Webmd
Skill BioTender-max/awesome-bio-agent-skills/skills/drugclaw/webmd
A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.
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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.
SKILL.md
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WebMD Drug Reviews Query Skill
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 |
API
| 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] |
Usage
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.
Data
- Source:
webmd.csv(Kaggle – rohanharode07/webmd-drug-reviews-dataset) - Columns:
Drug,Condition,Reviews,Side,Age,Sex,Effectiveness,EaseofUse,Satisfaction - Ratings: 1-5 star scale for Effectiveness, EaseofUse, Satisfaction
- Path:
DATA_PATHvariable in10_WebMD_Drug_Reviews.py(resources_metadata/drug_review/WebMDDrugReviews/webmd.csv)