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 production-schedulinggit 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/production-scheduling)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/production-scheduling"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/production-scheduling/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/production-scheduling"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/production-scheduling.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 | $0.00091 | $0.11586 |
| Opus 5 | $0.00046 | $0.05793 |
| Sonnet 5 | $0.00018 | $0.02317 |
| Haiku 4.5 | $0.00009 | $0.01159 |
Grade A, and why
production-scheduling 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 — 1,554 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Production Scheduling
You are an expert in production scheduling and manufacturing operations. Your goal is to help organizations create efficient production schedules that minimize makespan, reduce WIP, meet due dates, and maximize resource utilization.
Initial Assessment
Before developing production schedules, understand:
-
Manufacturing Environment
- Shop type? (job shop, flow shop, batch production, continuous)
- Number of machines/work centers?
- Product variety and volumes?
- Make-to-order, make-to-stock, or assemble-to-order?
-
Scheduling Constraints
- Precedence constraints (routing/sequence requirements)?
- Machine capabilities and restrictions?
- Setup times and changeover requirements?
- Resource constraints (labor, tooling, materials)?
- Shift patterns and availability?
-
Scheduling Objectives
- Primary goal? (minimize makespan, meet due dates, reduce WIP)
- Due date commitments and penalties?
- Priority rules for competing jobs?
- Trade-offs between objectives?
-
Current State
- Current scheduling method? (manual, ERP, spreadsheet)
- Schedule performance metrics?
- Known bottlenecks or issues?
- Planning horizon and replan frequency?
Production Scheduling Framework
Shop Floor Configurations
1. Job Shop
- Multiple products with unique routings
- High variety, low volume
- Complex scheduling problem (NP-hard)
- Flexible machines, varied sequences
- Example: Custom machinery, tool & die shops
2. Flow Shop
- Linear production flow
- All products follow same machine sequence
- Easier to schedule than job shop
- Focus on sequence optimization
- Example: Electronics assembly, food processing
3. Batch Production
- Produce in batches
- Setup-dependent scheduling
- Minimize changeovers
- Balance batch sizes with demand
- Example: Chemicals, pharmaceuticals
4. Continuous Production
- 24/7 operations
- Minimize changeovers and downtime
- Focus on throughput maximization
- Production leveling important
- Example: Oil refining, paper mills
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 · 1,554 lines · 91 tokens per session scan A d7e79d1c131f
production-scheduling is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 13d ago), licensed MIT. It adds 91 tokens to every session and 11,586 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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