adam-to-tlg
adam-to-tlg is a Scientific data analysis & plotting skill for AI agents, published by Appsilon in the mediforce repository on GitHub. Skillspace rates adam-to-tlg C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Generate production-quality Tables, Listings, and Figures (TLGs) from ADaM datasets using R code with gtsummary, gt, and ggplot2, guided by mock TLG shells. Use this skill whenever the user has ADaM datasets and mock TLG shells and wants to produce the actual TLG outputs. Also trigger when the user mentions 'generate TLGs', 'create tables from ADaM', 'produce clinical study report outputs', 'TLG programming', 'table programming', 'figure programming', or wants to implement the statistical analyses defined in mock shells. This skill is the fourth step in a Protocol->SAP->Metadata->TLG Shells->ADaM->TLG pipeline.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 32
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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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