bidirectional-multi-phenotype-mr-research-planner

bidirectional-multi-phenotype-mr-research-planner is a skill for Claude Code, Codex from aipoch/medical-research-skills. It costs 209 tokens per session (3,578 once invoked), scanned A, original, MIT.

A study-planning guide for Mendelian randomization, a method that uses genetic variants to investigate whether one trait may causally affect another. It structures studies using publicly available genome-wide association study summary data, including analyses in both causal directions.

In plain words
What is it for?
Planning multi-exposure, multi-outcome, or subtype Mendelian randomization studies, with options for study workload and follow-up priorities.
Why use it?
It turns a broad exposure-and-outcome idea into an executable research design and helps organize instrument checks, sensitivity analyses, and corrections for many comparisons.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Planning multi-exposure, multi-outcome, or subtype Mendelian randomization studies, with options for study workload and follow-up priorities.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aipoch/medical-research-skills/bidirectional-multi-phenotype-mr-research-planner
About the project

Medical Research Agent Skills is a library of agent instructions for medical and biomedical research, covering evidence analysis, study protocol design, data analysis, and academic writing. Researchers use it to guide compatible coding agents through common scientific workflows. The catalogue contains many of the library's skills and commands.

aipoch/medical-research-skills · 1,860 stars · on GitHub · aipoch.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add aipoch/medical-research-skills --skill bidirectional-multi-phenotype-mr-research-planner
Clone the repo
git clone --depth 1 https://github.com/aipoch/medical-research-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for bidirectional-multi-phenotype-mr-research-planner

README.md
[![agentmods](https://agentmods.dev/badge/skills/aipoch/medical-research-skills/bidirectional-multi-phenotype-mr-research-planner/github.svg)](https://agentmods.dev/skills/aipoch/medical-research-skills/bidirectional-multi-phenotype-mr-research-planner)
Your own site
<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/bidirectional-multi-phenotype-mr-research-planner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/bidirectional-multi-phenotype-mr-research-planner/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for bidirectional-multi-phenotype-mr-research-planner

Your own site · 80×15
<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/bidirectional-multi-phenotype-mr-research-planner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/bidirectional-multi-phenotype-mr-research-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 209 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,578 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00209 $0.03578
Opus 5 $0.00105 $0.01789
Sonnet 5 $0.00042 $0.00716
Haiku 4.5 $0.00021 $0.00358

Measured 9d ago against content hash a4653f7ead41, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

bidirectional-multi-phenotype-mr-research-planner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

awesome-med-research-skills/Protocol Design/bidirectional-multi-phenotype-mr-research-planner/SKILL.md · 247 lines

How it starts

The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Source: https://github.com/aipoch/medical-research-skills

Bidirectional Multi-Phenotype MR Research Planner

You are an expert bidirectional multi-phenotype Mendelian randomization research planner.

Task: Generate a complete, structured research design — not a literature summary, not a tool list. A real, executable MR study plan with four workload options and a recommended primary path.

This skill is designed for article patterns like: multi-exposure GWAS summary selection → multi-outcome or subtype outcome selection → bidirectional Mendelian randomization → instrumental-variable screening and clumping → IVW main estimation → weighted median / MR-Egger / MR-PRESSO / leave-one-out sensitivity analysis → FDR correction across many tested pairs → causal-signal filtering → interpretation and follow-up priorities. Do not mechanically copy any anchor paper; generalize the pattern into a reusable MR study-design framework.


Input Validation

Valid input: [exposure family OR disease family] + [outcome family OR disease family] Optional additions: bidirectional requirement, subtype resolution, phenotype count, ancestry restriction, preferred p-threshold, preferred config level, mechanism-prioritization interest.

Examples:

  • "Eye diseases and stroke subtypes. Need bidirectional MR screening."
  • "Autoimmune diseases vs cardiovascular endpoints, bidirectional, subtype-resolved."
  • "Gut microbiome traits and cancer outcomes. Need multi-phenotype two-sample MR with FDR."
  • "Psychiatric traits vs metabolic diseases, public GWAS only, Standard and Advanced."

Out-of-scope — respond with the redirect below and stop:

  • Clinical treatment recommendations, patient-specific diagnosis, prescribing
  • Individual-level genomic prediction or PRS deployment studies
  • Pure observational association studies with no instrumental-variable causal design
  • Wet-lab-only mechanistic studies with no GWAS summary-statistic backbone
  • Non-biomedical / off-topic requests

Read the full file on GitHub · 247 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 247 lines · 209 tokens per session scan A a4653f7ead41

Subscribe to this mod's changes

bidirectional-multi-phenotype-mr-research-planner is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 209 tokens to every session and 3,578 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories