AgentSkillsHub is a production-grade web application that indexes, grades, and surfaces open-source AI agent skills, MCP servers, and Claude/Codex skills. It operates as a full-stack directory with a trust-layer differentiator: each skill receives a deterministic security grade (SAFE/CAUTION/UNSAFE/REJECT) from a rule-based scanner (35 patterns across 11 categories) and a composite quality score (10 signals). The system is architected as a FastAPI monolith (backend) with a React SPA frontend pre-rendered for SEO via 13+ build-time generators, backed by Supabase (PostgreSQL) and triggered by GitHub Actions every 8 hours. It ingests data from the GitHUB Search API through a 6-phase pipeline (search → metadata → README fetch → scoring → classification → composability), then serves the catalog via static HTML pages, REST API endpoints, an MCP server, and a CLI tool. Monetization includes a Pro tier with paid deep search, a $49 deep-audit per skill, and enterprise subscriptions. The codebase also produces original research: a published dataset of 130k+ graded skills, an arXiv paper on security distributions, a 12-chapter Blue Book, and extensive SEO/GEO strategy documents. Despite its hybrid nature (both a software application and a data research project), the dominant character is application because the running web service is primary; the research outputs are byproducts of the operational pipeline.