Claude-code-plugins-plus openevidence-sdk-patterns

install
source · Clone the upstream repo
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/saas-packs/openevidence-pack/skills/openevidence-sdk-patterns" ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-openevidence-sdk-patterns && rm -rf "$T"
manifest: plugins/saas-packs/openevidence-pack/skills/openevidence-sdk-patterns/SKILL.md
source content

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

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

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

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

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

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

PatternWhen to UseExample
safeCall
wrapper
All API callsStructured error with clinical operation context
Retry on 429Batch evidence queries5s backoff before retry
422 validationMalformed clinical queriesClear message on rejected terminology
Citation chain auditCompliance reportingPreserve full provenance from response

Resources

Next Steps

Apply patterns in

openevidence-core-workflow-a
.