openevidence-deploy-integration
Provides a Docker-based deployment pattern for secure, production-ready OpenEvidence clinical service integrations.
Install
mkdir -p .claude/skills/openevidence-deploy-integration && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4685" && unzip -o skill.zip -d .claude/skills/openevidence-deploy-integration && rm skill.zipInstalls to .claude/skills/openevidence-deploy-integration
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.
Deploy Integration for OpenEvidence.Key capabilities
- →Deploy containerized clinical evidence integration services
- →Configure HIPAA-conscious audit logging and data-at-rest encryption
- →Implement health checks for API connectivity
- →Execute rolling update strategies for service availability
How it works
The service uses a multi-stage Docker build to create a production-ready Node.js environment. It includes a health check endpoint that verifies API connectivity while ensuring no PHI is exposed.
Inputs & outputs
When to use openevidence-deploy-integration
- →Deploying to production environments
- →Setting up staging environments
- →Configuring audit logging for AI
- →Creating Docker containers for clinical tools
About this skill
OpenEvidence Practice Rollout Plan
Overview
Treat rollout as clinical workflow change, not software API deployment. 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
- OpenEvidence is delivered through documented end-user product surfaces.
- Institution-specific availability, integrations, commitments, and data terms require written confirmation.
- A rollout needs clinical, privacy, security, operational, and training ownership.
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
- Select one bounded workflow and define users, patients affected, systems touched, success criteria, and explicit exclusions.
- Confirm account eligibility, feature availability, agreement terms, data handling, consent, and support path.
- Design training for prompting, EvidenceGrade, citation verification, professional judgment, and failure escalation.
- Pilot with synthetic scenarios, then a small authorized cohort under heightened review.
- Review quality, safety signals, adoption, workflow burden, and unresolved controls before expansion.
- Record launch/no-launch, rollback trigger, owners, training evidence, and next review date.
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
| Condition | Response |
|---|---|
| Feature not documented | Exclude it until OpenEvidence or the contract owner confirms support. |
| Governance owner missing | Do not launch the workflow. |
| Pilot creates unsafe reliance | Pause, retrain, and reassess before resuming. |
Examples
This compact example shows the minimum reviewable handoff; adapt fields to the approved workflow without adding sensitive data.
Input:
workflow=Ask for guideline summaries; cohort=5 clinicians; phase=pilot
Expected handoff:
decision=conditional-go; controls=verified; rollback=defined; review=14d
Resources
When not to use it
- →Exposing PHI in health check responses
- →Running without audit log volume mounts
Prerequisites
Limitations
- →Rate limiting requires backoff implementation
- →Audit logs require writable volume mounts
How it compares
This workflow provides a pre-configured Docker environment specifically hardened for HIPAA-compliant clinical AI deployments.
Compared to similar skills
openevidence-deploy-integration side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| openevidence-deploy-integration (this skill) | 1 | 2mo | Caution | Intermediate |
| groq-deploy-integration | 1 | 2mo | Review | Intermediate |
| agent-sandbox | 1 | 7mo | No flags | Intermediate |
| docker-node-version-compat-modules | 0 | 7mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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