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Agent Skill · 研究检索

amazon-review-insights(亚马逊评论洞察)

amazon-review-insights 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

amazon-review-insights 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 14,845。

总安装 8,256周安装 334GitHub Stars 1下载 2,592核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.2.1

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-review-insights(亚马逊评论洞察)
来源仓库:https://github.com/sparkbayes/amazon-review-insights
安装命令:
openclaw skills install amazon-review-insights
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-review-insights

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

为全球电商卖家提供AI驱动的负面评论深度分析。支持多语言评论处理与竞争对手评论对比。amazon-review-insights 属于研究检索类 Skill,可作为该场景下的辅助能力补充。输出可执行的产品优化建议和客服回复模板。

安装命令:openclaw skills install amazon-review-insights。需授权访问目标ASIN的评论数据方可启用分析功能。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install amazon-review-insights;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

amazon-review-insights 怎么安装?

在终端执行 openclaw skills install amazon-review-insights。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

amazon-review-insights 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

amazon-review-insights 需要什么权限?

权限级别是接触敏感数据。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。

amazon-review-insights 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

amazon-review-insights 用的人多吗?

公开数据是累计安装 8,256 次,近一周安装 334 次,下载 2,592 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

amazon-review-insights 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
amazon-review-insights

亚马逊评论洞察 · 本页

8,2561接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
amazon-review-insights
description
Amazon product review intelligence analysis tool for global e-commerce sellers. Core capabilities:fetch Amazon reviews, AI-powered negative review analysis, quantify high-frequency issues, discover hidden negative feedback in 5-star reviews, generate improvement suggestions, track review trends, incremental updates.
metadata
openclaw
requires
env
dependencies
python

AstrMap Review Insights Skill

Language

  • Reply in English if user input is in English or non-Chinese (as this is the unified language)
  • Reply in 中文 if user input is in Chinese

Configuration

API Key

All API calls require an API Key for authentication.

Note: The API endpoint is fixed at https://api.astrmap.com and is not configurable.

Recommended: Set the environment variable in ~/.zshrc or ~/.bashrc:

export CUSTOMER_INSIGHTS_API_KEY="your-api-key-here"
To obtain an API Key: Download and install the AstrMap desktop client from https://www.astrmap.com/, log in, click User Menu (bottom-left) → API Keys, create and copy your API Key.

Important: If CUSTOMER_INSIGHTS_API_KEY is not set or no API Key is provided, ask the user first:

"Please provide your AstrMap API Key (download at https://www.astrmap.com/, log in, click User Menu → API Keys to create one)" Then pass it via --api-key parameter for all subsequent commands.

Security Notice: This Skill sends the API Key to AstrMap servers (api.astrmap.com) for authentication. The API Key will not be used to access other services.

Feature Tiers

FeatureRequires Desktop ClientRequires API Key
Query completed analysis resultsNoYes
Create collection-only taskYes (online)Yes
Create auto-analysis taskYes (online)Yes
Incremental fetchYes (online)Yes
Manual trigger analysisNoYes
Tip: If you only need to query completed analysis results, you can use the API Key directly without downloading the desktop client.

Desktop Client

Creating tasks requires the AstrMap desktop client running online.

When device is offline (check_device returns 1001 error):

  1. Ask the user: "The desktop client is not running. Have you installed it?"
  2. If not installed: Ask if you should help download, then guide through extraction and startup
  3. If installed but not running: Prompt user to start the desktop client, then re-check online status

Desktop Client Download & Installation

1. Get Download Links
python scripts/api_client.py --action get_download_links
2. Extraction Notes
Important: Do not use Windows built-in extraction tools (may cause issues). Use 7-Zip, WPS Extraction, or similar tools instead.
3. Startup Guide

macOS: Move the folder to "Applications" directory, right-click Astrmap.app → "Open", if blocked go to "System Settings → Privacy & Security → General" → "Still open".

Windows: Right-click "launch.vbs" → "Run with PowerShell" or double-click to start.

4. Initial Setup

After launching:

  1. Log in to your AstrMap account
  2. Log in to your Amazon buyer account (do not use your seller account)
  3. Ensure Amazon access is working

Security & Verification

For detailed security verification, privacy risk statement, Amazon account security, and API Key safety guidelines, read {baseDir}/references/security.md.

Dependency Installation

pip install -r requirements.txt

Important Notes

Points System

  • Create task (auto mode): Free review collection, AI analysis deducts points
  • Create task (collection-only mode): Free review collection, no point deduction
  • Incremental fetch: Fetch latest reviews and re-analyze, deducts points
  • Query results: View completed results, no point deduction

Prerequisites (only for creating tasks)

  1. AstrMap desktop client is logged in
  2. Desktop client is logged in to Amazon buyer account
  3. Amazon access is working
Querying completed task results has no restrictions and can be called directly.

Workflow

Invocation

python scripts/api_client.py --action <action> [--params...]

1. Check Device Online

python scripts/api_client.py --action check_device --api-key "your-key"

Response: {online: true, device_id: "xxx", status: "idle"}

2. Create Task

Note: Creating a task deducts points. Before executing, inform the user and wait for confirmation: "About to create task. Current points: {points}. This will deduct points. Continue?"

Create Task Flow:

  1. --action check_device → Check device online status
  2. --action get_points → Check account points
  3. Inform user of point consumption, wait for confirmation
  4. Confirm prerequisites, then --action create_task --asin <ASIN> --site <site> [--is-auto false]

Run Mode:

ParameterDescription
--is-auto true (default)Auto mode: automatically trigger AI analysis after collection
--is-auto falseCollection-only mode: stops at "pending analysis" status

Site Mapping: US/CA/UK(English), DE(German), FR(French), IT(Italian), ES(Spanish), JP(Japanese)

Command Examples:

python scripts/api_client.py --action create_task --api-key "your-key" --asin "B09V3KXJPB" --site US

3. Poll Task Status

After submission, poll every 6 minutes:

python scripts/api_client.py --action get_task_detail --api-key "your-key" --task-id "TSK_xxx"

Status Flow:

Auto Mode (is_auto=true): PENDING → DISPATCHING → COLLECTING → PROCESSING → ANALYZING → SUCCESS/FAILED/CANCELLED

Collection-only Mode (is_auto=false): PENDING → DISPATCHING → COLLECTING → COLLECTED

Status Prompts:

StatusUser Message
PENDING"Task submitted, waiting for scheduling..."
DISPATCHING"Allocating device..."
COLLECTING"Fetching Amazon review data, please wait (usually 20~120 seconds)"
PROCESSING"Review data fetched, processing..."
ANALYZING"Data processing complete, AI analyzing..."
SUCCESS"Analysis complete! Fetching results..."
FAILED"Task failed. Please check device status and network connection."
CANCELLED"Task cancelled"
COLLECTED"Collection complete! In pending analysis state."
If task does not complete after a long time (over 18 minutes), prompt user to check if desktop client is online.

4. Get Analysis Results

# AI Insights Summary
python scripts/api_client.py --action get_ai_insights --api-key "your-key" --task-id "TSK_xxx"
# Tag Distribution
python scripts/api_client.py --action get_tag_categories --api-key "your-key" --task-id "TSK_xxx"
# Basic Statistics
python scripts/api_client.py --action get_basic_statistics --api-key "your-key" --task-id "TSK_xxx"
# Negative Reviews List
python scripts/api_client.py --action get_negative_reviews --api-key "your-key" --task-id "TSK_xxx" --page 1 --page-size 20
Note: Querying completed task results does not deduct points and has no prerequisites.

5. Incremental Fetch

Note: Incremental fetch deducts points. Before executing, inform user and wait for confirmation.

Incremental Fetch Flow:

  1. Check device and points
  2. Inform user of point consumption, wait for confirmation
  3. --action create_incremental --task-id <task_id>
  4. Poll status (same as create task)

6. Manual Trigger Analysis (Collection-only Mode)

Tasks in collection-only mode (is_auto=false) stop at COLLECTED status, requiring manual AI analysis trigger:

python scripts/api_client.py --action trigger_analysis --api-key "your-key" --task-id "TSK_xxx"

Status flow: COLLECTED → PROCESSING → ANALYZING → SUCCESS

All Available Actions

actionDescriptionRequired Parameters
get_download_linksGet desktop client download links-
check_deviceCheck if device is online-
create_taskCreate task--asin, --site
create_incrementalIncremental fetch--task-id
trigger_analysisManual trigger analysis--task-id
get_task_detailQuery task details--task-id
get_task_listGet task list-
get_ai_insightsGet AI insights--task-id
get_tag_categoriesGet tag distribution--task-id
get_issue_statisticsGet issue dimension statistics--task-id
get_top_issuesGet top issues distribution--task-id
get_basic_statisticsGet basic statistics--task-id
get_negative_reviewsGet negative reviews list--task-id
get_trendGet review trends--task-id
get_related_commentsGet comments associated with tag/issue--task-id, --association-type
get_commentsGet raw comments--task-id
get_comments_overviewGet comments overview--task-id
get_pointsQuery points balance-

Error Handling

Error CodeDescriptionHandling
1001Device offlineDesktop client not running. Ask if installed; if not, provide download guide
1002Insufficient pointsPrompt user to recharge at https://www.astrmap.com/
2001Invalid API KeyCheck if API Key is correct
2002API Key disabledPrompt user to create new API Key
2003API Key expiredPrompt user to create new API Key
2004Insufficient permissionsCheck API Key permission configuration
2005Request rate exceededPrompt user to retry later
InvalidTaskStatusTask status is not COLLECTEDOnly collection-only tasks with COLLECTED status can trigger analysis

Detailed API Documentation

For detailed API endpoint documentation, request parameters, and response formats, see API Reference.

Usage Examples

Scenario 1: Create New Task

User: Help me get and analyze reviews for B09V3KXJPB
AI Agent:
1. Check API Key → if not configured, ask user to provide
2. Check device and points
3. Inform point consumption, wait for confirmation
4. Create task
5. Poll status every 6 minutes, provide real-time progress
6. After analysis complete, get results

Scenario 2: Collection-only Mode + Manual Trigger Analysis

User: Help me collect reviews only, don't analyze for now
AI Agent:
1. Check API Key and device
2. Create task with --is-auto false
3. Poll status until COLLECTED
4. After user confirms analysis, run trigger_analysis (API Key only, no desktop client required)

Scenario 3: Query Completed Task

User: View analysis results for TSK_xxx
AI Agent:
1. Check API Key
2. Get analysis results directly (no device or prerequisites required)

平台分布

OpenClaw

93.14%
按下载量换算2,414

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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