trial-metadata-extractor
trial-metadata-extractor is a Medical documentation & coding skill for AI agents, published by Appsilon in the mediforce repository on GitHub. Skillspace rates trial-metadata-extractor C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Extract structured metadata from clinical trial Protocol and Statistical Analysis Plan (SAP) documents into a standardized JSON format. Use this skill whenever the user provides a Protocol, SAP, or both (as file paths or uploaded files) and wants to extract study design, endpoints, populations, visit schedules, analysis plans, or any structured trial metadata. Also trigger when the user mentions 'protocol review', 'SAP review', 'trial metadata', 'study design extraction', 'endpoint extraction', 'ADaM planning', 'TLG planning', or wants to prepare inputs for mock TLG shell generation. This skill is the first step in a Protocol->SAP->Metadata->TLG pipeline. Even if the user only provides one document (Protocol OR SAP), use this skill -- it handles partial inputs gracefully and flags what's missing.
- 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
- Scope
- Portable: works in any project. Generic clinical trial protocol/SAP metadata extraction methodology.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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