Does this tool track Plug-in Hybrids (PHEVs)?

No, this skill focuses exclusively on Battery Electric Vehicles (BEVs) because PHEVs follow different depreciation curves and market dynamics.

How does the skill handle models with low sales volume?

The skill includes a safety check that flags any model with fewer than 10 sold units as 'Low Confidence' to prevent skewed risk assessments based on small samples.

Is this skill compatible with markets outside the US?

Currently, the EV Lending Risk Monitor is designed specifically for US markets as it relies on US-only sold data for its primary workflow.

Does it account for federal EV tax credits?

Yes, the skill includes context regarding tax credit distortions, noting that price drops may be due to credit pass-throughs rather than poor residual value.

EV Lending Risk Monitor

Name: EV Lending Risk Monitor
Author: MarketcheckHub

byMarketcheckHub

•

Analíticas y Monitorización

Analyzes electric vehicle market dynamics and residual values to help lender sales reps manage risk and advise dealers.

The EV Lending Risk Monitor is a specialized tool for lender sales representatives that provides deep intelligence into the battery electric vehicle (BEV) market. By processing real-time automotive data, the skill generates state-specific scorecards comparing EV performance to traditional internal combustion engines, identifying high-risk segments, and ranking specific models by residual strength. It is designed to facilitate informed lending decisions and enable data-driven sales conversations between lenders and dealerships regarding inventory financing and risk management.

Características Principales

01Sample size validation to flag low-confidence metrics in smaller markets

02Automated EV vs. ICE pricing benchmarks and segment comparisons

03Data-driven sales talking points for dealer consultations

04Model-specific residual value ranking (Safe, Standard, or Avoid tiers)

05State-level EV market penetration and supply health metrics

062 GitHub stars

Casos de Uso

01Determining appropriate advance rates and LTV for specific EV models

02Evaluating dealership inventory risk based on EV depreciation trends

03Providing market intelligence briefings to automotive dealer groups

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add marketcheckhub/marketcheck-cowork-plugin ev-lending-risk-monitor

For use in Claude.ai and ChatGPT

Características Principales

01Sample size validation to flag low-confidence metrics in smaller markets

02Automated EV vs. ICE pricing benchmarks and segment comparisons

03Data-driven sales talking points for dealer consultations

04Model-specific residual value ranking (Safe, Standard, or Avoid tiers)

05State-level EV market penetration and supply health metrics

062 GitHub stars

Casos de Uso

01Determining appropriate advance rates and LTV for specific EV models

02Evaluating dealership inventory risk based on EV depreciation trends

03Providing market intelligence briefings to automotive dealer groups

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add marketcheckhub/marketcheck-cowork-plugin ev-lending-risk-monitor

For use in Claude.ai and ChatGPT