{"page":1,"limit":100,"total":1,"total_catalog":69077,"catalog_meta":{"core_certified":59946,"community_indexed":9131,"aggregate_tracked":64349,"total_all":133426,"tiers_doc":"core = evidence-gated (adoption/verification/age) | community = indexed with weak signal, trust<=55 | aggregate = tracking-only inventory (see /api/community)"},"total_pages":1,"has_next":false,"has_prev":false,"sources":{"github":12130,"community-submitted":18,"npm-registry":24788,"pypi":14311,"smithery":6195,"official-registry":9076,"crates":1933,"docker":625,"community-submission":1},"skills":[{"id":"mn-sm2-01628","name":"yangg40/scholar-feed","slug":"yangg40-scholar-feed","description":"Search 600,000+ CS/AI/ML research papers with LLM-generated novelty analysis, without leaving Claude Code, Cursor, or any MCP client. Built for researchers running a literature review where they alrea","category":"Search","price":0,"free":true,"sentinel_score":7,"review_status":"auto-scanned","risk_level":"red","install":"npx -y @smithery/cli@latest install yangg40/scholar-feed","author":"yangg40","version":"0.0.0","tags":["mcp"],"source":{"type":"smithery","url":"https://www.scholarfeed.org/developers","use_count":7974,"verified":false},"indexed_at":"2026-09-10","tier":"core","trust_score_100":76,"badge_url":"https://www.marketnow.site/api/badge/yangg40-scholar-feed.svg","page_url":"https://www.marketnow.site/s/yangg40-scholar-feed"}],"_links":{"self":"/api/skills?page=1&limit=100&q=yangg40%2Fscholar-feed","next":null,"prev":null}}