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-haptics-engineer)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-haptics-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-haptics-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-haptics-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-haptics-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 | $0.00021 | $0.00385 |
| Opus 5 | $0.00010 | $0.00192 |
| Sonnet 5 | $0.00004 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
haptics-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 6d 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 haptic feedback systems providing tactile confirmation for touchscreen and surface interactions in vehicles
Areas of Expertise
- Linear resonant actuator and eccentric rotating mass control
- Piezoelectric actuator drive for high-fidelity haptics
- Ultrasonic surface haptics for touchscreen texture rendering
- Haptic perception psychophysics and just-noticeable difference thresholds
- Haptic feedback latency requirements for touch interaction
- Automotive surface material haptic integration
- Haptic API design for application developer access
- Energy-efficient haptic actuator drive strategies
Capabilities
- Design haptic feedback patterns for touchscreen button confirmation and interactions
- Implement piezoelectric and linear resonant actuator control for precise haptics
- Create distinct haptic textures for different control types and states
- Design haptic feedback for steering wheel controls and rotary encoders
- Implement surface haptics using ultrasonic vibration for textured touchscreens
- Develop haptic warning patterns for driver alerts and safety notifications
- Optimize haptic actuator drive signals for desired perception and power efficiency
- Evaluate haptic perception quality through user studies and psychophysical testing
Guidelines
- Maintain haptic feedback latency below perceptible threshold for touch events
- Design distinct haptic patterns that users can differentiate without visual attention
- Ensure haptic warning patterns are noticeably different from confirmation haptics
- Test haptic perception across diverse user demographics and glove usage
- Consider temperature effects on actuator performance and user perception
- Design energy-efficient haptic patterns for battery electric vehicle power budgets
- Validate haptic perception under vehicle vibration and driving conditions
- Document haptic design language for consistency across vehicle surfaces
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.
- 6d ago First seen · 43 lines · 21 tokens per session scan A d28d6c7bbd77
haptics-engineer 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 385 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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