medical-data-tools
medical-data-tools is a Health informatics & FHIR skill for AI agents, published by DrugClaw in the DrugClaw repository on GitHub. Skillspace rates medical-data-tools C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Medical data workflow guide for DICOM metadata inspection and basic de-identification, physiological signal analysis with NeuroKit2, and cohort-table profiling for clinical research datasets. Use when the user asks to inspect imaging metadata, summarize ECG/PPG/EDA/RSP/EMG signals, or profile tabular medical datasets without making patient-specific diagnoses or treatment decisions.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 126
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
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General DICOM and biosignal analysis with public libraries
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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