'Cost Tuning for OpenEvidence.
Scanned 9/2/2026
Install to Claude Code
npx -y skills add jeremylongshore/tons-of-skills-marketplace --skill openevidence-cost-tuning --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: openevidence-cost-tuning
description: 'Cost Tuning for OpenEvidence.
Trigger: "openevidence cost tuning".
'
allowed-tools: Read, Write, Edit, Grep
version: 1.13.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- openevidence
- healthcare
compatibility: Designed for Claude Code
---
# OpenEvidence Cost Tuning
## Optimization Strategies
1. Cache frequent API calls
2. Batch requests where possible
3. Use appropriate API tier
4. Monitor usage dashboards
## Usage Tracking
```typescript
let totalCalls = 0;
async function tracked(fn: () => Promise<any>) {
totalCalls++;
console.log(`OpenEvidence API calls today: ${totalCalls}`);
return fn();
}
```
## Resources
- [OpenEvidence Pricing](https://www.openevidence.com)
## Next Steps
See `openevidence-reference-architecture`.
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.