Agent skill · Data & Analytics

webmd-drug-reviews

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.

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

# 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**

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

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.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill webmd --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