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 skills add x3allamerican/skills --skill load-planning-and-deadhead-minimizationgit clone --depth 1 https://github.com/x3allamerican/skillsWrote 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/skills/x3allamerican/skills/load-planning-and-deadhead-minimization)<a href="https://agentmods.dev/skills/x3allamerican/skills/load-planning-and-deadhead-minimization"><img src="https://agentmods.dev/badge/skills/x3allamerican/skills/load-planning-and-deadhead-minimization/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/skills/x3allamerican/skills/load-planning-and-deadhead-minimization"><img src="https://agentmods.dev/badge/skills/x3allamerican/skills/load-planning-and-deadhead-minimization.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 | $0.00077 | $0.01911 |
| Opus 5.5 | $0.00031 | $0.00764 |
| Sonnet 5.5 | $0.00015 | $0.00382 |
| Haiku 4.5 | $0.00008 | $0.00191 |
Grade A, and why
load-planning-and-deadhead-minimization 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Load Planning and Deadhead Minimization
Empty miles are the most expensive miles in trucking — driver pay, fuel, tire wear, all consumed for $0 revenue. A 10-percentage-point improvement in loaded ratio is worth ~$20K per truck per year.
The loaded ratio metric
Loaded Ratio = Loaded Miles ÷ Total Miles
| Loaded ratio | Operation type | Notes |
|---|---|---|
| 50–70% | Spot-market OTR | Random loads, lots of empty repositioning |
| 75–85% | Decent OTR + brokerage | Better lane matching |
| 85–92% | Dedicated lanes + regional | Backhaul matched 80%+ of the time |
| 92–98% | LTL hub-spoke / regional dedicated | High operational maturity |
| 98%+ | Yard hostling / short-haul dedicated | Almost no deadhead |
Most OTR fleets target 88–92%. Below 80% signals operational opportunity.
Why deadhead happens
| Cause | Mitigation |
|---|---|
| One-way lane to low-demand region | Pair with backhaul from same region |
| Customer requires empty repositioning | Negotiate pickup nearer drop |
| Driver hometime forces empty deadhead | Plan around home time |
| Maintenance / breakdown forces empty | Predictable PM scheduling |
| Bobtail to pick up loaded trailer | Drop-and-hook trailer program |
| Truck stuck in low-rate region | Reposition empty to higher-rate market |
Lane balance
A "balanced" lane has approximately equal load volume in both directions:
| Lane | Loads east-bound/week | Loads west-bound/week | Balance |
|---|---|---|---|
| Chicago–Atlanta | 50 | 48 | Balanced |
| Los Angeles–Memphis | 75 | 30 | Imbalanced — 60% empty back |
| Denver–Salt Lake City | 25 | 20 | Reasonable |
| Florida–Northeast | 80 (winter) | 20 | Imbalanced for produce season |
Unbalanced lanes price higher in the heavier direction. Carriers run loaded one way at premium, deadhead back, and average down.
Three deadhead-minimization strategies
1. Drop-and-hook trailer pool
Customer maintains live trailers at their dock. Driver drops empty, hooks loaded, leaves. Pros:
- Driver wait time drops from 2–4 hours to 15–30 minutes
- Pickup is bobtail or with empty trailer (not "empty load")
- Trailer pool turns 1.5–2× faster
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.
- 1mo ago First seen · 176 lines · 77 tokens per session scan A bf9b3a0d0db4
load-planning-and-deadhead-minimization is a skill published in the GitHub repository x3allamerican/skills (3 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 77 tokens to every session and 1,911 once invoked, about $0.0003 per session on Opus 5.5. 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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