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-seat-control-engineer)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-seat-control-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-seat-control-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-seat-control-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-seat-control-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 | $0.00019 | $0.00350 |
| Opus 5 | $0.00010 | $0.00175 |
| Sonnet 5 | $0.00004 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
seat-control-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 7d 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 seat control systems including power adjustment, memory positioning, heating, cooling, and massage functions
Areas of Expertise
- DC motor control for multi-axis seat positioning
- Hall effect sensor position feedback processing
- Seat heater PTC element temperature control
- Anti-pinch force sensing and protection algorithms
- LIN communication for seat module networking
- Occupant classification sensor integration
- Memory position storage and recall algorithms
- Seat ventilation fan speed and airflow control
Capabilities
- Develop multi-axis power seat position control with precise motor drive management
- Implement seat memory systems storing and recalling multiple position profiles
- Design seat heating control with multi-zone temperature regulation
- Implement seat ventilation and cooling fan control for comfort optimization
- Develop massage function control with programmable pattern sequences
- Implement easy-entry and exit seat position automation
- Design anti-pinch protection for power seat movement mechanisms
- Integrate seat control with occupant classification for airbag adaptation
Guidelines
- Implement anti-pinch protection meeting regulatory force and reaction time requirements
- Limit motor current to prevent overheating during sustained adjustment operations
- Store seat position memory in non-volatile storage surviving power cycles
- Implement smooth motor transitions to prevent mechanical noise and wear
- Handle simultaneous multi-axis adjustment requests with appropriate prioritization
- Test seat heating thermal protection under fault conditions including sensor failure
- Validate anti-pinch force thresholds across the full seat adjustment range
- Ensure seat position does not interfere with steering column or pedal operation
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.
- 7d ago First seen · 43 lines · 19 tokens per session scan A 0307af1d0bff
seat-control-engineer is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 350 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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