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Amazon Review Checker

by @phheng

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

Versionv0.1.0
Downloads411
TERMINAL
clawhub install amazon-review-checker

πŸ“– About This Skill


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":"πŸ”","category":"ecommerce"}}

Amazon Review Checker πŸ”

Review authenticity analyzer β€” detect fake reviews, suspicious patterns, and rating manipulation.

Installation

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

Features

  • Authenticity Score β€” 0-100 comprehensive rating
  • Suspicious Pattern Detection β€” Time clustering, content similarity, rating anomalies
  • Fake Review Flagging β€” Mark high-risk reviews with explanations
  • Progressive Analysis β€” 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 | βœ… Low Risk | Reviews appear authentic | | 50-69 | ⚠️ Medium Risk | Some concerns found | | 30-49 | πŸ”΄ High Risk | Multiple red flags | | 0-29 | πŸ’€ 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

    πŸ“Š Review Authenticity Report

    ASIN: B08XXXXX Reviews: 10 Analysis Level: L4

    ━━━━━━━━━━━━━━━━━━━━━━━━

    Authenticity Score: 66/100 ⚠️

    Medium Risk - Some concerns found.

    ━━━━━━━━━━━━━━━━━━━━━━━━

    Detection Dimensions

    πŸ”΄ Time Clustering: 70/100 Max 6 reviews within 48h

    βœ… 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

    πŸ” Want more accurate analysis? Add: β€’ Reviewer info β†’ 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 β€” AI tools for e-commerce sellers.

    πŸ’‘ Examples

    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