菜单
Execute OpenEvidence secondary workflow: DeepConsult Research Synthesis. Trigger: "openevidence deepconsult research synthesis", "secondary openevidence workflow".
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill openevidence-core-workflow-b命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | openevidence-core-workflow-b |
| description | Execute OpenEvidence secondary workflow: DeepConsult Research Synthesis. Trigger: "openevidence deepconsult research synthesis", "secondary openevidence workflow". |
| allowed-tools | Read, Write, Edit, Bash(npm:*), Grep |
| version | 1.13.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| tags | ["saas","openevidence","healthcare"] |
| compatibility | Designed for Claude Code |
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.
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`)
);
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}: ${collection.study_count} studies`);
await client.citations.addByDoi(collection.id, { doi: '10.1056/NEJMoa2034577' });
const graded = await client.evidence.grade(collection.id, {
framework: 'GRADE', // GRADE | Oxford | USPSTF
outcome: 'major_adverse_cardiovascular_events',
});
graded.findings.forEach(f =>
console.log(`${f.outcome}: ${f.grade} (${f.certainty}) — ${f.summary}`)
);
console.log(`Overall recommendation: ${graded.recommendation}`);
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}`);
| 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 |
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.
See openevidence-sdk-patterns for authentication and HIPAA-compliant configuration.