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amazon-review-checker

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.

273estrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add nexscope-ai/eCommerce-Skills

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/amazon-review-checker/svg)](https://www.skillteca.com.br/skills/amazon-review-checker)

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Ler descrição completa

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.

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