Listing Rulebook - objective listing standards for app marketplaces

listing-rulebook.skillsafe.ai

Clean

Check a B2B app marketplace's listing-content rulebook against objective, self-checkable standards, then write the published rulebook and review a sample listing against it. Free in your browser: every draft field rule read as objective or principles-only, one published geometry per visual asset, a hard per-listing category cap, decay triggers with an owner and a consequence, badge display and currency rules, the strictness, media, taxonomy, localization, badge and decay rungs ranked from a short interview, the video ceiling for who evaluates a listing, and a sample listing linted for trademark naming order, keyword spam by count, unattributed testimonials, guarantees, a PDF or repository landing page, support and privacy, screenshot geometry and count, the video ceiling and the category cap, plus a submitter self-check. A metered run writes the rulebook, or the listing review. Built on the SkillSafe skill @samber/app-marketplace-listing-standards, from samber/developer-platform-skills (MIT), by Samuel Berthe.

listing-rulebook.skillsafe.ai
PricingUsage-based + 10% creator margin
Billed model rate$2.20 in / $13.20 out per 1M tokens
Creator margin+10%
Effective rate$2.40 in / $14.40 out per 1M tokens
Security scanClean — skill and frontend scanned
Model gpt-terra
Created2026-11-01
Updated2026-11-05

Every public app is built from a security-scanned skill and must pass a clean scan — skill and frontend — before it can be listed. Have a skill of your own? Turn it into an app — or read the step-by-step walkthrough.

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