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openevidence-core-workflow-b

Execute OpenEvidence secondary workflow: DeepConsult Research Synthesis. Trigger: "openevidence deepconsult research synthesis", "secondary openevidence workflow".

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Imported from jeremylongshore/tons-of-skills-marketplace (plugins/saas-packs/openevidence-pack/skills/openevidence-core-workflow-b/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill openevidence-core-workflow-b. Copyright stays with the author (MIT).

OpenEvidence — Evidence Review & Citations

Overview

Search medical evidence, manage citations, and generate formatted evidence reports through OpenEvidence. Use this workflow to find clinical studies for a specific question, build citation collections for literature reviews, or produce structured evidence summaries with graded recommendations. This is the secondary workflow — for DeepConsult research synthesis, see openevidence-core-workflow-a.

Instructions

Step 1: Search the Evidence Database

const results = await client.evidence.search({
  query: 'SGLT2 inhibitors cardiovascular outcomes type 2 diabetes',
  filters: {
    study_type: ['rct', 'meta_analysis', 'systematic_review'],
    year_range: { min: 2020, max: 2026 },
    evidence_level: ['1a', '1b', '2a'],
  },
  limit: 25,
  sort: 'relevance',
});
console.log(`Found ${results.total} studies`);
results.items.forEach(s =>
  console.log(`  [${s.evidence_level}] ${s.title} (${s.journal}, ${s.year}) — ${s.citations} citations`)
);

Step 2: Build a Citation Collection

const collection = await client.citations.create({
  name: 'SGLT2i CV Outcomes Review — April 2026',
  study_ids: results.items.slice(0, 15).map(s => s.id),
  tags: ['cardiology', 'diabetes', 'sglt2i'],
});
console.log(`Collection ${collection.id}: ${collection.study_count} studies`);
await client.citations.addByDoi(collection.id, { doi: '10.1056/NEJMoa2034577' });

Step 3: Grade Evidence and Extract Key Findings

const graded = await client.evidence.grade(collection.id, {
  framework: 'GRADE',  // GRADE | Oxford | USPSTF
  outcome: 'major_adverse_cardiovascular_events',
});
graded.findings.forEach(f =>
  console.log(`${f.outcome}: ${f.grade} (${f.certainty}) — ${f.summary}`)
);
console.log(`Overall recommendation: ${graded.recommendation}`);

Step 4: Generate a Formatted Evidence Report

const report = await client.reports.generate({
  collection_id: collection.id,
  format: 'structured',
  sections: ['clinical_question', 'search_strategy', 'evidence_table', 'grade_summary', 'references'],
  citation_style: 'AMA',
});
console.log(`Report generated: ${report.page_count} pages`);
console.log(`Download: ${report.download_url}`);

HIPAA Notice

  • HIPAA-compliant and SOC 2 Type II certified — never include patient identifiers
  • Use de-identified clinical scenarios only; ensure BAA is in place before handling PHI

Error Handling

Issue Cause Fix
401 Unauthorized Invalid API key or expired session Regenerate key in OpenEvidence dashboard
404 Study not found DOI not indexed or incorrect ID Search by title or check DOI format
422 Invalid filter Unsupported evidence_level or study_type Use allowed values from client.schema.filters()
429 Rate limited Exceeded 60 queries/minute Add backoff; batch searches where possible
503 Grading unavailable GRADE engine under maintenance Retry after 5 minutes or use Oxford framework

Output

A successful workflow returns ranked evidence results with evidence levels, a curated citation collection, GRADE assessments with certainty ratings, and a downloadable structured report in AMA citation format.

Resources

Next Steps

See openevidence-sdk-patterns for authentication and HIPAA-compliant configuration.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/jeremylongshore-tons-of-skills-marketplace-openevidence-e2b8d6/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

jeremylongshore-tons-of-skills-marketplace-openevidence-e2b8d6.ocm.jsonjson
{
  "ocm": "1",
  "id": "jeremylongshore-tons-of-skills-marketplace-openevidence-e2b8d6",
  "kind": "skill",
  "name": "openevidence-core-workflow-b",
  "description": "Execute OpenEvidence secondary workflow: DeepConsult Research Synthesis. Trigger: \"openevidence deepconsult research synthesis\", \"secondary openevidence workflow\".",
  "publisher": "jeremylongshore",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "saas",
      "openevidence",
      "healthcare",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Execute OpenEvidence secondary workflow: DeepConsult Research Synthesis. Trigger: \"openevidence deepconsult research synthesis\", \"secondary openevidence workflow\"."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/jeremylongshore/tons-of-skills-marketplace",
      "path": "plugins/saas-packs/openevidence-pack/skills/openevidence-core-workflow-b/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/jeremylongshore/tons-of-skills-marketplace/blob/HEAD/plugins/saas-packs/openevidence-pack/skills/openevidence-core-workflow-b/SKILL.md",
      "key": "jeremylongshore/tons-of-skills-marketplace/plugins/saas-packs/openevidence-pack/skills/openevidence-core-workflow-b/SKILL.md"
    },
    "compatibility": "Designed for Claude Code",
    "allowed_tools": [
      "Read,",
      "Write,",
      "Edit,",
      "Bash(npm:*),",
      "Grep"
    ],
    "license": "MIT"
  },
  "instructions": "# OpenEvidence — Evidence Review & Citations\n\n## Overview\n\nSearch medical evidence, manage citations, and generate formatted evidence reports\nthrough OpenEvidence. Use this workflow to find clinical studies for a specific\nquestion, build citation collections for literature reviews, or produce structured\nevidence summaries with graded recommendations. This is the secondary workflow —\nfor DeepConsult research synthesis, see `openevidence-core-workflow-a`.\n\n## Instructions\n\n### Step 1: Search the Evidence Database\n\n```typescript\nconst results = await client.evidence.search({\n  query: 'SGLT2 inhib",
  "cost": {
    "context_tokens": 865
  }
}

Fetch it by URL: GET /api/v1/registry/jeremylongshore-tons-of-skills-marketplace-openevidence-e2b8d6/manifest?version=1.0.0

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