OP

openevidence-core-workflow-a

Integrates OpenEvidence search functionality for clinical literature retrieval and decision support.

Install

mkdir -p .claude/skills/openevidence-core-workflow-a && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4116" && unzip -o skill.zip -d .claude/skills/openevidence-core-workflow-a && rm skill.zip

Installs to .claude/skills/openevidence-core-workflow-a

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Execute OpenEvidence primary workflow: Clinical Query & Decision Support.
73 charsno explicit “when” trigger
Intermediate

Key capabilities

  • →Search clinical literature with evidence-level filters
  • →Retrieve structured citations with journal and year metadata
  • →Check drug interactions against patient context
  • →Lookup specialty guidelines from major bodies
  • →Provide confidence scores and evidence grading

How it works

The workflow queries clinical literature databases using specified filters and returns structured evidence with confidence metrics. It also checks drug interactions and retrieves guidelines from sources like ACC/AHA, ESC, and NICE.

Inputs & outputs

You give it
Clinical question, specialty, and evidence level
You get back
Evidence-backed answer with citations and confidence score

When to use openevidence-core-workflow-a

  • →Implement clinical evidence lookups
  • →Build decision support features
  • →Filter literature by specialty
  • →Retrieve structured citations

About this skill

OpenEvidence Clinical Consult Workflow

Overview

Convert a clinical uncertainty into a focused Ask workflow, then validate the evidence before using it in care. Keep inputs minimal, separate observed facts from assumptions, and leave consequential decisions with the named accountable owner.

Prerequisites

  • A clearly bounded workflow, accountable clinical owner, and organizational policy
  • Current first-party OpenEvidence documentation and applicable institution agreements
  • Synthetic or properly authorized minimum-necessary data

Tool Discipline

Use Read, Glob, and Grep to inspect supplied policies, plans, and evidence. Use WebFetch only for current first-party OpenEvidence documentation. Use Write or Edit only when the user requests a named deliverable with an approved destination. Never expose credentials, PHI, recordings, or unrestricted environment output.

Current Contract

  • The platform is informational and educational and does not replace diagnosis or professional clinical judgment.
  • The public guide describes Ask for evidence-based clinical questions with cited sources.
  • Only enter patient context permitted by applicable policy, agreement, authorization, and consent.

Authentication

Use only the official OpenEvidence web/mobile sign-in or an institution-approved access path. Do not invent API keys, OAuth clients, SDK credentials, service accounts, or private endpoints. Never ask a user to reveal a password, session token, cookie, or recovery code.

Instructions

  1. Define the decision to support and the minimum context needed; remove direct identifiers unless approved and necessary.
  2. Frame the question with population, intervention or exposure, comparator, outcomes, and relevant constraints.
  3. Choose the documented Ask model or workflow appropriate to complexity; use Snow for a literature investigation when warranted.
  4. Review EvidenceGrade when present, then open citations and inspect recency, study design, population, and guideline provenance.
  5. Reconcile the response with patient-specific facts, contraindications, local policy, and the clinician’s independent judgment.
  6. Record the question, evidence reviewed, uncertainty, decision owner, and any follow-up without copying unnecessary PHI.

Approval Boundaries

Do not create or share accounts; change access, roles, agreements, consent, retention, or security settings; enter PHI; record a conversation; copy content into another system; contact a patient; make a diagnosis or treatment decision; submit billing; transmit a support packet; run a production pilot; or represent vendor capabilities without explicit approval from the accountable owner. A qualified professional remains responsible for clinical decisions.

Output

Return scope, current first-party evidence and date, data classification, workflow or findings, citations reviewed, assumptions rejected, clinical and governance owners, approval state, unresolved risk, and the exact next action. Redact patient and credential data.

Error Handling

ConditionResponse
Evidence conflictsSurface both positions and have the clinical owner resolve applicability.
Patient context exceeds policyDe-identify further or stop until authorization is confirmed.
Answer sounds definitiveRestate uncertainty and verify source support before use.

Examples

This compact example shows the minimum reviewable handoff; adapt fields to the approved workflow without adding sensitive data.

Input:

decision=therapy options; population=de-identified adult; constraints=renal impairment

Expected handoff:

question=structured; sources=opened; uncertainty=recorded; decision=clinician-owned

Resources

When not to use it

  • →Queries requiring patient case analysis
  • →Reporting tasks

Limitations

  • →Empty citations array if question is too narrow
  • →Rate limit of 30 queries per minute

How it compares

Unlike manual literature searches, this workflow provides structured, graded evidence and automated drug interaction checks specifically for clinical decision support.

Compared to similar skills

openevidence-core-workflow-a side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
openevidence-core-workflow-a (this skill)12moReviewIntermediate
identify-vault-protocol18moNo flagsIntermediate
biopython19moReviewIntermediate
reference-sdk18moReviewIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

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