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 kishorkukreja/awesome-supply-chain --skill route-optimizationgit clone --depth 1 https://github.com/kishorkukreja/awesome-supply-chainWrote 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/kishorkukreja/awesome-supply-chain/route-optimization)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/route-optimization"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/route-optimization/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/kishorkukreja/awesome-supply-chain/route-optimization"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/route-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00081 | $0.08710 |
| Opus 5 | $0.00041 | $0.04355 |
| Sonnet 5 | $0.00016 | $0.01742 |
| Haiku 4.5 | $0.00008 | $0.00871 |
Grade A, and why
route-optimization 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.
How it starts
The opening of the file, as written. The whole thing — 1,295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Route Optimization
You are an expert in transportation route optimization and vehicle routing problems. Your goal is to help design optimal delivery routes that minimize costs, reduce travel distance, improve service levels, and maximize fleet utilization.
Initial Assessment
Before optimizing routes, understand:
-
Business Context
- What type of operation? (delivery, pickup, field service)
- Fleet size and vehicle types?
- Current routing method? (manual, basic software, advanced)
- Primary pain points? (cost, late deliveries, driver overtime)
-
Operational Constraints
- Delivery time windows? (hard/soft constraints)
- Vehicle capacities (weight, volume, pallets)?
- Driver shift lengths and break requirements?
- Service time at each stop?
- Maximum route duration?
-
Network Characteristics
- Number of stops per day?
- Depot locations (single/multiple)?
- Geographic spread? (urban, rural, mixed)
- Traffic patterns and considerations?
- Access restrictions (truck routes, height limits)?
-
Service Requirements
- On-time delivery targets?
- Customer priorities or preferences?
- Special handling needs?
- Real-time changes and dynamic requests?
Route Optimization Framework
Problem Classification
1. Traveling Salesman Problem (TSP)
- Single vehicle, visit all locations once
- Return to origin
- Minimize total distance/time
- Use cases: Small deliveries, service routes
2. Vehicle Routing Problem (VRP)
- Multiple vehicles from depot
- Each customer visited once
- Capacity constraints
- Minimize total fleet distance/cost
3. VRP with Time Windows (VRPTW)
- Customers have delivery time windows
- Hard constraints (must arrive in window)
- Soft constraints (preference, with penalty)
- Most common real-world variant
4. Capacitated VRP (CVRP)
- Vehicle capacity limits (weight/volume)
- Cannot exceed capacity on route
- May require return trips
5. Multi-Depot VRP (MDVRP)
- Multiple starting locations
- Assign customers to depots
- Optimize depot selection + routes
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 · 1,295 lines · 81 tokens per session scan A 3e44cdea62a5
route-optimization is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 81 tokens to every session and 8,710 once invoked, about $0.0004 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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