jcpenney-product-data@1.0.1
VERIFIED· install onlyPublisher claims: "JCPenney product data as structured JSON - search jcpenney.com or browse any category, a brand, or the Clearance, Sale, Black Friday, Big Buy, Limited Time Special, Closeout and Buy 1 Get 1 deal lists, 48 products per page (up to 25 pages) with the current and regular price range, price type (sale, clearance, original), percent off, deal label, the price after today's coupon with the coupon code, rating, review count, badge and colors, filtered by brand, color, size, price range, deal label or any facet (store pickup, rating, gender...); read one product with every variant's SKU, UPC, color, size and online stock, or up to 20 products in one call; get real unit counts for one SKU at the 5 nearest stores to a ZIP; find stores with hours and services; pull search suggestions and today's public JCPenney coupon codes; read real review text (sorted most recent, most helpful, highest or lowest rating, or relevance, optionally one star rating) with verified, incentivized and syndicated badges, photos, the brand's reply and Quality / Value ratings, and customer questions with every answer labelled brand, JCPenney staff, AI or customer. 11 endpoints, 1 credit each." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Nothing executable in the bundle ran; the trace covers the install step only.- Tested
- every file read, file written and host contacted by what ran
- Not tested
- use of the skill by an agent
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-10 and scored it 93/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
No findings across 1,014 lines in 1 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.