tooluniverse-gwas-finemapping

Statistical fine-mapping of GWAS loci using credible sets (SuSiE.

What this skill does for you

Statistical fine-mapping of GWAS loci using credible sets (SuSiE, FINEMAP) and locus-to-gene scoring (Open Targets L2G). Identifies likely causal variants and target genes : distinct from positional 'nearest gene' which is often wrong. Use for prioritizing causal variants at GWAS hits, comparing fine-mapping methods, and converting lead SNPs to target genes.

Quoted from the skill description in the pinned source

Who made it

Publishermims-harvard

Repositorytooluniverse

Installs354as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the tooluniverse-gwas-finemapping skill from mims-harvard/tooluniverse.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 40aabf8fbe7b153061f76eeb4be70415dc6f1126. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 40aabf8fbe7b153061f76eeb4be70415dc6f1126. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 40aabf8fbe7b153061f76eeb4be70415dc6f1126. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/mims-harvard/tooluniverse
Pinned skill file: View source at revision
Revision: 40aabf8fbe7b153061f76eeb4be70415dc6f1126
Package hash: sha256:90c56cc3e5330356a9545e6389ba6f5f9c4f95d2ecb83f6ff8cce9bd358d162e
Licence: Apache-2.0