菜单
Query the WebMD Drug Reviews dataset (~362 k patient reviews, 2007–2020). Use whenever the user asks about patient-reported drug effectiveness, ease of use, satisfaction ratings, side effects, or reviews for a specific drug or medical condition.
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 | webmd-drug-reviews |
| description | Query the WebMD Drug Reviews dataset (~362 k patient reviews, 2007–2020). Use whenever the user asks about patient-reported drug effectiveness, ease of use, satisfaction ratings, side effects, or reviews for a specific drug or medical condition. |
Search patient reviews by drug name or medical condition. Auto-fallback: if no drug matches, searches conditions.
| Input Example | Match Logic |
|---|---|
Lipitor | substring on Drug column |
High Blood Pressure | substring on Condition column |
| any text | try Drug first → fall back to Condition |
| Function | Input | Returns |
|---|---|---|
load_reviews(path) | CSV path (default DATA_PATH) | list[dict] |
search(rows, entity) | single entity string | list[dict] |
search_by_drug(rows, drug) | drug name string | list[dict] |
search_by_condition(rows, cond) | condition string | list[dict] |
search_batch(rows, entities) | list of entity strings | dict[str, list[dict]] |
summarize(hits, entity) | matched rows + label | compact text (counts, avg ratings, top conditions/drugs) |
to_json(hits) | matched rows | list[dict] |
See if __name__ == "__main__" block in 10_WebMD_Drug_Reviews.py for runnable examples covering: single drug lookup, single condition lookup, batch search, and JSON output.
webmd.csv (Kaggle – rohanharode07/webmd-drug-reviews-dataset)Drug, Condition, Reviews, Side, Age, Sex, Effectiveness, EaseofUse, SatisfactionDATA_PATH variable in 10_WebMD_Drug_Reviews.py
(resources_metadata/drug_review/WebMDDrugReviews/webmd.csv)