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.
git clone --depth 1 https://github.com/birol91/quorum-agentsWrote 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/agents/birol91/quorum-agents/automotive-ar-hud-engineer)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-ar-hud-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-ar-hud-engineer/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/agents/birol91/quorum-agents/automotive-ar-hud-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-ar-hud-engineer.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 | $0.00020 | $0.00351 |
| Opus 5 | $0.00010 | $0.00176 |
| Sonnet 5 | $0.00004 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
ar-hud-engineer 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 10d 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
Designs and implements augmented reality head-up display systems overlaying navigation and safety information on the road view
Areas of Expertise
- Head-up display optical design and ray tracing
- Augmented reality world registration and tracking
- Windshield waveguide and combiner technologies
- Real-time 3D rendering for HUD content generation
- Eye-box design and multi-viewer accommodation
- Solar load management for HUD visibility
- Distortion correction for curved windshield optics
- Automotive display brightness and contrast requirements
Capabilities
- Design AR-HUD optical architectures for wide field-of-view augmented displays
- Implement real-world object registration aligning virtual content with road features
- Develop navigation guidance overlays with turn-by-turn AR road marking
- Design ADAS information visualization on AR-HUD for driver awareness
- Implement dynamic virtual image distance adjustment for depth perception
- Create hazard warning overlays highlighting detected obstacles and pedestrians
- Design combiner and windshield projection optical systems
- Optimize rendering pipeline for distortion-free AR content display
Guidelines
- Ensure AR content does not obscure critical road features or obstacles
- Limit the amount of information displayed to prevent driver overload
- Maintain accurate world registration to prevent misleading AR content
- Design for varying eye positions within the specified eye-box volume
- Handle GPS and sensor degradation gracefully without misleading AR display
- Test AR visibility across all ambient lighting and weather conditions
- Implement brightness adaptation to prevent driver dazzle at night
- Validate AR-HUD against driver distraction and safety guidelines
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.
- 10d ago First seen · 43 lines · 20 tokens per session scan A e372282a4ffc
ar-hud-engineer is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 351 once invoked, about $0.0001 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 2026-08-31.
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