Does this skill work with both Node.js and Python?

Yes, the diagnostic scripts are designed to detect and report on both Node.js and Python runtimes, as well as their respective OpenEvidence SDK installations.

What network diagnostics are included in the bundle?

The bundle performs DNS resolution checks for api.openevidence.com, executes TLS handshake verifications, measures endpoint latency, and checks the health status of the API.

How does this skill handle sensitive patient data (PHI)?

The skill includes a dedicated log-sanitizer that uses regex patterns to automatically redact sensitive information such as SSNs, MRNs, patient names, and dates of birth before logs are included in a debug bundle.

Can I use this skill to monitor API rate limits?

Yes, the debug bundle includes a step that retrieves and parses X-RateLimit headers to help you determine if integration issues are caused by throttling.

OpenEvidence Debug Bundle

Name: OpenEvidence Debug Bundle
Author: jeremylongshore

byjeremylongshore

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1,243

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Analíticas y Monitorización

Generates comprehensive diagnostic reports and sanitized logs for troubleshooting OpenEvidence API integrations.

The OpenEvidence Debug Bundle is a specialized utility designed to streamline the troubleshooting process for developers working with OpenEvidence clinical AI integrations. It automates the collection of environment configurations, SDK versions, and connectivity metrics while prioritizing privacy through a robust PHI (Protected Health Information) sanitization layer. Whether you are diagnosing latency issues, authentication errors, or preparing a formal support request, this skill provides a standardized, secure way to gather all necessary technical context without compromising patient data.

Características Principales

01SDK and runtime version verification (Node.js/Python)

02Standardized support ticket generation for incident reporting

03Automated environment and connectivity health diagnostics

04Privacy-focused log sanitization for PHI protection

05Network latency and rate limit status monitoring

061,243 GitHub stars

Casos de Uso

01Preparing privacy-compliant debug bundles for submission to OpenEvidence technical support.

02Diagnosing intermittent connectivity or timeout issues with OpenEvidence clinical queries.

03Conducting post-incident analysis after integration failures in production environments.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills openevidence-debug-bundle

For use in Claude.ai and ChatGPT

Download Skill

Características Principales

01SDK and runtime version verification (Node.js/Python)

02Standardized support ticket generation for incident reporting

03Automated environment and connectivity health diagnostics

04Privacy-focused log sanitization for PHI protection

05Network latency and rate limit status monitoring

061,243 GitHub stars

Casos de Uso

01Preparing privacy-compliant debug bundles for submission to OpenEvidence technical support.

02Diagnosing intermittent connectivity or timeout issues with OpenEvidence clinical queries.

03Conducting post-incident analysis after integration failures in production environments.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills openevidence-debug-bundle

For use in Claude.ai and ChatGPT

Download Skill