year-make-model
SkillAI & modelsLook up vehicle data by Year, Make, and Model using the CarsXE YMM API. Use this when a user doesn't have a VIN but knows the year, make, and model of a vehicle and wants specs, trims, or features.
Use year-make-model in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add year-make-model and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the year-make-model skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/carsxe/carsxe-codex-plugin/skills/year-make-model/SKILL.md and read by Ahel’s review.
When the user wants to browse available years, makes, models, or trims (dropdowns, "which years was X sold"), use the ymm-options skill (/v1/ymm-options) instead of this specs lookup.
When the user asks about a vehicle by year, make, and model (without a VIN):
- Make an HTTP GET request to the CarsXE YMM API:
Only includeGET https://api.carsxe.com/v1/ymm?key={CARSXE_API_KEY}&year={YEAR}&make={MAKE}&model={MODEL}&source=codex_plugin[&trim={TRIM}]trimif the user specified one. - Present available trims, engine options, features, and specs.
- If the user didn't specify a trim, list all available trims for that year/make/model.
- If the API key is missing, tell the user to set the
CARSXE_API_KEYenvironment variable (see AGENTS.md).
Signals
- GitHub stars
- 1k
- Forks
- 316
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
year-make-model- Source
- github.com/hashgraph-online/awesome-codex-plugins
github.com/hashgraph-online/awesome-codex-plugins
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