Agent skill

Medical Data API

by wentorai in wentorai/research-plugins

Access FDA drug data and WHO global health statistics for research

MITAuto-check passedData & Analytics

Install Medical Data API

skills CLI
$ npx skills add wentorai/research-plugins --skill medical-data-api -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wentorai/research-plugins medical-data-api --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/domains/biomedical/medical-data-api .claude/skills/medical-data-api && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
medical-data-api
GitHub stars
298
Used in
1 other repo
Token cost
~2.2k tokens
SKILL.md length
704 words
Files
1
Skills in repo
405
Repo updated
First seen
Licence
MIT

At a glance

Access FDA drug data and WHO global health statistics for research

  • Tasks that involve Statistics
  • SKILL.md covers Overview, Authentication, Core Endpoints and Rate Limits, plus 3 more sections
  • Calls curl; reaches ghoapi.azureedge.net and api.fda.gov

What it does

Medical Data API is an agent skill from wentorai/research-plugins. Access FDA drug data and WHO global health statistics for research

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics, covering Statistics. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.

When your agent uses it

  • Tasks that involve Statistics

Example prompts

  • “/medical-data-api”

Requirements

  • Python 3
  • A credential in YOUR_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • ghoapi.azureedge.net
    • api.fda.gov

    Also links to:

    • open.fda.gov
    • who.int
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Medical Data API loads about 2.2k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 704 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 704 words, ~2,217 tokens.

Download SKILL.mdSave it as .claude/skills/medical-data-api/SKILL.md (or your agent's skills folder).
name
medical-data-api
description
Access FDA drug data and WHO global health statistics for research

Medical Data API Guide (openFDA + WHO GHO)

Overview

This skill covers two major open medical data APIs for academic research:

openFDA is the U.S. Food and Drug Administration's public API providing access to drug labeling (SPL), adverse event reports (FAERS), recalls, and NDC directory. The FAERS dataset contains over 722,000 reports for common drugs like aspirin, making it a primary pharmacovigilance resource.

WHO Global Health Observatory (GHO) is the WHO's OData v4 API serving over 2,000 health indicators across 194 member states -- life expectancy, mortality, disease burden, health system coverage, risk factors, and SDG targets. Returns structured JSON with numeric values, confidence intervals, and dimensional breakdowns by country, sex, and year.

Both APIs are free, require no authentication, and return JSON.

Authentication

openFDA: No authentication required. An optional API key (free, via https://open.fda.gov/apis/authentication/) increases rate limits from 240/min to 120,000/day. Register at https://open.fda.gov/apis/ to obtain a key, then append &api_key=YOUR_KEY to requests.

WHO GHO: No authentication required. No API key needed. All endpoints are publicly accessible with no registration.

Core Endpoints

openFDA: Drug Labels

Search FDA-approved drug labeling data (Structured Product Labeling). Returns boxed warnings, indications, dosage, contraindications, and adverse reactions text.

  • URL: GET https://api.fda.gov/drug/label.json
  • Parameters:
ParameterTypeRequiredDescription
searchstringNoSearch query using openFDA query syntax
limitintNoNumber of results (default 1, max 1000)
skipintNoOffset for pagination
countstringNoCount unique values of a field
  • Example:
bash
curl "https://api.fda.gov/drug/label.json?search=aspirin&limit=1"
  • Response: Returns meta.results.total (26,564 for "aspirin") and results array. Each result contains boxed_warning, indications_and_usage, dosage_and_administration, warnings, adverse_reactions, drug_interactions, and openfda cross-references (brand/generic names, manufacturer, NDC, pharmacologic class).
openFDA: Adverse Events (FAERS)

Search the FDA Adverse Event Reporting System. Each record describes a safety report including patient demographics, suspect drugs, reported reactions, and outcomes.

  • URL: GET https://api.fda.gov/drug/event.json
  • Parameters:
ParameterTypeRequiredDescription
searchstringNoQuery (e.g., patient.drug.openfda.brand_name:"aspirin")
limitintNoNumber of results (default 1, max 1000)
skipintNoOffset for pagination (max skip+limit = 26,000)
countstringNoCount field values (e.g., patient.reaction.reactionmeddrapt.exact)
  • Example:
bash
curl 'https://api.fda.gov/drug/event.json?search=patient.drug.openfda.brand_name:"aspirin"&limit=1'
  • Response: Returns meta.results.total (722,607 for aspirin). Each result: safetyreportid, serious (1=yes, 2=no), primarysourcecountry, receivedate, nested patient with patientsex, reaction array (MedDRA terms + reactionoutcome), and drug array with drugcharacterization (1=suspect, 2=concomitant, 3=interacting), medicinalproduct, openfda cross-references.
WHO GHO: Health Indicator Data

Retrieve data points for a specific health indicator with country, year, and sex dimensions.

  • URL: GET https://ghoapi.azureedge.net/api/{IndicatorCode}
  • Parameters (OData v4 query options):
ParameterTypeRequiredDescription
$topintNoLimit number of records returned
$skipintNoSkip records for pagination
$filterstringNoOData filter (e.g., SpatialDim eq 'USA' and TimeDim eq 2020)
$selectstringNoSelect specific fields
$orderbystringNoSort results
  • Example:
bash
# Life expectancy at birth (WHOSIS_000001)
curl "https://ghoapi.azureedge.net/api/WHOSIS_000001?\$top=2"
  • Response: OData JSON with value array. Each record: SpatialDim (ISO country, e.g., "BTN"), ParentLocation (WHO region), TimeDim (year), Dim1 (sex: "SEX_BTSX"/"SEX_MLE"/"SEX_FMLE"), Value ("67.8 [67.1-68.6]"), NumericValue (67.845665), Low/High confidence bounds.
Show full SKILL.md (240 more words)Show less
WHO GHO: Indicator Directory

List available health indicators with their codes and names.

  • URL: GET https://ghoapi.azureedge.net/api/Indicator
  • Example:
bash
curl "https://ghoapi.azureedge.net/api/Indicator?\$top=5"
  • Response: Array of entries with IndicatorCode (e.g., "Adult_curr_e-cig"), IndicatorName (e.g., "Prevalence of current e-cigarette use among adults (%)"), Language ("EN"). Over 2,000 indicators spanning mortality, morbidity, health systems, and risk factors.

Rate Limits

openFDA:

  • Without API key: 240 requests per minute (burst), 1,000 requests per day
  • With free API key: 240 requests per minute, 120,000 requests per day
  • Pagination ceiling: skip + limit cannot exceed 26,000 (use search + sort for deeper access)

WHO GHO:

  • No documented rate limits; the service runs on Azure CDN (azureedge.net)
  • Recommended: keep requests under 10/second for courtesy
  • For bulk downloads, use the GHO data portal CSV exports at https://www.who.int/data/gho

Academic Use Cases

Pharmacovigilance: Adverse Event Signal Detection

Count reactions by MedDRA term to identify safety signals:

python
import requests

resp = requests.get("https://api.fda.gov/drug/event.json", params={
    "search": 'patient.drug.openfda.brand_name:"aspirin"',
    "count": "patient.reaction.reactionmeddrapt.exact",
    "limit": 10
})
for r in resp.json()["results"]:
    print(f"  {r['term']}: {r['count']} reports")
Epidemiology: Cross-National Health Comparisons

Compare health indicators across countries and time periods:

python
import requests

resp = requests.get("https://ghoapi.azureedge.net/api/WHOSIS_000001", params={
    "$filter": "SpatialDim eq 'JPN' and Dim1 eq 'SEX_BTSX'",
    "$orderby": "TimeDim desc",
    "$top": 10
})
for row in resp.json()["value"]:
    print(f"  Japan {row['TimeDim']}: {row['Value']}")
Public Health: Drug Label Comparison

Compare safety language across drug labels for regulatory research:

python
import requests

for drug in ["ibuprofen", "naproxen", "celecoxib"]:
    resp = requests.get("https://api.fda.gov/drug/label.json",
        params={"search": f'openfda.generic_name:"{drug}"', "limit": 1})
    results = resp.json().get("results", [])
    if results:
        warning = results[0].get("boxed_warning", ["None"])[0][:200]
        print(f"{drug.upper()}: {warning}...\n")

Key Indicator Codes (WHO GHO)

CodeIndicator
WHOSIS_000001Life expectancy at birth
NCDMORT3070NCD mortality (30-70 years)
MDG_0000000001Under-five mortality rate
WHS4_100Physicians per 10,000 population
NCD_BMI_30APrevalence of obesity (BMI >= 30)
SA_0000001688Alcohol per capita consumption
TOBACCO_0000000262Tobacco smoking prevalence

References

© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/domains/biomedical/medical-data-api of wentorai/research-plugins.

Open the folder on GitHubat commit bf44b3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Medical Data API next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Medical Data API compared with similar skills
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Medical Data API this skillwentorai/research-plugins2981 repos~2.2kAutomated safety check: PassMIT
Add Parseraropan/clist439—~812Automated safety check: PassApache-2.0
Analyzing API Gateway Access Logsmukul975/Anthropic-Cybersecurity-Skills34k—~581Automated safety check: PassApache-2.0
Sandbox Benchvercel/next.js143k—~4.1kAutomated safety check: PassMIT
Statistical Analysisspacering-net/codeg3.9k3 repos~5kAutomated safety check: PassMIT
StatsmodelszLanqing/codex-claude-academic-skills4.7k15 repos~4.9kAutomated safety check: PassBSD-3-Clause

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Questions about Medical Data API

What does Medical Data API do?

Access FDA drug data and WHO global health statistics for research. Medical Data API is an agent skill from wentorai/research-plugins.

When should I use Medical Data API?

Medical Data API fits situations like: tasks that involve Statistics.

How do I install Medical Data API in Claude Code?

Run `npx skills add wentorai/research-plugins --skill medical-data-api -a claude-code`. Or copy the skill folder (skills/domains/biomedical/medical-data-api in wentorai/research-plugins) into .claude/skills/medical-data-api in your project. Claude Code loads it when a task matches its description.

How do I install Medical Data API in Codex?

Run `npx skills add wentorai/research-plugins --skill medical-data-api -a codex`. Or copy the skill folder (skills/domains/biomedical/medical-data-api in wentorai/research-plugins) into .agents/skills/medical-data-api in your project. Codex loads it when a task matches its description.

Can I use Medical Data API in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill medical-data-api -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/medical-data-api, .gemini/skills/medical-data-api, .github/skills/medical-data-api and .opencode/skills/medical-data-api in your project.

What does Medical Data API need to run?

Going by SKILL.md and its folder, Medical Data API needs the command-line tools its instructions call (curl). Our summary lists: Python 3; A credential in YOUR_KEY.

Does Medical Data API access the network?

SKILL.md names 5 domains. In commands or code: ghoapi.azureedge.net and api.fda.gov; the agent is likely to contact these when it follows the instructions. As links in the text: open.fda.gov, who.int and github.com. This is read from the text; nothing was executed.

Is Medical Data API safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Medical Data API use?

Medical Data API is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Medical Data API use?

About 2.2k tokens (SKILL.md is roughly 8.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Medical Data API?

Skills that share tags, products or a category with Medical Data API: Add Parser (aropan/clist, 439 stars), Analyzing API Gateway Access Logs (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Sandbox Bench (vercel/next.js, 143k stars) and Statistical Analysis (spacering-net/codeg, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Medical Data API?

wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.

Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.