one prompt. For multi-turn conversations, the agent must summarize prior context and concatenate it with the new question in a fresh call.

## Core Concepts

1. **Single-turn per call**: `prompts` is an array but only supports **1 element**. Each API call sends exactly one question to Alexa and returns one answer. Do not pass multiple elements.
2. **Cross-call context is not preserved**: every call starts a brand-new Alexa session. To ask follow-up questions, the agent must summarize the previous answer (key recommendations, ASINs, relevant context) and concatenate it with the new question as `prompts[0]` in a new call.
3. **Optional page context (`url`)**: pass an Amazon page URL only when you want the conversation anchored to a **specific** page (a category page, search results page, or product detail page). Do **not** pass a plain marketplace homepage URL like `https://www.amazon.com/` — it adds no useful context. Omit `url` entirely when there is no specific page to anchor on.
4. **Two output formats**:
   - `markdown` (default) — a single readable Markdown report containing the question, Alexa's answer, recommended product groups, and follow-up questions.
   - `json` — a structured array under `data`, where each entry carries `prompt`, `content`, `products` (grouped recommendations), `followUpQuestions`, and `screenshot`.

`resultsNum` is the number of conversation turns Alexa actually answered; if `0`, Alexa did not produce a usable reply for the input.

## Parameters

| Parameter | Type | Required | Description | Default |
|-----------|------|----------|-------------|---------|
| prompts | string[] | Yes | Conversation prompts. Only **1 element** is allowed per call. To ask follow-up questions, make a new call with context summary + new question as `prompts[0]`. | - |
| format | string | No | Response format: `markdown` returns a readable report; `json` returns a structured array. | markdown |
| url | string | No | Specific Amazon page URL (category, search results, or product detail) to anchor the conversation. Skip when there is no specific page; do **not** pass a plain homepage URL such as `https://www.amazon.com/`. | - |

## Response Fields

| Field | Type | Description |
|-------|------|-------------|
| stdout | string | Markdown report when

_meta.json

{
  "ownerId": "kn7dmc1t4j28hem1twwyav85p182pb1j",
  "slug": "linkfox-amazon-alexa-search",
  "version": "1.0.7",
  "publishedAt": 1789361673673
}

references/api.md

# 亚马逊 Alexa 购物助手 API 参考

## 调用规范

- **请求地址**：`${LINKFOX_TOOL_GATEWAY}/amazon/alexaSearch`
- **请求方式**：POST，Content-Type: application/json
- **认证方式**：Header `Authorization: <api_key>`，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取（如未配置 按 SKILL.md 的 **## 解决认证和算力问题** 处理）

## 请求参数

POST Body（JSON）：

| 参数 | 类型 | 必填 | 说明 |
|------|------|------|------|
| prompts | string[] | 是 | 长度在255个字符以内。对话提示词数组，仅支持 **1 条**。每次调用只能传入 1 个问题。如需追问，agent 须自行总结上一轮回答的关键信息（推荐商品、ASIN、关键结论等），拼接新问题后作为新的 `prompts[0]` 发起新请求。每次调用是独立的新会话，不保留跨次调用的历史上下文 |
| format | string | 否 | 响应格式，`markdown`（默认）返回可读报告；`json` 返回结构化数据数组 |
| url | string | 否 | 联动页面 URL，用于补充 Alexa 当前答复的页面上下文。仅在用户提供了**具体页面**（分类页 / 搜索结果页 / 商品详情页等）时才传入；亚马逊首页（如 `https://www.amazon.com/`）**无需传**该参数 |

## 响应结构

| 字段 | 类型 | 说明 |
|------|------|------|
| stdout | string | Markdown 格式问答报告，包含每一轮的用户问题、Alexa 回答、推荐商品、可继续追问的问题；仅 `format=markdown` 时返回 |
| data | array | 结构化对话结果数组；仅 `format=json` 时返回 |
| resultsNum | integer | Alexa 实际答复的对话轮次数量；为 0 表示未产生有效回答 |
| code | string | 业务状态码，成功为 `"200"`（同 `errcode` 数值版） |
| errcode | integer | 业务状态码（HTTP 层一般为 200，业务成功与否以此字段为准） |
| msg / errmsg | string | 响应消息，成功为 `ok` |
| costTime | integer | 接口耗时，单位毫秒 |
| costToken | integer | 本次调用消耗 Token 数；上游成功才计费 |
| taskId | string | 上游返回的本次任务标识 |
| type | string | 渲染样式：`stdoutWorkbenches`（markdown）或 `json` |

### `data[*]` 结构（`format=json`）

| 字段 | 类型 | 说明 |
|------|------|------|
| prompt | string | 当前轮次发送给 Alexa 的提示词 |
| content | string | Alexa 本轮回答的文本内容 |
| screenshot | string | 本轮对话截图链接 |
| followUpQuestions | string[] | Alexa 推荐继续追问的问题列表 |
| products | array | 推荐商品分组列表，每个分组包含 `title` 和 `items` |
| products[].title | string | 推荐分组标题 |
| products[].items[].asin | string | 商品 ASIN |
| products[].items[].title | string | 商品标题 |
| products[].items[].url | string | 商品详情页 URL |
| products[].items[].cover | string | 商品封面图 URL |
| products[].items[].price | string | 现价（带币种） |
| products[].items[].originalPrice | string | 原价或划线价 |
| products[].items[].score | string | 评分 |
| products[].items[].ratingsCount | string | 评价数量 |
| products[].items[].describe | string | 商品简介 |

## 错误码

正常情况下，接口的 HTTP 状态码均为 200，业务的成功与否通过响应体中的 `errcode` / `code` 字段区分（`200` 表示成功，其他值表示业务错误）。当遇到未授权等情况时，HTTP 状态码为 401，且对应的 `errcode` 也是 401。

| errcode | 含义 | 处理建议 |
|---------|------|----------|
| 200 | 成功 | 正常解析 `stdout` 或 `data` 字段 |
| 401 | 认证失败 | HTTP 401 或 authorized error：按 SKILL.md 的 **## 解决认证和算力问题** 处理。 |
| 402 | 计费/算力不足 | HTTP 402：按 SKILL.md 的 **## 解决认证和算力问题** 处理。 |
| 其他非 200 值 | 业务异常 | 参考 `errmsg` / `msg` 字段获取具体错误原因 |

错误响应示例：

```json
{
    "errcode": 401,
    "errmsg": "authorized error"
}
```

## curl 示例

**Markdown 格式（默认）：**

```bash
curl -X POST https://tool-gateway.linkfox.com/amazon/alexaSearch \
  -H "Authorization: $LINKFOXAGENT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
        "prompts": ["best wireless earbuds for running"]
      }'
```

**JSON 格式：**

```bash
curl -X POST https://tool-gateway.linkfox.com/amazon/alexaSearch \
  -H

references/onboarding.md

# 解决认证和算力问题

调用本 skill 时若网关返回 **auth** 或 **billing** 错误，走本 skill 自带的 `scripts/onboarding.py` 完成引导。

**auth 场景**：`errcode=401` 或消息含 `authorized error`/`鉴权失败`/`未授权`/`unauthorized`；或 `LINKFOX_AGENT_API_KEY` 与 `LINKFOXAGENT_API_KEY` 均为空。
1. 若已配置 key → 先让用户重启会话（最常见误判），仍失败让用户重新取 key 或换手机号重注册
2. 未配置 → 询问：自助去 https://agent.linkfox.com/ 取 key，或提供手机号让脚本注册
3. 手机号路径：
   - `python scripts/onboarding.py send-code <phone>` → 展示 JSON 里的 phone/agreements
   - 收到验证码后：`python scripts/onboarding.py login <phone> <code>`
   - 拿到 `api_key` 后把下面三平台配置转发给用户，提示重启会话生效：
     - Windows PowerShell（永久）：`setx LINKFOX_AGENT_API_KEY "<key>"`
     - macOS zsh：`echo 'export LINKFOX_AGENT_API_KEY="<key>"' >> ~/.zshrc && source ~/.zshrc`
     - Linux bash：`echo 'export LINKFOX_AGENT_API_KEY="<key>"' >> ~/.bashrc && source ~/.bashrc`
     - 变量名 `LINKFOX_AGENT_API_KEY`（主推）或 `LINKFOXAGENT_API_KEY`（老规范）任一即可

**billing 场景**：`errcode=402` 或消息含 `算力/余额/quota/insufficient/充值/套餐到期`。
- `python scripts/onboarding.py list-plans` → 有 AskUserQuestion 就弹菜单，否则输出编号清单让用户选
- 校验 `plan_id` ∈ 清单、支付方式 ∈ 该套餐 `available_methods`（通常 `wechat/alipay`）
- `python scripts/onboarding.py order <plan_id> <method>` → 展示优先级 PNG > `pay_url` > `ascii_qr`（标注兜底）
- 已付款可选调 `python scripts/onboarding.py query <order_id>`，不主动轮询

排除 `errcode=403`（无权限，不归入这两类）。所有子命令输出 stdout JSON，`error` 字段已含阶段前缀，透传给用户即可。完整用法：`python scripts/onboarding.py --help`。

skill-card.md

## Description:

Uses Amazon's storefront Alexa shopping assistant to answer a single natural-language shopping prompt, return a guide-style answer, grouped product recommendations with ASINs, and follow-up questions.

This skill is ready for commercial/non-commercial use.

## Publisher:

[linkfox-ai](https://clawhub.ai/user/linkfox-ai)

### License/Terms of Use:

MIT-0

## Use Case:

External agents and developers use this skill for conversational Amazon product discovery when a user wants Alexa-style shopping recommendations, product ASINs, prices, ratings, and suggested follow-up questions. It is best suited to one prompt at a time, with the agent summarizing prior answers before making any follow-up request.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Shopping prompts and page context are sent to LinkFox and may include user preferences or commercial research intent.

Mitigation: Use the skill only when the user accepts LinkFox processing those prompts, and avoid including sensitive personal or business information in shopping questions.

Risk: The skill can guide LinkFox account setup, SMS-code login, API-key provisioning, package purchase, and payment-order creation.

Mitigation: Ask the user before account or billing actions, share SMS codes only when the user intends to log in or register, and confirm plan and payment method before creating an order.

Risk: API keys or account details may appear in terminal output, logs, transcripts, or local files.

Mitigation: Treat keys as secrets, rotate any key that is exposed, and review local LinkFox output folders for retained prompts, responses, QR images, and credentials.

Risk: Environment endpoint overrides can redirect requests away from the default LinkFox services.

Mitigation: Use endpoint override environment variables only in trusted environments and remove unexpected overrides before handling real user data.

Risk: Repeated calls consume LinkFox credits and Alexa responses can vary between calls.

Mitigation: Use the script cache where appropriate, avoid automatic retry loops for empty or failed results, and explain additional cost before making follow-up calls.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/linkfox-ai/skills/linkfox-amazon-alexa-search)
- [Amazon Alexa shopping assistant API reference](references/api.md)
- [Authentication and billing onboarding](references/onboarding.md)
- [LinkFox Skills](https://skill.linkfox.com/)

## Skill Output:

**Output Type(s):** [text, markdown, json, shell commands, configuration, guidance]

**Output Format:** [Markdown report or structured JSON, with full responses saved as local JSON files by the helper script.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Each API call accepts one prompt; optional URL context can anchor the answer to a specific Amazon page.]

## Skill Version(s):

1.0.7 (source: server release metadata)

## Ethical Considerations:

Users should

Github ReposUpdated 2d agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.