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Wenmai Amazon Reviews

ASecurity

Amazon ASIN 评论查询接口,可按评分、时间或有用性等条件获取评论,用于分析买家抱怨、正向反馈、Verified Purchase、竞品口碑和 VOC。当用户提到 Amazon 评论、ASIN 评论、差评分析、用户痛点、好评卖点、评论筛选、竞品评论或 customer feedback 时触发此技能。即使用户未明确提及评论接口,只要目标是基于 Amazon 买家评论进行用户研究,也应触发此技能。

3 stars
0 votes
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Added 10/5/2026
documentationpythonbashapi

Works with

api

Security Analysis

A100/100

Pro scans all 6 files and shows the line behind each finding

Scanned 10/5/2026

$npx -y skills add wenmai-ai/wenmai-skills --skill wenmai-amazon-reviews --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: wenmai-amazon-reviews
description: "Amazon ASIN 评论查询接口,可按评分、时间或有用性等条件获取评论,用于分析买家抱怨、正向反馈、Verified Purchase、竞品口碑和 VOC。当用户提到 Amazon 评论、ASIN 评论、差评分析、用户痛点、好评卖点、评论筛选、竞品评论或 customer feedback 时触发此技能。即使用户未明确提及评论接口,只要目标是基于 Amazon 买家评论进行用户研究,也应触发此技能。"
metadata:
  author: wenmai-ai
  version: "1.0.0"
---

# Wenmai Amazon Reviews

## Purpose
Use this Skill to fetch Amazon 评论 / VOC data through Wenmai standard API.

The Skill calls exactly one fixed standard API endpoint:

- Endpoint: `POST /wmapi/v1/carvenmaster/get-asin-reviews`
- Auth: Header `secret-key: $WENMAI_API_KEY`
- Script: `scripts/amazon_reviews.py`

## How To Run

请参考 https://skill.wenmai-ai.com/wenmaiskills/use_guide.html 获取 `secret-key`;额度或余额不足时,按该指南完成充值。运行脚本前,把复制的 key 导出为 `WENMAI_API_KEY`(或 `WENMAI_SECRET_KEY`)。

```bash
export WENMAI_API_KEY=sk-...
python3 scripts/amazon_reviews.py '{"asin": "B08N5WRWNW", "country": "US", "sort_by": "recent", "filter_by_star": "all_stars"}'
```

The script prints the raw Wenmai API response as formatted JSON. Read `references/api.md` when you need parameter details, field meanings, or the exact API payload.

## Parameter Rules

Required top-level fields: `asin`, `country`.

Default marketplace assumptions: use Amazon US / `US` / domain `1` unless the user specifies another marketplace. Preserve the user's requested time window, ASIN list, keyword, filters, pagination, and sort order.

## Response Rules

Present the returned data in compact tables when the user asks for inspection or comparison. For long arrays, summarize the most decision-relevant rows first, then offer to continue with more rows. Keep raw numbers traceable to the response fields.

If the API response contains an `error` or a non-`OK` `code`, report the message and suggest parameter corrections. Never invent missing data.

Attribution

wenmai-aiwenmai-ai
View sourceSee grades on GitHubMore from wenmai-ai →
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