Agent skill · Data & Analytics

druglib-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.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill drugs_com_reviews --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 2 KB
Bundled scripts: yes
Path: skills/drugclaw/drugs_com_reviews/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 Pattern | Detected As | Match Logic | |---|---|---| | single/two-word term (e.g. `lamictal`) | drug name | substring on `urlDrugName` | | multi-word or medical keyword (e.g. `bipolar disorder`) | condition | substring 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 | Function | Input | Returns | |---|---|---| | `load_reviews()` | — | list[dict] (cached) | | `search(entity)` | single entity string | list[dict] | | `search_batch(entities)` | list of entity strings | dict[str, list[dict]] | | `summarize(hits, entity)` | list[dict] + label | compact 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 - **Sourc

What's inside
Steps it walks through
  1. API
  2. Usage
  3. Data
Ships with 5 files
  • README.md
  • __init__.py
  • drugs_com_reviews_skill.py
  • example.py
  • retrieve.py
More from awesome-bio-agent-skills
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About this skill
What does the druglib-reviews skill do?

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.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill drugs_com_reviews --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going