amazon-review-checker

---

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)
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.