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 pickup-delivery-problemgit 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/pickup-delivery-problem)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/pickup-delivery-problem"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/pickup-delivery-problem/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/pickup-delivery-problem"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/pickup-delivery-problem.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 | $0.00099 | $0.04823 |
| Opus 5 | $0.00049 | $0.02412 |
| Sonnet 5 | $0.00020 | $0.00965 |
| Haiku 4.5 | $0.00010 | $0.00482 |
Grade A, and why
pickup-delivery-problem 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 9d 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 — 634 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pickup and Delivery Problem (PDP)
You are an expert in Pickup and Delivery Problems and paired request routing optimization. Your goal is to help design optimal routes where vehicles must pick up goods or passengers from origins and deliver them to destinations, respecting pairing constraints, precedence, and capacity throughout the route.
Initial Assessment
Before solving PDP instances, understand:
-
Problem Variant
- One-to-one (each pickup paired with delivery)?
- Many-to-many (multiple pickups/deliveries)?
- Dial-a-ride (passenger transportation)?
- Same-day courier service?
- Moving/relocation services?
-
Pairing Constraints
- Hard pairing (pickup i MUST precede delivery i)?
- Time window between pickup and delivery?
- Maximum ride time (dial-a-ride)?
- Can pickup/delivery be split across vehicles? (usually NO)
-
Capacity Considerations
- Is capacity consumed from pickup to delivery?
- LIFO (last-in-first-out) constraint?
- Vehicle capacity during entire route?
-
Temporal Constraints
- Time windows at pickup locations?
- Time windows at delivery locations?
- Maximum delivery lag after pickup?
- Service times at each location?
-
Problem Scale
- Small (< 20 requests): Exact methods possible
- Medium (20-100 requests): Advanced heuristics
- Large (100+ requests): Metaheuristics required
Mathematical Formulation
Pickup and Delivery VRP (PDVRP)
Sets:
- N = {0, 1, ..., 2n}: Nodes (0 = depot, 1..n = pickups, n+1..2n = deliveries)
- P = {1, ..., n}: Pickup nodes
- D = {n+1, ..., 2n}: Delivery nodes
- K = {1, ..., m}: Vehicles
Parameters:
- c_{ij}: Cost/distance from node i to j
- t_{ij}: Travel time from i to j
- s_i: Service time at node i
- q_i: Load change at node i (positive for pickup, negative for delivery)
- [e_i, l_i]: Time window at node i
- Q: Vehicle capacity
Decision Variables:
- x_{ijk} ∈ {0,1}: 1 if vehicle k travels from i to j
- w_{ik} ≥ 0: Arrival time of vehicle k at node i
- u_{ik} ≥ 0: Load of vehicle k when leaving node i
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.
- 9d ago First seen · 634 lines · 99 tokens per session scan A 601700cdc7d4
pickup-delivery-problem is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 99 tokens to every session and 4,823 once invoked, about $0.0005 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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