Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
clinical-variant-prioritizer
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
clinical-variant-prioritizer
Best first install candidate based on install readiness and adoption.
Freshest repo
clinical-variant-prioritizer
Most recent maintenance signal among this shortlist.
| Signal | clinical-variant-prioritizer Screen a genotype set (array or WGS-derived) against OMIM-morbid, ACMG-SF and Hereditary-Cancer gene panels and prioritise carried variants by ClinVar significance, gnomAD frequency, inheritance model and zygosity, following the pathogenicity-screening method of Corpas et al. 2021 (Whole Genome Interpretation for a Family of Five). |
|---|---|
| Quality | 78/100 Strong |
| Decision verdict | 89/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 1.1K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 4, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | The skill relies on a static curated panel that may become outdated; consider a mechanism to update it or document how to refresh it. · No OpenAgentSkill engagement data yet |
Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
clinical-variant-prioritizer
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
clinical-variant-prioritizer
Best first install candidate based on install readiness and adoption.
Freshest repo
clinical-variant-prioritizer
Most recent maintenance signal among this shortlist.
| Signal | clinical-variant-prioritizer Screen a genotype set (array or WGS-derived) against OMIM-morbid, ACMG-SF and Hereditary-Cancer gene panels and prioritise carried variants by ClinVar significance, gnomAD frequency, inheritance model and zygosity, following the pathogenicity-screening method of Corpas et al. 2021 (Whole Genome Interpretation for a Family of Five). |
|---|---|
| Quality | 78/100 Strong |
| Decision verdict | 89/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 1.1K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 4, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | The skill relies on a static curated panel that may become outdated; consider a mechanism to update it or document how to refresh it. · No OpenAgentSkill engagement data yet |
| Best for | Research agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add ClawBio/ClawBio --skill clinical-variant-prioritizer |
| Best for | Research agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add ClawBio/ClawBio --skill clinical-variant-prioritizer |