openevidence-hello-world
Create a minimal working OpenEvidence example. Trigger: "openevidence hello world", "openevidence example", "test openevidence".
Best use case
openevidence-hello-world is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Create a minimal working OpenEvidence example. Trigger: "openevidence hello world", "openevidence example", "test openevidence".
Teams using openevidence-hello-world should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/openevidence-hello-world/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How openevidence-hello-world Compares
| Feature / Agent | openevidence-hello-world | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Create a minimal working OpenEvidence example. Trigger: "openevidence hello world", "openevidence example", "test openevidence".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# OpenEvidence Hello World
## Overview
Minimal working examples demonstrating core OpenEvidence API functionality.
## Instructions
### Step 1: Clinical Query
```typescript
const result = await client.query({
question: 'What is the recommended treatment for acute migraine in adults?',
context: 'emergency_department',
evidence_level: 'high', // Filter by evidence quality
max_citations: 10
});
console.log('Answer:', result.answer);
console.log('Confidence:', result.confidence);
result.citations.forEach(c =>
console.log(` [${c.journal}] ${c.title} (${c.year}) — ${c.evidence_level}`)
);
```
### Step 2: Drug Interaction Check
```typescript
const interactions = await client.interactions.check({
medications: ['metformin', 'lisinopril', 'atorvastatin'],
patient_context: { age: 65, conditions: ['diabetes', 'hypertension'] }
});
interactions.forEach(i =>
console.log(`${i.drug1} + ${i.drug2}: ${i.severity} — ${i.description}`)
);
```
### Step 3: Guideline Lookup
```typescript
const guidelines = await client.guidelines.search({
condition: 'hypertension',
source: ['ACC/AHA', 'ESC'],
year_min: 2023
});
guidelines.forEach(g =>
console.log(`${g.source}: ${g.title} (${g.year})`)
);
```
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| Auth error | Invalid credentials | Check OPENEVIDENCE_API_KEY |
| Not found | Invalid endpoint | Verify API URL |
| Rate limit | Too many requests | Implement backoff |
## Resources
- [OpenEvidence API Docs](https://www.openevidence.com)
## Next Steps
See `openevidence-local-dev-loop`.Related Skills
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