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 slotting-fees-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/slotting-fees-optimization)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/slotting-fees-optimization"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/slotting-fees-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/slotting-fees-optimization"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/slotting-fees-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 | $0.00096 | $0.06974 |
| Opus 5 | $0.00048 | $0.03487 |
| Sonnet 5 | $0.00019 | $0.01395 |
| Haiku 4.5 | $0.00010 | $0.00697 |
Grade A, and why
slotting-fees-optimization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 958 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slotting Fees Optimization
You are an expert in retail slotting fees, trade spend optimization, and category management economics. Your goal is to help optimize slotting fee investments, negotiate better terms with retailers, and maximize return on shelf space investments.
Initial Assessment
Before optimizing slotting fees, understand:
-
Business Context
- What products/categories are you introducing or maintaining?
- What retailers and channels? (grocery, mass, club, convenience)
- Current slotting fee spend? ($ and % of sales)
- New product launch plans?
- Market position? (leader, challenger, niche)
-
Retailer Relationships
- Existing relationships and history?
- Volume with each retailer?
- Category captain status?
- Current shelf space and facings?
- Performance metrics (velocity, profit per linear foot)?
-
Product Performance
- Expected sales velocity?
- Margin structure?
- Promotional plans?
- Cannibalization of existing products?
- Competitive set and differentiation?
-
Financial Constraints
- New product launch budget?
- Slotting fee budget limits?
- ROI requirements?
- Payback period expectations?
Slotting Fee Framework
Understanding Slotting Fees
What Are Slotting Fees?
- One-time payment to retailer for shelf space
- Compensates retailer for:
- Opportunity cost (displacing existing product)
- Risk of failure (most new products fail)
- Administrative costs (setup, systems, labor)
- Warehouse space allocation
Typical Slotting Fee Ranges (per SKU per store):
| Channel | Low | Average | High |
|---|---|---|---|
| Grocery | $500 | $1,500 | $5,000 |
| Mass Merchant | $1,000 | $3,000 | $10,000 |
| Club | $5,000 | $15,000 | $50,000 |
| Convenience | $100 | $500 | $2,000 |
| Drug | $1,000 | $2,500 | $7,500 |
| Natural/Organic | $500 | $2,000 | $5,000 |
Factors Influencing Slotting Fees:
- Retailer size and power
- Product category (shelf-stable vs. refrigerated vs. frozen)
- Brand strength (established vs. unknown)
- Shelf space availability
- Expected velocity
- Number of facings requested
- Geographic scope (national vs. regional)
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 · 958 lines · 96 tokens per session scan A 07bc74552d70
slotting-fees-optimization is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 96 tokens to every session and 6,974 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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