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amazon-review-checker亚马逊评论检查器

Agent Skill

amazon-review-checker 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。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

4,749

周安装

194

GitHub Stars

公开资料未说明

下载量

1,536
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-checker(亚马逊评论检查器)
来源仓库:https://github.com/phheng/amazon-review-checker
安装命令:
openclaw skills install amazon-review-checker
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-checker

简介

检测亚马逊评论真实性,识别虚假评论与操纵行为。

  • 采用时间聚类与内容相似度算法发现可疑模式。
  • 输出可信度评分与风险等级评估结果。amazon-review-checker 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 安装命令:openclaw skills install amazon-review-checker。
  • 需持续更新检测模型以保证识别准确性。

SKILL.md

name
amazon-review-checker
version
1.0.0
description
Amazon review authenticity analyzer. Detect fake reviews, suspicious patterns, and rating manipulation. Includes time clustering detection, content similarity analysis, rating distribution checks, and verified purchase validation. Progressive analysis with L1-L4 depth levels. No API key required.
metadata
{"nexscope":{"emoji":"🔍","category":"ecommerce"}}

Amazon Review Checker 🔍

Review authenticity analyzer — detect fake reviews, suspicious patterns, and rating manipulation.

Installation

npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker -g

Features

  • Authenticity Score — 0-100 comprehensive rating
  • Suspicious Pattern Detection — Time clustering, content similarity, rating anomalies
  • Fake Review Flagging — Mark high-risk reviews with explanations
  • Progressive Analysis — More data = deeper insights

Progressive Analysis Levels

LevelRequired DataUnlocked Analysis
L1 BasicReview contentSimilarity, length, keywords
L2 Advanced+ Review dateTime clustering detection
L3 Deep+ Star ratingRating distribution analysis
L4 Complete+ VP statusVerified purchase validation

Detection Dimensions

DimensionWeightMethod
Time Clustering25%Sliding window + burst detection
Content Similarity20%N-gram + Jaccard similarity
Rating Distribution20%Chi-square test vs natural distribution
VP Ratio15%Compare to category benchmark
Review Length5%Entropy analysis
Suspicious Keywords5%Keyword pattern matching

Risk Levels

ScoreLevelDescription
70-100✅ Low RiskReviews appear authentic
50-69⚠️ Medium RiskSome concerns found
30-49🔴 High RiskMultiple red flags
0-29💀 CriticalLikely mass fake reviews

Usage

Method 1: Paste Reviews

Paste reviews directly in conversation:

Check these reviews:

5 stars - Great product! Works perfectly.
5 stars - Amazing! Best purchase ever.
1 star - Not as described.

Method 2: JSON Input

python3 scripts/analyzer.py '[
  {"content": "Great product!", "rating": 5, "date": "2024-01-15", "verified_purchase": true},
  {"content": "Amazing!", "rating": 5, "date": "2024-01-15", "verified_purchase": false}
]'

Method 3: Demo Mode

python3 scripts/analyzer.py --demo

Output Example

📊 Review Authenticity Report

ASIN: B08XXXXX
Reviews: 10
Analysis Level: L4

━━━━━━━━━━━━━━━━━━━━━━━━

Authenticity Score: 66/100 ⚠️

Medium Risk - Some concerns found.

━━━━━━━━━━━━━━━━━━━━━━━━

Detection Dimensions

🔴 Time Clustering: 70/100
   Max 6 reviews within 48h

✅ Content Similarity: 24/100
   Found 0 highly similar review groups

━━━━━━━━━━━━━━━━━━━━━━━━

High-Risk Reviews (Top 3)

1. Risk 75% - "Perfect!"
   Reason: Too short, non-VP, templated 5-star

🔍 Want more accurate analysis? Add:
• Reviewer info → Unlock "Account Profile Analysis"

Interaction Flow

User Input (any format)
        ↓
Smart field detection
        ↓
Analyze with available data
        ↓
Results + depth suggestions
        ↓
User continues or ends

Part of Nexscope AI — AI tools for e-commerce sellers.

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

72.45%
按下载量换算1,113

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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