菜单
Query the RepoDB drug repurposing database. Use whenever the user asks about drug-disease associations, drug repurposing candidates, or wants to look up any entity (drug name, indication, DrugBank ID, UMLS CUI, NCT ID) in RepoDB.
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
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.
| name | repodb-query |
| description | Query the RepoDB drug repurposing database. Use whenever the user asks about drug-disease associations, drug repurposing candidates, or wants to look up any entity (drug name, indication, DrugBank ID, UMLS CUI, NCT ID) in RepoDB. |
Search RepoDB records by any entity. Auto-detects type by prefix:
| Input Pattern | Detected As | Match Logic |
|---|---|---|
DB00584 | DrugBank ID | exact on drugbank_id |
C0020538 | UMLS CUI | exact on ind_id |
NCT00001234 | Trial ID | exact on NCT |
| anything else | free text | substring on drug_name OR ind_name |
| Function | Input | Returns |
|---|---|---|
load_repodb(path) | CSV path | DataFrame |
search(df, entity) | single entity string | DataFrame |
search_batch(df, entities) | list of entity strings | dict[str, DataFrame] |
summarize(hits, entity) | DataFrame + label | compact text |
to_json(hits) | DataFrame | list[dict] |
See if __name__ == "__main__" block in repodb_query.py for runnable examples covering: drug name, DrugBank ID, UMLS CUI, indication name, batch search, and JSON output.
full.csv (comma or tab separated, auto-detected)drug_name, drugbank_id, ind_name, ind_id, NCT, status, phase, DetailedStatusDATA_PATH variable in repodb_query.py