bio-causal-genomics-pleiotropy-detection

PKU-YuanGroup/OpenAI4S

SkillLoads cleanly

Detect and adjust for horizontal pleiotropy in two-sample Mendelian randomization by distinguishing uncorrelated (UHP) from correlated (CHP) pleiotropy and…

Scores
out of 100 · grade A

2026-08-22

Works

40% of the score

100/100

Loads cleanly: valid frontmatter, required fields present, no dangling references.

Maintained

25% of the score

100/100

no commits in the last 12 weeks

Adopted

20% of the score

35/100

335 stars on the source repo.

Documented

15% of the score

90/100

4,885 words with worked examples.
Ships 6 bundled files.

Loads cleanly. Every structural check Claude Code needs to register this passed. Last commit today.

Install

npx skills add PKU-YuanGroup/OpenAI4S/bio-causal-genomics-pleiotropy-detection

What it says it does

Detect and adjust for horizontal pleiotropy in two-sample Mendelian randomization by distinguishing uncorrelated (UHP) from correlated (CHP) pleiotropy and choosing among Egger, MR-PRESSO, MR-RAPS, CAUSE, LHC-MR, LCV, MR-Clust, MR-Mix, and contamination-mixture methods. Use when validating an MR causal claim, running the STROBE-MR sensitivity battery, suspecting a shared heritable confounder, working under weak-instrument or polygenic-exposure regimes, or reconciling discordant estimates across robust methods.

Every number above came out of reading the file and its repository. Nothing is a judgement call, nothing is a model’s opinion, and nothing can be paid for. The full method is published. Source last committed 2026-08-22.

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