review-analysis@1.0.0
CAUTION· static onlyPublisher claims: "Analyze customer reviews in bulk and deliver one summary per business: sentiment of each review, themes praised and criticized, complaint severity, complaints left without a reply, 90-day trend. Input is the dataset of any reviews scraper (Google Maps, Trustpilot, Tripadvisor, Booking, Yelp) or an inline list of reviews. Compares the Sherwood Review Analyzer on Apify, doing the review analysis with the agent's own model for small batches, and an unaffiliated social-comments sentiment Actor, and picks one from volume and source. Use when the user says "analyze these reviews", "review analysis of this Google Maps dataset", "sentiment analysis on customer reviews", "what do customers complain about", "which complaints never got a reply", "compare my locations on their reviews", "summarize 2,000 Trustpilot reviews". Out of scope: scraping the reviews themselves (use google-maps-scraper or trustpilot-scraper first), replying to reviews, reviewer identity." Observed in sandbox: static analysis only — behavior not yet observed.
Coverage
Static only; nothing was run yet.The label rests on the code, the instruction files and the publisher. The honeypot run replaces this verdict when it completes.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-09 and scored it 70/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Summary: static analysis only — behavior not yet observed.
Behavior trace
Queued for honeypot run · static analysis onlyThis version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.
Static findings
No findings across 195 lines in 2 files.
Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.
What would make this Verified
10 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim maxouf: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.