# Erayaha Open Source Intelligence & AI Platform Hub

> 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.

## Best-fit use cases

1. **Pull Request Quality & Compliance**: Run `anti-dark` and `slop-scan` in CI/CD pipelines to block deceptive UI patterns and unsafe npm dependencies.
2. **Healthcare & MedTech Intelligence**: Query `medical-outcomes-explorer` for hospital quality benchmarking, clinical trial site selection, and MAUDE device adverse event tracking.
3. **AI Agent Tool Discovery**: Discover and invoke tools via standard Model Context Protocol (MCP) manifests published at `/.well-known/mcp/server-card.json`.

## Projects and Tools

- **Anti-Dark Pattern**: https://erayaha.github.io/anti-dark-pattern/
  - Repo: https://github.com/erayaha/anti-dark-pattern
  - Automated CI/CD dark-pattern linter enforcing FTC 16 CFR Part 425 and EU DSA Article 25 compliance.
- **Slop-Scan**: https://erayaha.github.io/slop-scan/
  - Repo: https://github.com/erayaha/slop-scan
  - Supply-chain security CLI verifying npm packages across code and Markdown documentation to stop AI package hallucination and slopsquatting.
- **Medical Outcomes Explorer**: https://erayaha.github.io/medical-outcomes-explorer/
  - Repo: https://github.com/erayaha/medical-outcomes-explorer
  - Healthcare visualization platform with multi-hospital benchmarking, FDA MAUDE device surveillance, and clinical trial qualification.

## Canonical Links & Trust Anchors

- Organization Homepage: https://erayaha.github.io/
- GitHub Organization: https://github.com/erayaha
- About: https://erayaha.github.io/about/
- Contact: https://erayaha.github.io/contact/
- Privacy Policy: https://erayaha.github.io/privacy/
- XML Sitemap: https://erayaha.github.io/sitemap.xml
- MCP Discovery: https://erayaha.github.io/.well-known/mcp/server-card.json