Skill audit report
Derives an ADaM Subject-Level Analysis Dataset (ADSL) using the {admiral} R package and pharmaverse ecosystem. Use when a user needs to create ADSL from SDTM domains, derive standard subject-level variables (treatment dates, disposition, demographics, population flags), or generate QC-ready R code following CDISC ADaM conventions. Requires SDTM input data and an ADaM spec.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
104 GitHub stars
Stars/forks activity
WARN57
104 stars, 23 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
10d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add RConsortium/pharma-skills --skill admiral-adsl
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/RConsortium/pharma-skills/tree/main/admiral/admiral-adsl
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add RConsortium/pharma-skills --skill admiral-adsl
Repository
88
https://github.com/RConsortium/pharma-skills/tree/main/admiral/admiral-adsl
License
86
MIT
Maintenance
100
10d since push
AI review
55
The SKILL.md excerpt in the prompt is truncated, but the full file appears complete and well-structured.
README/SKILL.md completeness
86
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
57
104 stars, 23 forks; issue activity unavailable in current metadata
Adoption
68
104 GitHub stars
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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