openevidence-sdk-patterns
Sdk Patterns for OpenEvidence. Trigger: "openevidence sdk patterns".
Best use case
openevidence-sdk-patterns is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sdk Patterns for OpenEvidence. Trigger: "openevidence sdk patterns".
Teams using openevidence-sdk-patterns 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-sdk-patterns/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How openevidence-sdk-patterns Compares
| Feature / Agent | openevidence-sdk-patterns | 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?
Sdk Patterns for OpenEvidence. Trigger: "openevidence sdk patterns".
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 SDK Patterns
## Overview
Production-ready patterns for the OpenEvidence clinical evidence API. OpenEvidence provides REST endpoints for querying medical literature, retrieving clinical guidelines, and generating evidence-based recommendations. The API authenticates via `OPENEVIDENCE_API_KEY` and returns structured clinical data with citation provenance. A singleton client enforces consistent auth, handles healthcare-specific errors, and preserves citation chains for audit compliance.
## Singleton Client
```typescript
const OE_BASE = 'https://api.openevidence.com/v1';
let _client: OpenEvidenceClient | null = null;
export function getClient(): OpenEvidenceClient {
if (!_client) {
const apiKey = process.env.OPENEVIDENCE_API_KEY;
if (!apiKey) throw new Error('OPENEVIDENCE_API_KEY must be set — get it from openevidence.com/developer');
_client = new OpenEvidenceClient(apiKey);
}
return _client;
}
class OpenEvidenceClient {
private headers: Record<string, string>;
constructor(apiKey: string) { this.headers = { 'Authorization': `Bearer ${apiKey}`, 'Content-Type': 'application/json' }; }
async query(question: string, opts: { specialty?: string; maxResults?: number } = {}): Promise<EvidenceResponse> {
const res = await fetch(`${OE_BASE}/query`, { method: 'POST', headers: this.headers,
body: JSON.stringify({ question, specialty: opts.specialty, max_results: opts.maxResults ?? 10 }) });
if (!res.ok) throw new OEError(res.status, await res.text()); return res.json();
}
async getCitation(citationId: string): Promise<Citation> {
const res = await fetch(`${OE_BASE}/citations/${citationId}`, { headers: this.headers });
if (!res.ok) throw new OEError(res.status, await res.text()); return res.json();
}
}
```
## Error Wrapper
```typescript
export class OEError extends Error {
constructor(public status: number, message: string) { super(message); this.name = 'OEError'; }
}
export async function safeCall<T>(operation: string, fn: () => Promise<T>): Promise<T> {
try { return await fn(); }
catch (err: any) {
if (err instanceof OEError && err.status === 429) { await new Promise(r => setTimeout(r, 5000)); return fn(); }
if (err instanceof OEError && err.status === 401) throw new OEError(401, 'Invalid OPENEVIDENCE_API_KEY');
if (err instanceof OEError && err.status === 422) throw new OEError(422, `${operation}: query rejected — check terminology`);
throw new OEError(err.status ?? 0, `${operation} failed: ${err.message}`);
}
}
```
## Request Builder
```typescript
class OEQueryBuilder {
private body: Record<string, any> = {};
question(q: string) { this.body.question = q; return this; }
specialty(s: string) { this.body.specialty = s; return this; }
maxResults(n: number) { this.body.max_results = Math.min(n, 50); return this; }
evidenceLevel(level: 'meta-analysis' | 'rct' | 'cohort' | 'any') { this.body.evidence_level = level; return this; }
yearRange(from: number, to: number) { this.body.year_range = { from, to }; return this; }
build() { return this.body; }
}
// Usage: new OEQueryBuilder().question('statin efficacy in elderly').specialty('cardiology').evidenceLevel('rct').build();
```
## Response Types
```typescript
interface EvidenceResponse {
answer: string; confidence: number; citations: Citation[]; specialty: string;
}
interface Citation {
id: string; title: string; authors: string[]; journal: string; year: number;
doi: string; evidence_level: 'meta-analysis' | 'rct' | 'cohort' | 'case-report'; abstract: string;
}
interface Guideline {
id: string; organization: string; title: string; year: number;
recommendation: string; strength: 'strong' | 'moderate' | 'weak';
}
interface DrugInteraction {
drug_a: string; drug_b: string; severity: 'major' | 'moderate' | 'minor';
description: string; citations: Citation[];
}
```
## Testing Utilities
```typescript
export function mockCitation(overrides: Partial<Citation> = {}): Citation {
return { id: 'cite-001', title: 'Statin Therapy in Older Adults', authors: ['Smith J', 'Doe A'],
journal: 'NEJM', year: 2024, doi: '10.1056/NEJMoa2401234',
evidence_level: 'rct', abstract: 'Background: ...', ...overrides };
}
export function mockEvidenceResponse(citationCount = 3): EvidenceResponse {
return { answer: 'Evidence supports moderate-intensity statin therapy...', confidence: 0.87,
citations: Array.from({ length: citationCount }, (_, i) => mockCitation({ id: `cite-${i}` })),
specialty: 'cardiology' };
}
```
## Error Handling
| Pattern | When to Use | Example |
|---------|-------------|---------|
| `safeCall` wrapper | All API calls | Structured error with clinical operation context |
| Retry on 429 | Batch evidence queries | 5s backoff before retry |
| 422 validation | Malformed clinical queries | Clear message on rejected terminology |
| Citation chain audit | Compliance reporting | Preserve full provenance from response |
## Resources
- [OpenEvidence](https://www.openevidence.com)
## Next Steps
Apply patterns in `openevidence-core-workflow-a`.Related Skills
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