med-pdf
med-pdf is a Health informatics & FHIR skill for AI agents, published by realactivity in the tula repository on GitHub. Skillspace rates med-pdf D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Reads medical PDFs (labs, radiology, MyChart/Epic exports, discharge summaries, pathology) and turns them into structured JSON Tula can reason over. Personal data is referenced from an external profile file, never embedded. USE FOR: the user sharing a health-related PDF, image, or screenshot, or asking to compare results across visits. DO NOT USE FOR: non-medical PDFs, generating new clinical reports, or sending PHI outside the workspace.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 41
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
- 88 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 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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