// Query or inspect the FDA Orange Book - FDA-Approved Drug Products Listing resource for drug-centric tasks with emphasis on drug knowledgebase Use whenever Codex needs the calling pattern, downloadable entrypoint, or example query flow from this skill example script.
| name | fda-orange-book-query |
| description | Query or inspect the FDA Orange Book - FDA-Approved Drug Products Listing resource for drug-centric tasks with emphasis on drug knowledgebase Use whenever Codex needs the calling pattern, downloadable entrypoint, or example query flow from this skill example script. |
Use this file as the compact operator guide for the paired skillexamples script.
Prefer reading the Python example itself for exact request parameters, field names,
and response handling.
65_FDA_Orange_Book.pyDrug-centricDBDrug Knowledgebase| Function | Purpose |
|---|---|
download_orange_book() | See 65_FDA_Orange_Book.py for exact input/output behavior. |
search_approved_drugs() | See 65_FDA_Orange_Book.py for exact input/output behavior. |
get_drug_approval_info() | See 65_FDA_Orange_Book.py for exact input/output behavior. |
preview_products_file() | See 65_FDA_Orange_Book.py for exact input/output behavior. |
Read 65_FDA_Orange_Book.py and copy its call pattern when writing Code Agent query code.
Keep network timeouts short and preserve the script's native access method
(REST, direct download, local file scan, or HTML scraping).
maintainers/smoke/65_FDA_Orange_Book_smoke_test.pypython maintainers/smoke/65_FDA_Orange_Book_smoke_test.pyif __name__ == "__main__" in 65_FDA_Orange_Book.py first when generating runnable query code.Query the DrugComb drug combination database for cancer cell-line synergy and sensitivity data. Use whenever the user asks about drug combinations, synergy scores (ZIP/Bliss/Loewe/HSA), combination sensitivity (CSS), or wants to look up how two drugs interact in a specific cancer cell line.
Query canonical DrugCombDB combination records. Use when the user asks about drug pairs, synergy values, or cell-line-specific combination evidence.
Query the RepurposeDrugs single-agent drug repurposing database. Use whenever the user asks about drug-disease repurposing associations, clinical trial phases for repurposed drugs, or wants to look up any entity (drug name, disease name, NCT ID) in RepurposeDrugs.
Query the Gene-Drug Knowledge Database (GDKD) for variant-specific gene–drug associations in oncology. Use when the user asks about cancer genomic biomarkers, drug sensitivity/resistance by gene or variant, targetable mutations, or clinical evidence for cancer therapeutics.
Query canonical TarKG drug-target triplets. Use when the user asks about drug-target interactions, relation labels, disease/pathway context, or quick lookups for drugs/targets in TarKG.
Query the MecDDI mechanism-based drug-drug interaction database. Use whenever the user asks about drug-drug interactions, DDI mechanisms (PK/PD), enzyme or transporter-mediated interactions, or wants to look up interacting drug pairs by drug name or MecDDI drug ID. Trigger on keywords like DDI, drug interaction, MecDDI, mechanism-based interaction, pharmacokinetic interaction, pharmacodynamic interaction, or any query involving two drugs that may interact.