{"page":1,"limit":100,"total":3,"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-py2-03112","name":"goldensuite-mcp","slug":"goldensuite-mcp","description":"One MCP server exposing every Golden Suite tool — goldenmatch, goldencheck, goldenflow, goldenpipe, infermap","category":"Version Control","price":0,"free":true,"sentinel_score":9,"review_status":"auto-scanned","risk_level":"red","install":"uvx goldensuite-mcp","author":"Ben Severn <benzsevern","version":"0.6.1","tags":["mcp","python"],"source":{"type":"pypi","url":"https://pypi.org/project/goldensuite-mcp/","note":"Indexed from PyPI with Sentinel Index Heuristics (package age, GitHub repo link, curated lists, injection markers). Downloads from pypistats when available.","repo_url":"https://github.com/benseverndev-oss/goldenmatch"},"indexed_at":"2026-09-10","tier":"core","trust_score_100":90,"badge_url":"https://www.marketnow.site/api/badge/goldensuite-mcp.svg","page_url":"https://www.marketnow.site/s/goldensuite-mcp"},{"id":"mn-ofr-08931","name":"goldenflow","slug":"goldenflow","description":"Standardize, reshape, and normalize messy data — CSV, Excel, Parquet, S3, databases.","category":"Data","price":0,"free":true,"sentinel_score":8,"review_status":"auto-scanned","risk_level":"yellow","install":"https://goldenflow-mcp-production.up.railway.app/mcp/","author":"benseverndev-oss","version":"1.13.0","tags":["mcp"],"source":{"type":"official-registry","url":"https://registry.modelcontextprotocol.io/v0.1/servers/io.github.benseverndev-oss/goldenflow","registry_name":"io.github.benseverndev-oss/goldenflow","status":"active","remotes":[{"type":"streamable-http","url":"https://goldenflow-mcp-production.up.railway.app/mcp/"}],"published_at":"2026-07-05T12:51:22.071256Z"},"indexed_at":"2026-09-10","tier":"core","trust_score_100":85,"badge_url":"https://www.marketnow.site/api/badge/goldenflow.svg","page_url":"https://www.marketnow.site/s/goldenflow"},{"id":"mn-sm2-05646","name":"benzsevern/goldenflow","slug":"benzsevern-goldenflow","description":"Standardize, reshape, and normalize messy data — CSV, Excel, Parquet, S3, databases.","category":"Data","price":0,"free":true,"sentinel_score":7,"review_status":"auto-scanned","risk_level":"red","install":"npx -y @smithery/cli@latest install benzsevern/goldenflow","author":"benzsevern","version":"0.0.0","tags":["mcp"],"source":{"type":"smithery","url":"https://github.com/benzsevern/goldenflow","use_count":17,"verified":false},"indexed_at":"2026-09-10","tier":"core","trust_score_100":62,"badge_url":"https://www.marketnow.site/api/badge/benzsevern-goldenflow.svg","page_url":"https://www.marketnow.site/s/benzsevern-goldenflow"}],"_links":{"self":"/api/skills?page=1&limit=100&q=goldenflow","next":null,"prev":null}}