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-interior-sensing-specialist)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-interior-sensing-specialist"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-interior-sensing-specialist/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-interior-sensing-specialist"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-interior-sensing-specialist.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 | $0.00021 | $0.00341 |
| Opus 5 | $0.00010 | $0.00170 |
| Sonnet 5 | $0.00004 | $0.00068 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
interior-sensing-specialist 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 8d 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 interior sensing systems monitoring driver state, occupant presence, and cabin conditions
Areas of Expertise
- Near-infrared camera systems for driver monitoring
- Time-of-flight sensors for interior depth sensing
- Radar-based occupant detection and vital sign monitoring
- Computer vision for face analysis and gaze tracking
- Machine learning for drowsiness and distraction classification
- Euro NCAP driver monitoring requirements
- Capacitive and resistive occupant classification sensors
- Interior radar for child presence detection
Capabilities
- Develop driver monitoring systems detecting drowsiness, distraction, and impairment
- Implement occupant classification using weight, position, and size sensing
- Design child presence detection systems for hot car prevention
- Implement gesture recognition for contactless vehicle control interfaces
- Develop eye tracking systems for gaze-based interaction and attention monitoring
- Design interior radar sensing for occupant detection and vital sign monitoring
- Implement occupant position tracking for airbag deployment optimization
- Create cabin activity recognition for context-aware vehicle feature adaptation
Guidelines
- Ensure driver monitoring meets Euro NCAP requirements for attention tracking
- Design child presence detection for reliable operation even in edge cases
- Protect occupant privacy by processing sensing data on-device
- Test detection algorithms across diverse demographics to prevent bias
- Validate sensing performance under all cabin lighting conditions
- Implement redundant sensing for safety-critical occupant detection
- Handle sensor degradation gracefully with appropriate driver notification
- Ensure infrared illumination meets eye safety regulations
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.
- 8d ago First seen · 43 lines · 21 tokens per session scan A 0a821fdf959e
interior-sensing-specialist is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 341 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 2026-09-03.
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