name: web-verification description: Grounds clinical diagnosis via live medical literature search using Google Search Tool license: MIT compatibility: opencode metadata: audience: developers workflow: clinical-pipeline
What I do
I ground the AI-generated diagnosis in real medical literature by searching for relevant sources. I verify that the diagnosis aligns with current clinical guidelines and research.
When to use me
Use this when:
- Fairness validation is complete and you need web verification
- You need to cite authoritative sources for the diagnosis
- You're ensuring the diagnosis aligns with current medical knowledge
Key Concepts
- Google Search Tool: Live web search for medical literature
- Source Verification: Confirm diagnosis with clinical guidelines
- Web Evidence: Citations from peer-reviewed sources
- web_verified: State flag after verification complete
Source Files
services/router.ts: Web verification routingtypes.ts: AnalysisResult with webVerification field
Code Patterns
- Search for relevant medical literature based on detected conditions
- Verify diagnosis aligns with clinical guidelines
- Return verified flag, sources, and summary
Operational Constraints
- Must provide at least one authoritative source
- Non-critical failure - return "skipped" rather than crash
- Flag AI reasoning vs. grounded web sources in output