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 quarkusio/quarkus-workshop-langchain4j --skill vehicle-selectiongit clone --depth 1 https://github.com/quarkusio/quarkus-workshop-langchain4jWrote 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/quarkusio/quarkus-workshop-langchain4j/vehicle-selection)<a href="https://agentmods.dev/skills/quarkusio/quarkus-workshop-langchain4j/vehicle-selection"><img src="https://agentmods.dev/badge/skills/quarkusio/quarkus-workshop-langchain4j/vehicle-selection/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/quarkusio/quarkus-workshop-langchain4j/vehicle-selection"><img src="https://agentmods.dev/badge/skills/quarkusio/quarkus-workshop-langchain4j/vehicle-selection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00025 | $0.00303 |
| Opus 5.5 | $0.00010 | $0.00121 |
| Sonnet 5.5 | $0.00005 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
vehicle-selection 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 1mo 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
Vehicle Selection Guidance
By Trip Type
- Family: Prioritize space over style. An MPV or 7-seat SUV fits car seats, luggage, and restless passengers. Automatic gearbox is strongly preferred — manual clutch work in Alpine traffic or Italian city centres is fatiguing with children.
- Adventure: Ground clearance matters more than engine power. A compact SUV handles most classified mountain roads. Full 4WD is only necessary for unclassified tracks, winter Alpine passes, and Norwegian fjord roads outside summer.
- Business: Comfort over capability. Executive sedan (BMW 5 Series class) for client-facing trips; a well-specced compact for solo city-hopping. Diesel for motorway-heavy legs over 400 km/day.
By Group Size
- 1–2 travelers: compact, compact SUV, or convertible for scenic routes
- 3–4 travelers: estate or compact SUV
- 5+ travelers: MPV or 7-seat SUV; consider two vehicles for 7+
Key Rules
- Always recommend automatic gearbox for city-heavy itineraries and mountain destinations.
- 4WD adds cost (roughly €15–25/day). Only recommend it when terrain genuinely requires it.
- Full electric vehicles are only practical on well-serviced corridors. Avoid recommending EV for rural Southern or Eastern Europe routes.
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.
- 1mo ago First seen · 22 lines · 25 tokens per session scan A 4e8f51c91d83
vehicle-selection is a skill published in the GitHub repository quarkusio/quarkus-workshop-langchain4j (112 stars, last pushed yesterday), licensed Apache-2.0. It adds 25 tokens to every session and 303 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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