Medical Data ApiSAFE
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Overview
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
e1ba289846fdOBSERVED · 2026-10-08Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| openclaw | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: medical-data-api
description: "Access FDA drug data and WHO global health statistics for research"
metadata:
openclaw:
emoji: "💊"
category: "domains"
subcategory: "biomedical"
keywords: ["FDA", "drug safety", "WHO", "global health", "adverse events", "medical data", "pharmacovigilance"]
source: "https://open.fda.gov"
---
# 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**:
| Parameter | Type | Required | Description |
|-----------|--------|----------|-----------------------------------------------------|
| search | string | No | Search query using openFDA query syntax |
| limit | int | No | Number of results (default 1, max 1000) |
| skip | int | No | Offset for pagination |
| count | string | No | Count 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**:
| Parameter | Type | Required | Description |
|-----------|--------|----------|-----------------------------------------------------|
| search | string | No | Query (e.g., `patient.drug.openfda.brand_name:"aspirin"`) |
| limit | int | No | Number of results (default 1, max 1000) |
| skip | int | No | Offset for pagination (max skip+limit = 26,000) |
| count | string | No | Count 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):
| Parameter | Type | Required | Description |
|-----------|--------|----------|-------------------------------------------------------|
| $top | int | No | Limit number of records returned |
| $skip | int | No | Skip records for pagination |
| $filter | string | No | OData filter (e.g., `SpatialDim eq 'USA' and TimeDim eq 2020`) |
| $select | string | No | Select specific fields |
| $orderby | string | No | Sort 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.
### 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 Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
e1ba289846fdfull audit observations/trust-audit/skill/brycewang-stanford__medical-data-api.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | e1ba289846fd | SAFE | B | 89 | first audit |
Questions
What does the Medical Data Api skill do?
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Is Medical Data Api safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Medical Data Api access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Medical Data Api work with?
Its documentation mentions openclaw. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (e1ba289846fd), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.