Awesome-omni-skill med-info
Label-backed medication answers with citations and traceable IDs. RxCUI/NDC/set_id, key label sections, optional recalls/shortages/FAERS/interactions.
install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/devops/med-info" ~/.claude/skills/diegosouzapw-awesome-omni-skill-med-info && rm -rf "$T"
manifest:
skills/devops/med-info/SKILL.mdsource content
med-info
Medication answers you can cite.
med-info turns a drug name (or RxCUI, NDC, SPL set_id) into a label-backed summary with traceable identifiers and source links.
Use it when you want “show your work” medication information for notes, training, QA, internal docs, or agent workflows.
Not medical advice.
What you get
- Authoritative sources first: FDA labeling via openFDA + DailyMed, identifiers via RxNorm/RxClass.
- Citations + traceability: RxCUI, NDC (product/package), SPL set_id, effective dates, and URLs.
- The sections you actually need: boxed warning, indications, dosing, contraindications, warnings, interactions, adverse reactions.
- Optional safety context (opt-in flags): recalls, shortages, FAERS aggregates, interactions, drug class, hazardous drug flag, REMS linkouts, Orange Book, Purple Book.
- Automation friendly:
output for pipelines.--json
Privacy
Do not include PHI. Query by drug name or identifiers only.
Quickstart
cd {baseDir} python3 scripts/med_info.py "Eliquis" --brief
Common workflows:
# Only the sections you care about python3 scripts/med_info.py "Eliquis" --sections contraindications,drug_interactions --brief # Find keyword hits in label text (fast way to answer "does the label mention X?") python3 scripts/med_info.py "Eliquis" --find ritonavir --find CYP3A4 --find P-gp --find-max 8 # Deterministic lookups by identifier (best for reproducibility) python3 scripts/med_info.py "70518-4370-0" # NDC (package) python3 scripts/med_info.py "70518-4370" # NDC (product) python3 scripts/med_info.py "05999192-ebc6-4198-bd1e-f46abbfb4f8a" # SPL set_id
Disambiguation (when there are multiple labels)
python3 scripts/med_info.py "metformin" --candidates python3 scripts/med_info.py "metformin" --candidates --pick 2 --brief python3 scripts/med_info.py "metformin" --set-id "05999192-ebc6-4198-bd1e-f46abbfb4f8a"
Optional add-ons
# Pharmacist-friendly output bundle python3 scripts/med_info.py "Eliquis" --pharmacist --brief # Safety signals and operational context (opt-in) python3 scripts/med_info.py "metformin" --recalls --brief python3 scripts/med_info.py "amphetamine" --shortages --brief python3 scripts/med_info.py "Eliquis" --faers --faers-max 10 python3 scripts/med_info.py "Eliquis" --interactions --interactions-max 20 python3 scripts/med_info.py "Eliquis" --rxclass python3 scripts/med_info.py "cyclophosphamide" --hazardous python3 scripts/med_info.py "isotretinoin" --rems # Reference datasets python3 scripts/med_info.py "adalimumab" --purplebook python3 scripts/med_info.py "metformin" --orangebook # Chemistry (best-effort) python3 scripts/med_info.py "ibuprofen" --chem
Output shaping
python3 scripts/med_info.py "ibuprofen" --json python3 scripts/med_info.py "Eliquis" --brief --sections all python3 scripts/med_info.py "Eliquis" --print-url --brief # prints queried URLs (api_key redacted)
Sources (high level)
- openFDA: drug labels, NDC directory, recalls/enforcement, shortages, FAERS
- RxNorm / RxClass (RxNav): normalization and drug classes
- DailyMed: SPL label history and media
- MedlinePlus Connect: patient-friendly summaries (links)
- Orange Book and Purple Book: best-effort context
Safety notes
- For clinical decisions, verify against the full official label.
- Input is treated as untrusted, openFDA
strings are escaped to prevent query injection.search
Keys and rate limits
Works without any keys. Optionally:
: increases openFDA rate limits for heavy usage.OPENFDA_API_KEY