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Skill evidence / tooluniverse-variant-interpretation
Skill profile

tooluniverse-variant-interpretation

Clinical variant interpretation from raw variant calls to ACMG-classified recommendations with...

What this skill does for you

Clinical variant interpretation from raw variant calls to ACMG-classified recommendations with structural impact analysis. Use for VUS classification, pathogenicity assessment with cited criteria, structure-based variant impact (AlphaFold/PDB), non-coding/regulatory variant effect prediction with sequence deep-learning models (AlphaGenome, Enformer, Borzoi, ChromBPNet, Evo 2), and producing clinical-grade variant reports for return of results or molecular tumor boards. Use this whenever a user asks about a variant's significance, an intronic/promoter/enhancer/UTR non-coding variant's functional impact, or needs ACMG classification : even if they don't say "ACMG".

Quoted from the skill description in the pinned source

Who made it

Publishermims-harvard
Repositorytooluniverse
Installs341as 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-variant-interpretation 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.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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:bc1c268324d060631c334680860dfcc76c931a2c4e60df6221728d527f75d50a
Licence
Apache-2.0