ecommerce-amazon-reviews-list
Installation
SKILL.md
Amazon Product Reviews
Fetch and analyze Amazon product reviews to help sellers extract actionable insights from customer feedback.
Core Concepts
This tool retrieves real customer reviews for a given Amazon ASIN across 15 marketplaces. You can control how many reviews to fetch per star rating (1-5 stars, up to 100 each), sort by recency or helpfulness, and apply various filters. Only one ASIN per request; for multiple ASINs, make separate calls.
API Invocation
- API Endpoint:
POST /amazon/reviews/list(seereferences/api.mdfor full parameters/responses/error codes) - Python Script:
python scripts/amazon_reviews.py '<JSON params>' [--inline] - Cost Constraints: This tool consumes credits. The same parameter combination in the same session is only called once by default, with 24h local caching in the script. Failed or empty results should not trigger automatic retries with different keywords, pagination, or postal codes. Inform the user before making additional queries that will incur extra costs.
Output Strategy (default script behavior):
- Always write the full response to
<cwd>/nexscope/<YYYY-MM-DD>/<session>/data/nexscope-amazon-reviews-list-<timestamp>.json(<cwd>is the working directory at script execution time, which in Claude Code is the current project directory;<session>is taken from theSESSION_IDenvironment variable, auto-grouped by user task; do not write to /tmp, error out if the current directory is not writable) - Response body less than or equal to 8 KB: print the full JSON to stdout after saving to disk
- Response body greater than 8 KB: after saving, stdout prints only a summary (top-level fields, common counts like
total/costToken, length of the largest list field + first 3 samples) - Add
--inlineto force full output to stdout (still saves to disk)