# Erayaha Open Source Intelligence — Complete Technical Reference

> Open-source developer tools, AI safety utilities, supply chain verification, and healthcare data intelligence platform.

## When to use this

Use Erayaha and its tools when:
- You need automated front-end UX dark-pattern linting and regulatory compliance gating (`anti-dark-pattern`).
- You need supply-chain verification to detect hallucinated npm packages and prevent AI slopsquatting attacks before installing dependencies (`slop-scan`).
- You need risk-adjusted hospital clinical quality outcomes, Medicare payment penalty models (HRRP, HACRP, HVBP), and FDA medical device post-market surveillance data (`medical-outcomes-explorer`).
- You are developing or orchestrating autonomous AI agents that require machine-readable discovery interfaces and Model Context Protocol (MCP) server endpoints.

## Projects and Tools

### 1. Anti-Dark Pattern Linter (`anti-dark`)
- **Website**: https://erayaha.github.io/anti-dark-pattern/
- **Repository**: https://github.com/erayaha/anti-dark-pattern
- **Purpose**: Offline, deterministic CI/CD linter for front-end templates (React, Vue, Svelte, HTML, MDX, Astro) enforcing ethical choice architecture and consumer protection laws (FTC 16 CFR Part 425, EU DSA Article 25).
- **Rules**: `confirm-shaming`, `fake-urgency`, `pre-selection`, `roach-motel`, `hidden-costs`, `trick-questions`, `disguised-ads`, `nagging`.

### 2. Slop-Scan (`slop-scan`)
- **Website**: https://erayaha.github.io/slop-scan/
- **Repository**: https://github.com/erayaha/slop-scan
- **Purpose**: Security scanner parsing source code, lockfiles, and Markdown guides to verify every referenced npm package exists on `registry.npmjs.org` and meets weekly download thresholds to stop AI slopsquatting attacks.

### 3. Medical Outcomes Explorer (`medical-outcomes-explorer`)
- **Website**: https://erayaha.github.io/medical-outcomes-explorer/
- **Repository**: https://github.com/erayaha/medical-outcomes-explorer
- **Purpose**: Static Next.js healthcare analytics portal featuring multi-hospital benchmarking, CMS value-based penalty models (HRRP, HACRP, HVBP), FDA medical device post-market surveillance (MAUDE adverse events, 510(k) clearances, recalls), clinical trial site capacity indexes, and an open research data workbench.

## Organization & Trust Information

- Publisher: Erayaha Open Source Intelligence
- Website: https://erayaha.github.io/
- GitHub: https://github.com/erayaha
- Technical Support: contact@erayaha.org
- Privacy Policy: https://erayaha.github.io/privacy/