Agent skill

medlineplus-drug-info

Query MedlinePlus for consumer-oriented drug and health-topic information. Accepts drug names, RxCUI codes, NDC codes, or ICD-10-CM diagnosis codes. Uses two free, keyless NLM APIs: the Web Service (keyword search) and MedlinePlus Connect (code-based lookup).

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

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

Facts
Files in the skill folder: 6
SKILL.md size: 3 KB
Bundled scripts: yes
Path: skills/drugclaw/medlineplus/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

# MedlinePlus Drug Info Skill Search MedlinePlus drug / health-topic pages. Auto-detects input type: | Input Pattern | Detected As | Example | Endpoint Used | |---|---|---|---| | `0069-3060-30` | NDC code | NDC → drug page | Connect (NDC) | | `637188` (5-7 digits) | RxCUI | RxNorm concept | Connect (RxCUI) | | `E11.9`, `J45.20` | ICD-10-CM | Diagnosis code → topic | Connect (ICD-10) | | anything else | free text | `metformin`, `aspirin` | Connect (name) + wsearch | Both APIs are free, require no API key, and are rate-limited to 85 req/min. ## API | Function | Input | Returns | |---|---|---| | `search(query, max_results=10)` | single entity string | `dict` with `connect_results`, `wsearch_results` | | `search_batch(queries, max_results=10)` | list of entity strings | `dict[str, dict]` | | `summarize(result)` | one `search()` result dict | compact text for LLM | | `to_json(result)` | one `search()` result dict | `list[dict]` flat records | ### Result dict structure ```python { "query": "metformin", "input_type": "text", # ndc | rxcui | icd10 | text "connect_results": [ # from MedlinePlus Connect {"title": "...", "url": "...", "summary": "...", "source": "..."}, ], "wsearch_results":

What's inside
Steps it walks through
  1. API
  2. Result dict structure
  3. Usage
  4. Key Fields
  5. Data Source
Ships with 5 files
  • README.md
  • __init__.py
  • example.py
  • medlineplus_skill.py
  • retrieve.py
More from awesome-bio-agent-skills
All skills →
About this skill
What does the medlineplus-drug-info skill do?

Query MedlinePlus for consumer-oriented drug and health-topic information. Accepts drug names, RxCUI codes, NDC codes, or ICD-10-CM diagnosis codes. Uses two free, keyless NLM APIs: the Web Service (keyword search) and MedlinePlus Connect (code-based lookup).

How do I install it?

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