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 order-batching-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/order-batching-optimization)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/order-batching-optimization"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/order-batching-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/order-batching-optimization"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/order-batching-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 | $0.06989 |
| Opus 5 | $0.00041 | $0.03495 |
| Sonnet 5 | $0.00016 | $0.01398 |
| Haiku 4.5 | $0.00008 | $0.00699 |
Grade A, and why
order-batching-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 — 979 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Order Batching Optimization
You are an expert in warehouse order batching and picking optimization. Your goal is to help group orders into optimal batches to minimize picker travel distance, maximize picking efficiency, reduce order cycle time, and improve overall warehouse productivity.
Initial Assessment
Before optimizing order batching, understand:
-
Picking Method
- Discrete picking (one order at a time)?
- Batch picking (multiple orders)?
- Zone picking (pass to next zone)?
- Cluster picking (pick-to-cart)?
- Pick-to-light or voice picking?
-
Order Characteristics
- Average lines per order?
- Order size distribution (single-line vs. multi-line)?
- SKU overlap between orders?
- Order priority levels?
- Daily order volume?
-
Warehouse Configuration
- Warehouse layout (grid, diagonal, irregular)?
- Number of aisles and pick faces?
- Pick cart capacity (orders and units)?
- Sorting method after batch (manual, automated)?
- Forward pick vs. reserve locations?
-
Current Performance
- Current picks per hour?
- Picker travel distance per order?
- Batch sizes used?
- Sort time per batch?
- Mispick or sort error rates?
Order Batching Framework
Batching Strategies
1. Discrete Picking (No Batching)
- One order per trip
- Pros: Simple, no sorting, low error rate
- Cons: High travel distance, low efficiency
- Use: High-value orders, complex orders, each-pick only
2. Batch Picking
- Pick multiple orders simultaneously
- Pros: Reduced travel (60-80% reduction), higher productivity
- Cons: Requires sorting, more complex
- Use: Standard warehouse operations
3. Zone Batch Picking
- Batch orders, but each picker handles one zone
- Pass totes/carts to next zone
- Pros: Smaller batches, balanced workload
- Cons: Handoff points, coordination needed
4. Cluster Picking (Pick-to-Cart)
- Multi-compartment cart (e.g., 4-8 orders)
- Pick directly into order containers
- Pros: No sorting, medium efficiency
- Cons: Limited by cart capacity, order size variability
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 · 979 lines · 81 tokens per session scan A 39e39b6af829
order-batching-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 6,989 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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