Validate final medical analyses against extracted source data.
npx skills add https://github.com/n1healthcare/easy-chr --skill validator-n1healthcare
Please help me install this Agent Skill. Skill: validator Source: https://github.com/n1healthcare/easy-chr/tree/main/server/.gemini/skills/validator Command: npx skills add https://github.com/n1healthcare/easy-chr --skill validator-n1healthcare
Comprehensive validator that checks ALL facts, claims, numbers, context, and qualitative data against source documents.
Run the validator against extracted.md and final_analysis.md to identify missing data, misinterpretations, and unsupported claims.
High-intent search queries and answers about installing and using this skill.
To verify medical analysis against source documents, compare the extracted data and synthesized analysis to check numeric values, qualitative items, and context. This validation flags missing data, misinterpretations, and unsupported claims for remediation.
Checking numeric data completeness involves verifying that every numeric value in your extracted data appears in the final analysis. This ensures no quantitative medical data is lost during synthesis.
Yes, you can detect unsupported claims and misinterpretations by validating the final analysis against extracted data. This process checks qualitative items and context to flag inconsistencies across multiple sections.
To ensure qualitative coverage, validate that symptoms, medical history, medications, and contextual details from extracted data are fully represented in the final analysis, preserving all necessary context.
Automated fact verification for medical context gaps relies on comparing extracted data against final analysis files. It requires both files to be properly formatted, as it cannot verify facts absent from the original source extraction.
9AshwinGenerate a structured analysis framework with chapter skeleton and data requirements.
Snowflake-LabsA concise summary of your roleplay character: name,</name> personality, and/or behavior, formatted as a single string sentence. Typically不超过50字，此处省略
NyuaVerify documents for epistemic quality before RAG ingestion.
KQDtianxiaKCoordinate iterative worker-verifier loops with configurable stop conditions.
