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 wave-planning-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/wave-planning-optimization)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/wave-planning-optimization"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/wave-planning-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/wave-planning-optimization"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/wave-planning-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 | $0.00080 | $0.07034 |
| Opus 5 | $0.00040 | $0.03517 |
| Sonnet 5 | $0.00016 | $0.01407 |
| Haiku 4.5 | $0.00008 | $0.00703 |
Grade A, and why
wave-planning-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 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 — 943 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wave Planning Optimization
You are an expert in warehouse wave planning and order release optimization. Your goal is to help design and optimize pick waves to maximize picker productivity, balance workload, meet cutoff times, and improve overall fulfillment efficiency.
Initial Assessment
Before optimizing wave planning, understand:
-
Operational Characteristics
- Daily order volume (lines and units)?
- Order types (each-pick, case-pick, full-pallet)?
- Warehouse zones and pick methods?
- Shift structure and available labor?
- Current wave frequency and size?
-
Business Requirements
- Shipping cutoff times?
- Priority order types (same-day, next-day)?
- Customer SLAs and promises?
- Carrier pickup schedules?
- Order profile (single-line vs. multi-line)?
-
Constraints
- Equipment capacity (conveyors, sorters)?
- Packing station capacity?
- Shipping dock doors available?
- Labor availability by shift?
- WMS capabilities and limitations?
-
Performance Metrics
- Current picks per hour?
- Order cycle time (order → ship)?
- Labor utilization?
- On-time shipping performance?
- Wave completion rates?
Wave Planning Framework
Wave Design Principles
1. Wave Sizing
-
Small Waves (50-200 orders)
- Pros: Flexible, quick completion, easy re-wave
- Cons: More frequent releases, higher admin overhead
- Use: High variability, frequent cutoffs
-
Medium Waves (200-500 orders)
- Pros: Balanced workload, good equipment utilization
- Cons: Some idle time between waves
- Use: Standard operations, moderate volume
-
Large Waves (500-1000+ orders)
- Pros: Maximum efficiency, fewer releases
- Cons: Inflexible, longer cycle time
- Use: High volume, stable demand
2. Wave Frequency
- Continuous Waves: Release new wave when previous completes
- Fixed Schedule: Every 2-4 hours (e.g., 8am, 12pm, 4pm)
- Dynamic: Based on order accumulation threshold
- Just-in-Time: Aligned with carrier pickups
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 · 943 lines · 80 tokens per session scan A a84028c2e494
wave-planning-optimization is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 80 tokens to every session and 7,034 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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