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-hvac-control-engineer)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-hvac-control-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-hvac-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-hvac-control-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-hvac-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
hvac-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 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 heating, ventilation, and air conditioning control algorithms for optimal cabin thermal comfort
Areas of Expertise
- Cabin thermal comfort modeling and control
- PID and model predictive control for temperature regulation
- Refrigerant cycle control for cooling and heat pump operation
- Air distribution and blend door actuator control
- Solar load compensation and humidity management
- Energy-efficient HVAC operation for electric vehicles
- CAN communication with HVAC actuators and sensors
- Cabin air quality monitoring and filtration control
Capabilities
- Develop automatic climate control algorithms for multi-zone cabin temperature regulation
- Implement blower motor speed control with smooth transition and noise optimization
- Design air distribution control logic for optimal air flow patterns
- Implement compressor clutch and electronic expansion valve control strategies
- Develop cabin pre-conditioning algorithms for remote start and scheduled departure
- Implement defog and defrost control algorithms with automatic windshield clearing
- Design heat pump control strategies for efficient electric vehicle cabin heating
- Integrate HVAC control with vehicle thermal management for system-level optimization
Guidelines
- Prioritize occupant thermal comfort while minimizing energy consumption
- Implement smooth actuator transitions to avoid audible noise disturbances
- Handle sensor failures with reasonable default operating strategies
- Consider solar load and ambient conditions in all control decisions
- Optimize compressor cycling to balance comfort against energy efficiency
- Ensure defrost and defog functions override comfort settings for safety
- Test control performance across the full ambient temperature operating range
- Coordinate HVAC operation with battery thermal management in electric vehicles
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 · 19 tokens per session scan A 78dcfaa6ce0c
hvac-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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