sdtm-to-adam
sdtm-to-adam is a Health informatics & FHIR skill for AI agents, published by Appsilon in the mediforce repository on GitHub. Skillspace rates sdtm-to-adam C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Generate ADaM datasets from SDTM data using {admiral} R code, driven by mock TLG shells. Use this skill whenever the user has SDTM datasets and mock TLG shells (output from mock-tlg-generator) and wants to create ADaM datasets. Also trigger when the user mentions 'ADaM derivation', 'ADaM generation', 'SDTM to ADaM', 'admiral code', 'ADaM programming', 'ADaM spec', 'create ADaM datasets', 'generate ADaM', or wants to derive analysis datasets from SDTM. This skill is the third step in a Protocol->SAP->Metadata->TLG->ADaM pipeline. It requires mock TLG shells as primary input and SDTM datasets as data input.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 32
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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