Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add carsxe/carsxe-mcp-server --skill year-make-modelgit clone --depth 1 https://github.com/carsxe/carsxe-mcp-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/carsxe/carsxe-mcp-server/year-make-model)<a href="https://agentmods.dev/skills/carsxe/carsxe-mcp-server/year-make-model"><img src="https://agentmods.dev/badge/skills/carsxe/carsxe-mcp-server/year-make-model/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/carsxe/carsxe-mcp-server/year-make-model"><img src="https://agentmods.dev/badge/skills/carsxe/carsxe-mcp-server/year-make-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.00241 |
| Opus 5 | $0.00028 | $0.00120 |
| Sonnet 5 | $0.00011 | $0.00048 |
| Haiku 4.5 | $0.00006 | $0.00024 |
Grade A, and why
year-make-model scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Year make model
Use the CarsXE MCP tool get_year_make_model. Auth is client-managed (API key or OAuth); do not embed secrets in plugin config.
Tool
- Name:
get_year_make_model - Required:
year— manufacturing year (e.g.2023) - Required:
make— vehicle make (e.g.Toyota) - Required:
model— vehicle model (e.g.Camry) - Optional:
trim— vehicle trim (e.g.XLE)
When to use
- Specs, colors, features, options, or packages when only year/make/model is known
- Trim-specific questions without a VIN
Notes
- This tool is YMM-based, not VIN-based.
- Pass
trimonly when the user specifies one.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 27 lines · 55 tokens per session scan A 9a28468bc316
year-make-model is a skill published in the GitHub repository carsxe/carsxe-mcp-server (0 stars, last pushed 2d ago), licensed MIT. It adds 55 tokens to every session and 241 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
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