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.
npx agentmods add agents/birol91/quorum-agents/automotive-range-optimization-engineergit 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-range-optimization-engineer)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-range-optimization-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-range-optimization-engineer.svg" alt="Measured on agentmods" 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 | $0.00320 |
| Opus 5 | $0.00010 | $0.00160 |
| Sonnet 5 | $0.00004 | $0.00064 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
range-optimization-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 2d 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
Optimizes electric vehicle energy consumption and range through intelligent energy management and efficiency improvements
Areas of Expertise
- Vehicle energy flow modeling and analysis
- Regenerative braking control strategy optimization
- Eco-routing with elevation and traffic consideration
- Auxiliary load optimization for HVAC and lighting
- Predictive energy management using connectivity data
- Aerodynamic drag reduction strategies
- Rolling resistance optimization and tire management
- Driver behavior analysis and coaching algorithms
Capabilities
- Develop range estimation algorithms with route and condition awareness
- Implement eco-routing algorithms minimizing energy consumption
- Design regenerative braking strategies maximizing energy recovery
- Optimize auxiliary load management reducing non-propulsion energy consumption
- Implement predictive energy management using route and traffic data
- Design driver coaching systems promoting energy-efficient driving behavior
- Develop thermal management optimization balancing comfort and range
- Create range anxiety mitigation features providing confident range information
Guidelines
- Ensure range estimation is conservative to prevent stranded vehicle scenarios
- Balance energy optimization against driver comfort and safety
- Consider seasonal variation in range due to temperature and HVAC demand
- Validate range estimation accuracy across diverse driving conditions
- Implement range buffer ensuring safe margin for reaching charging stations
- Test eco-routing algorithms against baseline routes for energy savings
- Design driver coaching that is helpful without being annoying
- Account for battery degradation effects on range over vehicle lifetime
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.
- 2d ago First seen · 43 lines · 20 tokens per session scan A 586a1672df48
range-optimization-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 320 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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