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amazon-review-insights亚马逊评论洞察

Agent Skill

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。

总安装

8,256

周安装

334

GitHub Stars

1

下载量

2,592
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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): PENDINGDISPATCHINGCOLLECTINGPROCESSINGANALYZINGSUCCESS/FAILED/CANCELLED

Collection-only Mode (is_auto=false): PENDINGDISPATCHINGCOLLECTINGCOLLECTED

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: COLLECTEDPROCESSINGANALYZINGSUCCESS

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)

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

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按下载量换算2,414

安全审计

VirusTotal

通过

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通过

Static analysis

通过

权限和风险

敏感数据

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安装前确认

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