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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.
Passed 19 of 22 test cases with the skill, and 9 of 22 without it.
and 10 more in the full report
10 fixed9 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
What technique is used to analyze review length patterns for automated or bot-generated template detection, and what weight does it carry?
| Checked | Without skill | With skill |
|---|---|---|
| Uses entropy analysis for review length evaluation | Missed | Passed |
| Assigns a 5 percent weight to Review Length | Missed | Passed |
The instructions your model reads when the skill loads.
Review authenticity analyzer — detect fake reviews, suspicious patterns, and rating manipulation.
npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker -g
| 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 |
| 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 |
| Score | Level | Description |
test cases passed, vs 9 / 22 without
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