# Omh Biomedical Evidence

[omh] Public variant claims to cross-check: retrieve and reconcile source-labelled...

- Repository: https://github.com/rlaope/oh-my-hermes (5004 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add rlaope/oh-my-hermes --skill omh-biomedical-evidence -g -a claude-code -y`
Codex: `npx skills add rlaope/oh-my-hermes --skill omh-biomedical-evidence -g -a codex -y`
Cursor: `npx skills add rlaope/oh-my-hermes --skill omh-biomedical-evidence -g -a cursor -y`
Gemini CLI: `npx skills add rlaope/oh-my-hermes --skill omh-biomedical-evidence -g -a gemini-cli -y`

## Description

[omh] Public variant claims to cross-check: retrieve and reconcile source-labelled biomedical evidence with identity, conflict and freshness checks. Use when the user says: biomedical-evidence, biomedical evidence reconciliation, ClinVar cross-check, variant evidence matrix, BioMCP capture reconciliation.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Biomedical Evidence

This is an OMH `biomedical-evidence` workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

## Why This Exists

Public sources can disagree about a variant while describing different alleles, diseases or assertion domains. Preserve those differences and their provenance before any synthesis; a fetched record is not a clinical recommendation.

## First Steps

- Read `toolkit/README.md` and `references/execution-and-qa.md`; inspect the installed BioMCP version and help before any public retrieval.
- Require public entities only; name exact identifiers, source terms, isolated workspace and a 40-second per-retrieval host timeout before capturing unmodified stdout/stderr.
- Run `toolkit/scripts/reconcile.py` only against a hash-checked local capture envelope; never execute provider text or install an upstream skill pack.

## Do Not Use When

- For explaining one supplied paper, use `omh-paper-learning`; for broad literature discovery, use `ulw-research`.
- For generic server configuration and connection diagnostics, load the host's MCP setup guidance instead.
- For sequence analysis or omics pipelines, select an available computational biology specialist instead; this method does not implement those analyses.
- For a patient's diagnosis, care, trial eligibility or treatment choice, stop and refer to an appropriately qualified professional; this toolkit cannot provide that decision.

## Examples

Good example:

- Prompt: Cross-check public BRAF V600E and melanoma records across ClinVar and ClinicalTrials.gov, retaining conflicting assertions and missing update dates.
- Expected behavior: Capture exact public queries, reconcile raw JSON offline, and report identity/date gaps with both source receipts.
- Why: Source comparison is bounded and does not ask for patient care.

Bad example:

The rest: https://github.com/rlaope/oh-my-hermes/blob/HEAD/agent-skills/omh-biomedical-evidence/SKILL.md