openevidence-incident-runbook
Standardized procedure for triaging and mitigating errors in OpenEvidence integrations.
Install
mkdir -p .claude/skills/openevidence-incident-runbook && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8067" && unzip -o skill.zip -d .claude/skills/openevidence-incident-runbook && rm skill.zipInstalls to .claude/skills/openevidence-incident-runbook
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.
Incident Runbook for OpenEvidence.Key capabilities
- →Categorize incident severity based on API availability
- →Verify OpenEvidence API key validity
- →Test network connectivity using curl
- →Analyze error logs for failure patterns
- →Implement fallback response mechanisms
- →Queue failed requests for subsequent retry
How it works
The skill follows a defined severity matrix to categorize incidents and provides a checklist for triage, including status page verification and connectivity testing. Mitigation involves switching to cached responses and queuing requests for retry.
Inputs & outputs
When to use openevidence-incident-runbook
- →Triage API outages
- →Mitigate degraded service conditions
- →Conduct post-incident reviews
- →Verify system connectivity
About this skill
OpenEvidence Clinical-AI Safety Incident Runbook
Overview
Protect patients and data first, then preserve a minimum, redacted factual record for clinical and technical resolution. 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 output does not replace clinical judgment or emergency procedures.
- Privacy, recording, and PHI obligations depend on law, policy, consent, and applicable agreements.
- Security concerns can be reported through OpenEvidence’s published security contact; product support paths govern other issues.
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
- If care may be affected, move to the organization’s clinical escalation or emergency procedure before investigating the tool.
- Classify patient safety, privacy/PHI, unauthorized access, recording consent, availability, or evidence integrity; set severity.
- Contain within authority: stop using the affected workflow, prevent further copying, and preserve necessary facts.
- Notify the accountable clinical, privacy, security, legal, operational, and vendor owners according to policy.
- Build a redacted timeline and validate citations or product behavior without replaying sensitive content.
- Document recovery criteria, approvals, communications, corrective actions, and post-incident review.
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 |
|---|---|
| Active clinical emergency | Do not troubleshoot the product; use emergency clinical channels. |
| Suspected breach | Follow the organization’s breach process and applicable notification decision authority. |
| Unsafe answer | Quarantine it from care, preserve cited evidence, and require clinician review. |
Examples
This compact example shows the minimum reviewable handoff; adapt fields to the approved workflow without adding sensitive data.
Input:
incident=OE-17; class=evidence-integrity; patient-impact=possible
Expected handoff:
workflow=paused; clinical-owner=engaged; evidence=redacted; recovery=pending
Resources
Prerequisites
How it compares
This skill provides a standardized incident response protocol specifically for OpenEvidence rather than relying on manual troubleshooting steps.
Compared to similar skills
openevidence-incident-runbook side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| openevidence-incident-runbook (this skill) | 0 | 2mo | Review | Intermediate |
| firecrawl-incident-runbook | 1 | 2mo | Review | Intermediate |
| perplexity-incident-runbook | 0 | 2mo | Review | Intermediate |
| managing-filestack | 0 | 6mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by jeremylongshore
View all by jeremylongshore →You might also like
firecrawl-incident-runbook
jeremylongshore
Execute FireCrawl incident response procedures with triage, mitigation, and postmortem. Use when responding to FireCrawl-related outages, investigating errors, or running post-incident reviews for FireCrawl integration failures. Trigger with phrases like "firecrawl incident", "firecrawl outage", "firecrawl down", "firecrawl on-call", "firecrawl emergency", "firecrawl broken".
perplexity-incident-runbook
jeremylongshore
Execute Perplexity incident response procedures with triage, mitigation, and postmortem. Use when responding to Perplexity-related outages, investigating errors, or running post-incident reviews for Perplexity integration failures. Trigger with phrases like "perplexity incident", "perplexity outage", "perplexity down", "perplexity on-call", "perplexity emergency", "perplexity broken".
managing-filestack
cloudthinker-ai
|
telegram-bot-builder
davila7
Expert in building Telegram bots that solve real problems - from simple automation to complex AI-powered bots. Covers bot architecture, the Telegram Bot API, user experience, monetization strategies, and scaling bots to thousands of users. Use when: telegram bot, bot api, telegram automation, chat bot telegram, tg bot.
mcp-integration
anthropics
This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.
n8n-workflow-patterns
czlonkowski
Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, or scheduled tasks.