What problem does it solve? Teams building Baekjoon/LeetCode-style judge or learning platforms face legal and policy uncertainty around storing problem statements, crawling platform data, reusing editorials, storing user submission code, and AI assistance in contests or assignments. This Skill surfaces those risks early and turns them into product requirements, scope boundaries, and verification questions. ## Core Features & Use Cases - Risk Register Generation: Produces structured risk registers covering copyright, scraping/ToS, privacy (PIPA/GDPR/CCPA), minors' consent, AI training consent, and contest/assignment integrity. - Safer Content Strategy: Recommends product-safe content approaches such as link-out only, metadata-only storage, licensed content, and original problems, with trade-offs. - Policy Verification Checklist: Lists what to verify against official ToS, API limits, robots policies, contest rules, and AI provider retention settings. - Use Case: When a planner asks "can we crawl Baekjoon problems and summarize editorials for our MVP?", the Skill separates the CFAA/ToS/copyright questions, flags -NC/-ND license traps, and outputs an MVP recommendation with verification questions for counsel. ## Quick Start Ask the Skill to review whether your algorithm learning platform can store crawled problem statements and user submission code, and request a risk register with safer alternatives.