Can I set custom budget alerts?

Yes, the skill includes implementation patterns for defining daily/monthly limits and alert thresholds that trigger notifications when spending reaches a specific percentage.

How does this skill help reduce OpenEvidence costs?

It implements logic to differentiate between simple queries and expensive DeepConsult requests, ensuring the high-cost feature is only used when complex research is required.

Is caching supported to save on API calls?

Yes, the skill includes logic for aggressively caching DeepConsult results to prevent redundant, expensive operations for similar medical queries.

Does it support different user tiers?

Yes, it provides a quota management system to restrict API access based on user subscription levels such as Free, Professional, and Enterprise.

OpenEvidence Cost Tuning

Name: OpenEvidence Cost Tuning
Author: jeremylongshore

byjeremylongshore

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1,440

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Analytics & Monitoring

Optimizes OpenEvidence API expenditures and clinical AI usage efficiency through smart budgeting and request management.

This skill provides a comprehensive framework for managing OpenEvidence API costs within clinical decision support applications. It enables developers to implement real-time usage tracking, establish daily and monthly budgets with automated alerts, and apply intelligent logic to determine when to use high-cost DeepConsult features versus standard queries. By incorporating user-tier quotas and automated cost reporting, it ensures that AI-driven medical insights remain financially sustainable while preventing overage charges and resource abuse.

Key Features

01Tiered user quota management for multi-level SaaS applications

021,440 GitHub stars

03Intelligent request routing to prevent unnecessary high-cost API calls

04Customizable daily and monthly budget thresholds with alert notifications

05Automated cost reporting and optimization recommendations

06Real-time usage tracking for queries and DeepConsult research

Use Cases

01Controlling clinical AI expenses in a production healthcare application

02Monitoring and alerting teams when API spend reaches predefined budget limits

03Implementing a multi-tier SaaS model for OpenEvidence-powered features

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills openevidence-cost-tuning

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Tiered user quota management for multi-level SaaS applications

021,440 GitHub stars

03Intelligent request routing to prevent unnecessary high-cost API calls

04Customizable daily and monthly budget thresholds with alert notifications

05Automated cost reporting and optimization recommendations

06Real-time usage tracking for queries and DeepConsult research

Use Cases

01Controlling clinical AI expenses in a production healthcare application

02Monitoring and alerting teams when API spend reaches predefined budget limits

03Implementing a multi-tier SaaS model for OpenEvidence-powered features

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills openevidence-cost-tuning

For use in Claude.ai and ChatGPT

Download Skill