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Install in OpenClaw
/install amazon-review-reveyes
Description
使用 Reveyes API 批量抓取亚马逊商品评论，支持 20 个站点。 输出评论列表、星级分布统计和差评摘要。 Use when: 用户提到抓评论、查差评、分析竞品口碑、给出 ASIN 编号需要评论数据。 NOT for: 分析已经抓好的本地评论文件，或查询亚马逊商品价格/销量。
README (SKILL.md)
When to Run
- 用户发送 ASIN 编号并要求抓取评论（如「帮我抓 B08N5WRWNW 的评论」）
- 用户说「帮我看看这个竞品的差评」「分析一下这款产品的用户反馈」
- 用户要对比同一商品在多个亚马逊站点的口碑
- 用户要导出评论数据做分析
Parameters
从用户消息中提取以下信息：
| 参数 | 说明 | 默认值 |
|---|---|---|
asin |
亚马逊 ASIN，10 位字母数字（必须） | — |
marketplace |
站点代码，见下方列表 | US |
pages |
抓取页数（1-10），1 页约 10 条评论 | 2 |
filter_star |
星级筛选：all_stars positive critical five_star…one_star |
all_stars |
支持的站点代码：
US CA MX UK DE FR IT ES NL SE PL BE IE JP IN SG AE SA AU BR
Workflow
-
提取参数：从用户消息中识别 ASIN（10 位）、站点代码、页数、星级筛选
- 若用户只给 ASIN，其余使用默认值
- 若用户说「差评」自动设置
filter_star=critical - 若用户说「好评」自动设置
filter_star=positive
-
执行抓取：调用
scripts/fetch.py，传入参数python scripts/fetch.py \x3CASIN> \x3Cmarketplace> \x3Cpages> \x3Cfilter_star> -
等待完成：脚本内部自动轮询（最多 5 分钟），完成后输出 JSON 结果
-
格式化输出：
- 汇总：总评论数、平均评分、各星级占比
- Top 5 差评（如请求的是
critical或all_stars）：标题 + 正文前 150 字 - 如评论数 > 20，额外输出高频关键词（从差评标题提取）
-
错误处理：
AuthenticationError→ 提示用户检查REVEYES_API_KEYInsufficientCreditsError→ 提示前往 https://www.reveyes.cn 充值BadParamsError→ 提示检查 ASIN 或站点代码是否正确TimeoutError→ 告知任务仍在运行，提供 task_id 供后续查询
Output Format
📦 ASIN: B08N5WRWNW | 站点: US | 共 87 条评论
⭐ 评分分布：
★★★★★ 42 条 (48%) ████████████
★★★★☆ 18 条 (21%) █████
★★★☆☆ 8 条 (9%) ██
★★☆☆☆ 5 条 (6%) █
★☆☆☆☆ 14 条 (16%) ████
📝 典型差评（最近 5 条）：
1. ★★ "Stopped working after 2 weeks"
Bought this expecting quality but it broke down...
2. ★★ "Not as described"
The color is completely different from the photos...
[查看完整结果或导出 CSV，请告诉我]
Usage Guidance
This skill appears to do what it says: it calls the Reveyes API to fetch Amazon reviews and requires only REVEYES_API_KEY. Before installing, verify you trust Reveyes (https://www.reveyes.cn), confirm the 'reveyes' Python package on PyPI is legitimate, and be aware that using the skill will consume credits on your Reveyes account. If you have strict offline or secret-handling policies, ensure the agent environment only supplies REVEYES_API_KEY (and no other unrelated credentials). Finally, review the reveyes SDK and the referenced GitHub repo if you want to audit network behavior or data retention policies.
Capability Analysis
Type: OpenClaw Skill
Name: amazon-review-reveyes
Version: 1.0.0
The skill is a legitimate integration for fetching Amazon product reviews via the Reveyes API. It utilizes a dedicated Python SDK (reveyes) and follows a transparent workflow of parameter extraction, API interaction, and data summarization. The code in scripts/fetch.py is straightforward and handles the REVEYES_API_KEY as expected for authentication, with no evidence of data exfiltration, malicious execution, or harmful prompt injection in the SKILL.md instructions.
Capability Assessment
Purpose & Capability
Name/description, README, SKILL.md, clawhub.json, and scripts/fetch.py all align: the skill calls the Reveyes API to fetch Amazon reviews. The single required env var (REVEYES_API_KEY) and the declared pip dependency on 'reveyes' are appropriate for this purpose.
Instruction Scope
SKILL.md explicitly limits runtime behavior (extract parameters, call scripts/fetch.py, format results). The instructions reference only the REVEYES_API_KEY and the included script; they do not ask to read unrelated local files, other credentials, or send data to unexpected endpoints.
Install Mechanism
This is an instruction-only skill with a bundled helper script (no install spec). clawhub.json declares a pip requirement ('reveyes>=0.1.2') and README instructs running 'pip install reveyes'. No arbitrary URL downloads or archive extraction are present, but the user should be aware that the reveyes Python package will need to be installed from PyPI.
Credentials
Only REVEYES_API_KEY is required and it is justified by the stated integration. No unrelated secrets or system config paths are requested.
Persistence & Privilege
always is false and there is no indication the skill modifies other skills or system-wide agent settings. It behaves as a normal, user-invokable skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install amazon-review-reveyes - After installation, invoke the skill by name or use
/amazon-review-reveyes - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Rename to amazon-review-reveyes for better discoverability
Metadata
Frequently Asked Questions
What is Amazon Review Reveyes?
使用 Reveyes API 批量抓取亚马逊商品评论，支持 20 个站点。 输出评论列表、星级分布统计和差评摘要。 Use when: 用户提到抓评论、查差评、分析竞品口碑、给出 ASIN 编号需要评论数据。 NOT for: 分析已经抓好的本地评论文件，或查询亚马逊商品价格/销量。 It is an AI Agent Skill for Claude Code / OpenClaw, with 125 downloads so far.
How do I install Amazon Review Reveyes?
Run "/install amazon-review-reveyes" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Amazon Review Reveyes free?
Yes, Amazon Review Reveyes is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Amazon Review Reveyes support?
Amazon Review Reveyes is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Amazon Review Reveyes?
It is built and maintained by zhuojiuya (@zhuojiuya); the current version is v1.0.0.
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