Amazon Review Monitor
PassAudited by ClawScan on May 1, 2026.
Overview
The skill appears to do what it describes: fetch Amazon review pages, analyze them, draft local response text, and save a local report, with no credential use or hidden install behavior evident.
This skill looks coherent and low-risk from the provided artifacts. Before installing, be aware that it scrapes Amazon review pages and saves the collected review data locally under a reports directory. It drafts response text only; it does not appear to log in to Amazon, use seller credentials, or post responses automatically.
Findings (2)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Running the skill will contact Amazon review pages and may generate multiple requests depending on the requested page count.
The script sends network requests based on user-supplied ASIN, marketplace, and page values. This is expected for an Amazon review monitor, but users should understand it performs web scraping.
url = f"https://www.amazon.{marketplace}/product-reviews/{asin}?pageNumber={page}&sortBy=recent"Use valid Amazon marketplaces and reasonable page counts, and ensure this type of scraping is acceptable for your use case.
Review text, ratings, themes, and generated response drafts may remain on disk after the command finishes.
The skill saves scraped review text and analysis to a local JSON report. This is purpose-aligned, but it creates persistent local data from retrieved web content.
report_file = os.path.join(report_dir, f"reviews-{asin}.json")
with open(report_file, "w") as f:
json.dump(result, f, indent=2, default=str)Review or delete saved reports when no longer needed, especially if review content includes sensitive customer complaints or business information.