OpenEvidence Verified-User Onboarding
SkillDev toolsComplete a smallest-safe OpenEvidence onboarding proof through the supported product, with no patient data or invented API key. Use when working with OpenEvidence in a healthcare organization. Trigger with "openevidence hello world", "OpenEvidence onboarding", or a matching workflow request.
Use OpenEvidence Verified-User Onboarding in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add OpenEvidence Verified-User Onboarding and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the OpenEvidence Verified-User Onboarding skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/openevidence-hello-world/SKILL.md and read by Ahel’s review.
Overview
Verify account access and the Ask evidence-review loop using a synthetic clinical question. 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
- Full service access requires account registration and may include professional verification.
- The supported onboarding surface is the website or mobile application; no public API-key flow is documented.
- The first proof must avoid patient data and clinical action.
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
- Confirm the intended user, approved device, organizational policy, and whether an institutional account path applies.
- Register or sign in through the official product; never request or fabricate an API key.
- Submit a synthetic, non-urgent clinical question containing no identifiable patient facts.
- Confirm the answer displays sources and, when present, EvidenceGrade; open at least one citation.
- Record surface, timestamp, result, and any access limitation without copying account secrets.
- End with the product unmodified except for the authorized test history and identify the clinical-review training needed next.
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 |
|---|---|
| Verification blocked | Use the official account/support path; do not impersonate a professional. |
| No citations visible | Treat onboarding as failed and capture a redacted support packet. |
| Real patient details supplied | Stop, remove them through approved means if possible, and notify the privacy owner. |
Examples
This compact example shows the minimum reviewable handoff; adapt fields to the approved workflow without adding sensitive data.
Input:
surface=web; user=verified clinician; question=synthetic guideline comparison
Expected handoff:
access=verified; answer=received; citation=open; patient-data=none
Resources
Signals
- GitHub stars
- 3k
- Forks
- 415
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
openevidence-hello-world- Source
- github.com/jeremylongshore/tons-of-skills-marketplace