model-currency-checker

Audit AI model configurations against approved defaults and generate a model-currency-report.md.

1|2|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/CleanExpo/CARSI --skill model-currency-checker
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: model-currency-checker
Source: https://github.com/CleanExpo/CARSI/tree/main/.skills/custom/model-currency-checker
Command: npx skills add https://github.com/CleanExpo/CARSI --skill model-currency-checker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill prevents the use of outdated, deprecated, or misconfigured AI models, which can lead to lower-quality outputs, unexpected failures, and increased costs.

Core Features & Use Cases

  • Model Auditing: Compares configured AI models against a list of approved defaults.
  • Deprecation Detection: Identifies models that are nearing or past their end-of-life.
  • Configuration Validation: Checks for version mismatches and incorrect model routing for specific tasks.
  • Reporting: Generates a model-currency-report.md detailing findings and required actions.
  • Use Case: Before running a critical AI-driven analysis, you can trigger this skill to ensure that the models being used are the latest approved versions, preventing potential errors or suboptimal results.

Quick Start

Run the model currency check to audit our AI model configurations.

Frequently Asked Questions about model-currency-checker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check for deprecated AI models in my configuration?

You can run a model audit to check for deprecated AI models by comparing your configured AI models against approved defaults, detecting version mismatches and routing misconfigurations, and generating a model-currency-report.md.

What is AI model configuration validation and when do I need it?

AI model configuration validation is the process of verifying that selected models match approved versions and routing rules. You need it before running critical AI-driven analysis to prevent unexpected failures, suboptimal results, and increased costs.

Can I audit AI models configured in .env files?

Yes, you can audit AI models configured in .env files. The audit reads directly from .env files and programmatic model configurations to validate model selection discipline against approved defaults.

How do I generate a report of outdated AI models?

To generate a report of outdated AI models, trigger a model currency check using phrases like "check models" or "model audit". This produces a model-currency-report.md file detailing findings, deprecations, and required actions.

What's the best way to prevent using misconfigured AI models?

The best way to prevent using misconfigured AI models is to perform regular model auditing that validates configurations against approved defaults, checking for version mismatches and incorrect model routing before executing critical AI tasks.