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 plate-image-recognitiongit 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/plate-image-recognition)<a href="https://agentmods.dev/skills/carsxe/carsxe-mcp-server/plate-image-recognition"><img src="https://agentmods.dev/badge/skills/carsxe/carsxe-mcp-server/plate-image-recognition/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/plate-image-recognition"><img src="https://agentmods.dev/badge/skills/carsxe/carsxe-mcp-server/plate-image-recognition.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 | $0.00045 | $0.00193 |
| Opus 5 | $0.00023 | $0.00097 |
| Sonnet 5 | $0.00009 | $0.00039 |
| Haiku 4.5 | $0.00005 | $0.00019 |
Grade A, and why
plate-image-recognition 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
Plate image recognition
Use the CarsXE MCP tool read_license_plate_from_image. Auth is client-managed (API key or OAuth); do not embed secrets in plugin config.
Tool
- Name:
read_license_plate_from_image - Required:
imageUrl— direct URL to an image of a vehicle license plate
When to use
- User has a photo URL and wants the plate number
- First step before
decode_license_platewhen only an image is available
Notes
imageUrlmust be a direct image URL.- After recognition, call
decode_license_platewith the plate, state, and country if the user provides them.
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 · 24 lines · 45 tokens per session scan A dad50984db80
plate-image-recognition is a skill published in the GitHub repository carsxe/carsxe-mcp-server (0 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 193 once invoked, about $0.0002 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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