[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6H866M7EYTQ54BBQJ78SAPM":3,"skill-same:01M6H866M7EYTQ54BBQJ78SAPM":69},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":54,"install":55,"resources":68},"01M6H866M7EYTQ54BBQJ78SAPM","openevidence-hello-world",null,"Create a minimal working OpenEvidence clinical query example.\nUse when starting a new OpenEvidence integration, testing your setup,\nor learning basic clinical query patterns.\nTrigger with phrases like \"openevidence hello world\", \"openevidence example\",\n\"openevidence quick start\", \"first clinical query\".","micsapp\u002Fmicstec-skills","micsapp","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F82411001?v=4","01M6GWCFQ6D3PV8EHNY62NN5VW","01M6GWCFVE1PA5HG0DKC7AMFJ3",4,"MIT","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Fopenevidence-pack\u002Fskills\u002Fopenevidence-hello-world\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"world","openevidence hello world","hello world","hello","query","quick","with","quick start","trigger","io","basic","clinical","testing","minimal","example","use","learning","first","code","create","2026-11-10 10:12:30",false,"---\nname: openevidence-hello-world\ndescription: |\n  Create a minimal working OpenEvidence clinical query example.\n  Use when starting a new OpenEvidence integration, testing your setup,\n  or learning basic clinical query patterns.\n  Trigger with phrases like \"openevidence hello world\", \"openevidence example\",\n  \"openevidence quick start\", \"first clinical query\".\nallowed-tools: Read, Write, Edit\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\ncompatible-with: claude-code, codex, openclaw\n---\n# OpenEvidence Hello World\n\n## Overview\nMinimal working example demonstrating core OpenEvidence clinical query functionality.\n\n## Prerequisites\n- Completed `openevidence-install-auth` setup\n- Valid API credentials configured\n- Development environment ready\n\n## Instructions\n\n### Step 1: Create Entry File\n```typescript\n\u002F\u002F src\u002Fopenevidence-demo.ts\nimport { OpenEvidenceClient } from '@openevidence\u002Fsdk';\n\nconst client = new OpenEvidenceClient({\n  apiKey: process.env.OPENEVIDENCE_API_KEY,\n  orgId: process.env.OPENEVIDENCE_ORG_ID,\n});\n```\n\n### Step 2: Make Your First Clinical Query\n```typescript\nasync function firstClinicalQuery() {\n  \u002F\u002F Simple clinical question\n  const response = await client.query({\n    question: \"What are the first-line treatments for type 2 diabetes in adults?\",\n    context: {\n      specialty: \"internal-medicine\",\n      urgency: \"routine\",\n    },\n  });\n\n  console.log('Answer:', response.answer);\n  console.log('Sources:', response.citations.map(c => c.source));\n  console.log('Confidence:', response.confidence);\n}\n\nfirstClinicalQuery().catch(console.error);\n```\n\n### Step 3: Run the Example\n```bash\n# With TypeScript\nnpx ts-node src\u002Fopenevidence-demo.ts\n\n# With Node.js (after compilation)\nnode dist\u002Fopenevidence-demo.js\n```\n\n## Output\n- Working code file with OpenEvidence client initialization\n- Successful API response with evidence-based answer\n- Console output showing:\n```\nAnswer: First-line treatment for type 2 diabetes in adults typically includes...\nSources: [\"NEJM 2024\", \"ADA Standards of Care 2025\", \"JAMA Internal Medicine\"]  # 2024: 2025 year\nConfidence: 0.95\n```\n\n## Response Structure\n```typescript\ninterface ClinicalQueryResponse {\n  answer: string;              \u002F\u002F Evidence-based clinical answer\n  citations: Citation[];       \u002F\u002F Peer-reviewed sources\n  confidence: number;          \u002F\u002F 0-1 confidence score\n  lastUpdated: string;         \u002F\u002F When evidence was last reviewed\n  disclaimer: string;          \u002F\u002F Clinical use disclaimer\n  deepConsultAvailable: boolean; \u002F\u002F Whether DeepConsult can provide more detail\n}\n\ninterface Citation {\n  source: string;              \u002F\u002F Journal\u002Fguideline name\n  title: string;               \u002F\u002F Article title\n  authors: string[];           \u002F\u002F Author list\n  year: number;                \u002F\u002F Publication year\n  doi?: string;                \u002F\u002F DOI if available\n  url?: string;                \u002F\u002F Link to source\n}\n```\n\n## Error Handling\n| Error | Cause | Solution |\n|-------|-------|----------|\n| Import Error | SDK not installed | Verify with `npm list @openevidence\u002Fsdk` |\n| Auth Error | Invalid credentials | Check environment variables are set |\n| Timeout | Complex query or network issues | Increase timeout or retry |\n| Rate Limit | Too many requests | Wait and retry with exponential backoff |\n| Invalid Query | Question not clinical | Ensure query is medically relevant |\n\n## Examples\n\n### TypeScript Example with Error Handling\n```typescript\nimport { OpenEvidenceClient, OpenEvidenceError } from '@openevidence\u002Fsdk';\n\nconst client = new OpenEvidenceClient({\n  apiKey: process.env.OPENEVIDENCE_API_KEY,\n  orgId: process.env.OPENEVIDENCE_ORG_ID,\n});\n\nasync function queryClinicalEvidence(question: string) {\n  try {\n    const response = await client.query({\n      question,\n      context: {\n        specialty: \"family-medicine\",\n        urgency: \"routine\",\n      },\n      options: {\n        maxCitations: 5,\n        includeGuidelines: true,\n      },\n    });\n\n    return {\n      answer: response.answer,\n      sources: response.citations,\n      confidence: response.confidence,\n    };\n  } catch (error) {\n    if (error instanceof OpenEvidenceError) {\n      console.error(`OpenEvidence Error [${error.code}]:`, error.message);\n    }\n    throw error;\n  }\n}\n\n\u002F\u002F Example usage\nqueryClinicalEvidence(\n  \"What is the recommended antibiotic for community-acquired pneumonia?\"\n).then(result => {\n  console.log('Clinical Answer:', result.answer);\n  console.log('Evidence Sources:', result.sources.length);\n});\n```\n\n### Python Example\n```python\nfrom openevidence import OpenEvidenceClient, OpenEvidenceError\n\nclient = OpenEvidenceClient()\n\ndef query_clinical_evidence(question: str) -> dict:\n    try:\n        response = client.query(\n            question=question,\n            context={\n                \"specialty\": \"emergency-medicine\",\n                \"urgency\": \"urgent\"\n            }\n        )\n\n        return {\n            \"answer\": response.answer,\n            \"sources\": [c.source for c in response.citations],\n            \"confidence\": response.confidence\n        }\n    except OpenEvidenceError as e:\n        print(f\"Error [{e.code}]: {e.message}\")\n        raise\n\n# Example usage\nresult = query_clinical_evidence(\n    \"What are the contraindications for tPA in acute ischemic stroke?\"\n)\nprint(f\"Answer: {result['answer']}\")\n```\n\n## Resources\n- [OpenEvidence](https:\u002F\u002Fwww.openevidence.com\u002F)\n- [OpenEvidence API Terms](https:\u002F\u002Fwww.openevidence.com\u002Fpolicies\u002Fapi)\n\n## Next Steps\nProceed to `openevidence-local-dev-loop` for development workflow setup.","# OpenEvidence Hello World\n\n## Overview\nMinimal working example demonstrating core OpenEvidence clinical query functionality.\n\n## Prerequisites\n- Completed `openevidence-install-auth` setup\n- Valid API credentials configured\n- Development environment ready\n\n## Instructions\n\n### Step 1: Create Entry File\n```typescript\n\u002F\u002F src\u002Fopenevidence-demo.ts\nimport { OpenEvidenceClient } from '@openevidence\u002Fsdk';\n\nconst client = new OpenEvidenceClient({\n  apiKey: process.env.OPENEVIDENCE_API_KEY,\n  orgId: process.env.OPENEVIDENCE_ORG_ID,\n});\n```\n\n### Step 2: Make Your First Clinical Query\n```typescript\nasync function firstClinicalQuery() {\n  \u002F\u002F Simple clinical question\n  const response = await client.query({\n    question: \"What are the first-line treatments for type 2 diabetes in adults?\",\n    context: {\n      specialty: \"internal-medicine\",\n      urgency: \"routine\",\n    },\n  });\n\n  console.log('Answer:', response.answer);\n  console.log('Sources:', response.citations.map(c => c.source));\n  console.log('Confidence:', response.confidence);\n}\n\nfirstClinicalQuery().catch(console.error);\n```\n\n### Step 3: Run the Example\n```bash\n# With TypeScript\nnpx ts-node src\u002Fopenevidence-demo.ts\n\n# With Node.js (after compilation)\nnode dist\u002Fopenevidence-demo.js\n```\n\n## Output\n- Working code file with OpenEvidence client initialization\n- Successful API response with evidence-based answer\n- Console output showing:\n```\nAnswer: First-line treatment for type 2 diabetes in adults typically includes...\nSources: [\"NEJM 2024\", \"ADA Standards of Care 2025\", \"JAMA Internal Medicine\"]  # 2024: 2025 year\nConfidence: 0.95\n```\n\n## Response Structure\n```typescript\ninterface ClinicalQueryResponse {\n  answer: string;              \u002F\u002F Evidence-based clinical answer\n  citations: Citation[];       \u002F\u002F Peer-reviewed sources\n  confidence: number;          \u002F\u002F 0-1 confidence score\n  lastUpdated: string;         \u002F\u002F When evidence was last reviewed\n  disclaimer: string;          \u002F\u002F Clinical use disclaimer\n  deepConsultAvailable: boolean; \u002F\u002F Whether DeepConsult can provide more detail\n}\n\ninterface Citation {\n  source: string;              \u002F\u002F Journal\u002Fguideline name\n  title: string;               \u002F\u002F Article title\n  authors: string[];           \u002F\u002F Author list\n  year: number;                \u002F\u002F Publication year\n  doi?: string;                \u002F\u002F DOI if available\n  url?: string;                \u002F\u002F Link to source\n}\n```\n\n## Error Handling\n| Error | Cause | Solution |\n|-------|-------|----------|\n| Import Error | SDK not installed | Verify with `npm list @openevidence\u002Fsdk` |\n| Auth Error | Invalid credentials | Check environment variables are set |\n| Timeout | Complex query or network issues | Increase timeout or retry |\n| Rate Limit | Too many requests | Wait and retry with exponential backoff |\n| Invalid Query | Question not clinical | Ensure query is medically relevant |\n\n## Examples\n\n### TypeScript Example with Error Handling\n```typescript\nimport { OpenEvidenceClient, OpenEvidenceError } from '@openevidence\u002Fsdk';\n\nconst client = new OpenEvidenceClient({\n  apiKey: process.env.OPENEVIDENCE_API_KEY,\n  orgId: process.env.OPENEVIDENCE_ORG_ID,\n});\n\nasync function queryClinicalEvidence(question: string) {\n  try {\n    const response = await client.query({\n      question,\n      context: {\n        specialty: \"family-medicine\",\n        urgency: \"routine\",\n      },\n      options: {\n        maxCitations: 5,\n        includeGuidelines: true,\n      },\n    });\n\n    return {\n      answer: response.answer,\n      sources: response.citations,\n      confidence: response.confidence,\n    };\n  } catch (error) {\n    if (error instanceof OpenEvidenceError) {\n      console.error(`OpenEvidence Error [${error.code}]:`, error.message);\n    }\n    throw error;\n  }\n}\n\n\u002F\u002F Example usage\nqueryClinicalEvidence(\n  \"What is the recommended antibiotic for community-acquired pneumonia?\"\n).then(result => {\n  console.log('Clinical Answer:', result.answer);\n  console.log('Evidence Sources:', result.sources.length);\n});\n```\n\n### Python Example\n```python\nfrom openevidence import OpenEvidenceClient, OpenEvidenceError\n\nclient = OpenEvidenceClient()\n\ndef query_clinical_evidence(question: str) -> dict:\n    try:\n        response = client.query(\n            question=question,\n            context={\n                \"specialty\": \"emergency-medicine\",\n                \"urgency\": \"urgent\"\n            }\n        )\n\n        return {\n            \"answer\": response.answer,\n            \"sources\": [c.source for c in response.citations],\n            \"confidence\": response.confidence\n        }\n    except OpenEvidenceError as e:\n        print(f\"Error [{e.code}]: {e.message}\")\n        raise\n\n# Example usage\nresult = query_clinical_evidence(\n    \"What are the contraindications for tPA in acute ischemic stroke?\"\n)\nprint(f\"Answer: {result['answer']}\")\n```\n\n## Resources\n- [OpenEvidence](https:\u002F\u002Fwww.openevidence.com\u002F)\n- [OpenEvidence API Terms](https:\u002F\u002Fwww.openevidence.com\u002Fpolicies\u002Fapi)\n\n## Next Steps\nProceed to `openevidence-local-dev-loop` for development workflow setup.",{"name":5,"author":43,"license":14,"version":44,"description":45,"allowed-tools":46,"compatible-with":47},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Create a minimal working OpenEvidence clinical query example.\nUse when starting a new OpenEvidence integration, testing your setup,\nor learning basic clinical query patterns.\nTrigger with phrases like \"openevidence hello world\", \"openevidence example\",\n\"openevidence quick start\", \"first clinical query\".\n","Read, Write, Edit","claude-code, codex, 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