Reference tools for underused healthcare data.
trove builds open-source lookup tools, parsers, and Claude skills on top of public-domain healthcare datasets that are widely cited but rarely usable in their raw form. Each area is search-first — type a name or identifier, see a single record at a time. The full data, parsers, and skills are MIT-licensed at github.com/cbetz/trove.
FDA drug approvals
Look up any FDA novel drug approval from 2021–2024 and find the approval package — sponsor, application number, key dates, the FDA-approved label, and a deep link to every document FDA released for that approval (medical review, statistical review, pharmacology review, chemistry review).
v1.1Hospital reporting
Look up related CMS Worksheet S-10 and IRS Form 990 Schedule H charity-care reporting fields for 1,295 nonprofit U.S. hospital systems, side-by-side, with filing-period context and a home-county Social Vulnerability Index proxy.
More areas coming. Suggestions welcome.
Each area ships with a Claude Code skill that translates natural-language questions into queries over the area's published data. The skills are bundled as a single Claude Code plugin:
/plugin marketplace add cbetz/trove
/plugin install trove@troveSkill details and example prompts:
Public-domain healthcare data is famously messy. CMS publishes 100,000+ row long-skinny CSVs; the IRS publishes 990s as XML in bulk ZIPs; the FDA scatters approval reviews across hundreds of PDF directories. trove's job is to do the parsing, joining, and packaging so the data is browsable and queryable rather than something only people with a Python environment and free time can use.
Each area is also a Claude skill — meaning you can install it, ask questions in natural language, and get answers grounded in the actual underlying data rather than what an LLM half-remembers from training.
Plain-language explainers for the datasets: