Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
admiral-adrs
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
admiral-adrs
Best first install candidate based on install readiness and adoption.
Freshest repo
admiral-adrs
Most recent maintenance signal among this shortlist.
| Signal | admiral-adrs Derives an ADaM Tumor Response Analysis Dataset (ADRS) using the {admiral} and {admiralonco} R packages. Use when a user needs to create ADRS from SDTM RS domain data, derive RECIST 1.1 response parameters (overall response, confirmed response, best overall response, clinical benefit), or generate QC-ready R code following CDISC ADaM and oncology conventions. Requires SDTM RS input data, ADSL with randomization and treatment dates, and an ADaM ADRS specification. |
|---|---|
| Quality | 67/100 Promising |
| Decision verdict | 66/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 103 stars Verified outcomes are shown on each skill page |
| Freshness | Sep 4, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Research agents workflows · Claude Code teams · builders willing to evaluate younger projects |
Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
admiral-adrs
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
admiral-adrs
Best first install candidate based on install readiness and adoption.
Freshest repo
admiral-adrs
Most recent maintenance signal among this shortlist.
| Signal | admiral-adrs Derives an ADaM Tumor Response Analysis Dataset (ADRS) using the {admiral} and {admiralonco} R packages. Use when a user needs to create ADRS from SDTM RS domain data, derive RECIST 1.1 response parameters (overall response, confirmed response, best overall response, clinical benefit), or generate QC-ready R code following CDISC ADaM and oncology conventions. Requires SDTM RS input data, ADSL with randomization and treatment dates, and an ADaM ADRS specification. |
|---|---|
| Quality | 67/100 Promising |
| Decision verdict | 66/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 103 stars Verified outcomes are shown on each skill page |
| Freshness | Sep 4, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Research agents workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add RConsortium/pharma-skills --skill admiral-adrs |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add RConsortium/pharma-skills --skill admiral-adrs |