跳到主要内容
知仓学习社ZHICANG

amazon-review-checker

Amazon review authenticity analyzer. Detect fake reviews, suspicious patterns, and rating manipulation. Includes time clustering detection, content …

写文件联网无严重或高危命中nexscope-ai/eCommerce-Skills

它会碰到什么

扫了多少4 个文本文件,54 KB
它会碰到什么写文件联网
命中总数2 处
命中统计严重 0 · 高 0 · 中 1 · 低 1

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

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

| Level | Required Data | Unlocked Analysis |

|-------|---------------|-------------------|

| L1 Basic | Review content | Similarity, length, keywords |

| L2 Advanced | + Review date | Time clustering detection |

| L3 Deep | + Star rating | Rating distribution analysis |

| L4 Complete | + VP status | Verified purchase validation |

Detection Dimensions

| Dimension | Weight | Method |

|-----------|--------|--------|

| Time Clustering | 25% | Sliding window + burst detection |

| Content Similarity | 20% | N-gram + Jaccard similarity |

| Rating Distribution | 20% | Chi-square test vs natural distribution |

| VP Ratio | 15% | Compare to category benchmark |

| Review Length | 5% | Entropy analysis |

| Suspicious Keywords | 5% | Keyword pattern matching |

Risk Levels

| Score | Level | Description |

|-------|-------|-------------|

| 70-100 | ✅ Low Risk | Reviews appear authentic |

| 50-69 | ⚠️ Medium Risk | Some concerns found |

| 30-49 | 🔴 High Risk | Multiple red flags |

| 0-29 | 💀 Critical | Likely 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.

想直接用这个技能?

本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。