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Drugs com reviews

Skill BioTender-max/awesome-bio-agent-skills/skills/drugclaw/drugs_com_reviews

Query the DrugLib.com Drug Review Dataset (UCI #461). Use whenever the user asks about patient drug reviews, drug effectiveness ratings, side-effect profiles, or condition-specific treatment experiences from DrugLib.com.From its SKILL.md

Install
npx -y skills add BioTender-max/awesome-bio-agent-skills --skill drugs_com_reviews

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

2.4 KB, 603 tokens by cl100k_base, as published. Nobody here has run it

DrugLib Reviews Query Skill

Search patient drug reviews by drug name or medical condition. Auto-detects entity type and routes to the appropriate field.

Input PatternDetected AsMatch Logic
single/two-word term (e.g. lamictal)drug namesubstring on urlDrugName
multi-word or medical keyword (e.g. bipolar disorder)conditionsubstring on condition

Condition keywords that trigger condition routing: disease, disorder, syndrome, infection, pain, cancer, diabetes, hypertension, depression, anxiety, asthma, arthritis, migraine, allergy, insomnia, nausea, obesity, acne, gerd, copd.

API

FunctionInputReturns
load_reviews()—list[dict] (cached)
search(entity)single entity stringlist[dict]
search_batch(entities)list of entity stringsdict[str, list[dict]]
summarize(hits, entity)list[dict] + labelcompact LLM-readable text
to_json(hits)list[dict]list[dict] (JSON-serialisable)

Usage

See if __name__ == "__main__" block in 16_DRUGLIB_REVIEWS.py for runnable examples covering: drug name search, condition search, batch search, and JSON output.

Data

  • Source: Drug Review Dataset (Druglib.com), UCI ML Repository #461
  • Citation: Kallumadi, S. & Gräßer, F. (2018). Drug Reviews (Druglib.com) [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C55G6J
  • License: CC BY 4.0
  • Files: drugLibTrain_raw.tsv, drugLibTest_raw.tsv (TSV, merged at load)
  • Path: DATA_DIR variable in 16_DRUGLIB_REVIEWS.py
  • Columns:
ColumnTypeDescription
urlDrugNamestrDrug name (lowercase, URL-style)
ratingint 0–9Overall patient satisfaction
effectivenessstrHighly / Considerably / Moderately / Marginally Effective, Ineffective
sideEffectsstrNo / Mild / Moderate / Severe / Extremely Severe Side Effects
conditionstrMedical condition being treated
benefitsReviewstrFree-text review of benefits
sideEffectsReviewstrFree-text review of side effects
commentsReviewstrFree-text general comments

What ships with it: 5 files

13.8 KB alongside SKILL.md, 4 of them executable

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