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
| 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.