菜单
Query DailyMed for FDA drug label / package insert information. Use whenever the user asks about drug labeling, SPL documents, prescribing information, NDC codes, or needs to look up current FDA-approved drug details by name or NDC. Supports single entity or batch queries.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | dailymed-query |
| description | Query DailyMed for FDA drug label / package insert information. Use whenever the user asks about drug labeling, SPL documents, prescribing information, NDC codes, or needs to look up current FDA-approved drug details by name or NDC. Supports single entity or batch queries. |
Search DailyMed SPL labels by drug name or NDC code. No API key required.
| Input Type | Function | Returns |
|---|---|---|
| drug name (str) | search_drug_labels(name, limit) | list of label summaries |
| SPL set ID | get_label_detail(set_id) | dict (parsed from XML) |
| NDC code | get_ndc_info(ndc, limit) | list of label summaries (JSON) |
| str or list[str] | query(entities, limit) | concise text summary |
| list[str] | search_batch(entities, limit) | dict[entity → results] |
| Function | Input | Returns |
|---|---|---|
search_drug_labels(drug_name, limit=5) | drug name string | list[dict] with title, setid |
get_label_detail(set_id) | SPL set ID | dict (XML→dict, keys vary by label) |
get_ndc_info(ndc, limit=5) | NDC string | list[dict] with title, setid |
search_batch(entities, limit=3) | list of drug names | dict[str, list[dict]] |
summarize(results, entity) | results list + label | compact text |
query(entities, limit=3) | single str or list[str] | LLM-readable text block |
See if __name__ == "__main__" block in 06_DailyMed.py for runnable examples covering: single drug search, batch multi-drug search, label detail retrieval, and NDC lookup.
from importlib.machinery import SourceFileLoader
dm = SourceFileLoader("dm", "06_DailyMed.py").load_module()
# Single entity
print(dm.query("metformin"))
# Multiple entities
print(dm.query(["aspirin", "lisinopril", "atorvastatin"]))
# Full label detail
hits = dm.search_drug_labels("metformin", limit=1)
detail = dm.get_label_detail(hits[0]["setid"])
https://dailymed.nlm.nih.gov/dailymed/services/v2/spls.json) and NDC lookup (/spls.json?ndc=...) return JSON. Detail endpoint (/spls/{setid}.xml) is XML-only; parsed to dict automatically.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 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.
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.