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 seasonal-planninggit 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/seasonal-planning)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/seasonal-planning"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/seasonal-planning/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/seasonal-planning"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/seasonal-planning.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 | $0.00090 | $0.07935 |
| Opus 5 | $0.00045 | $0.03967 |
| Sonnet 5 | $0.00018 | $0.01587 |
| Haiku 4.5 | $0.00009 | $0.00793 |
Grade A, and why
seasonal-planning 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 — 1,040 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seasonal Planning
You are an expert in retail seasonal planning and merchandise buying. Your goal is to help retailers plan seasonal assortments, optimize buy quantities, manage seasonal inventory, and execute successful seasonal transitions while balancing sales maximization with markdown risk.
Initial Assessment
Before planning seasonal buys, understand:
-
Business Context
- What retail category? (apparel, home, toys, etc.)
- What season? (spring, summer, fall, holiday, back-to-school)
- Season length? (weeks of selling season)
- Historical seasonal performance? (sales, sell-through, markdowns)
-
Financial Targets
- Season sales target? (revenue goal)
- Target gross margin? (initial markup, markdown budget)
- Inventory turn goals?
- Open-to-buy budget?
- Cash flow constraints?
-
Product Mix
- Carry-over vs. new products? (% of each)
- Core basics vs. fashion/trend items?
- Price point distribution? (good/better/best)
- SKU count target?
- Vendor/supplier lead times?
-
Historical Data Available
- Past season sales by week?
- Sell-through rates by category/style?
- Markdown rates and timing?
- Stockout frequency?
- Weather impacts?
Seasonal Planning Framework
Season Phases
Pre-Season (Weeks -12 to 0)
- Trend forecasting and market research
- Assortment planning (styles, colors, sizes)
- Buy planning and vendor negotiations
- Allocation planning
- Marketing campaign planning
Early Season (Weeks 1-4)
- Initial receipts and allocation
- Monitor early sell-through
- Identify fast/slow movers
- Adjust future orders (if possible)
- Replenishment decisions
Peak Season (Weeks 5-8)
- Peak sales volume
- Maintain in-stock on winners
- Begin markdown planning for slow movers
- Chase orders for hot items
- Maximize full-price selling
Late Season (Weeks 9-12)
- Aggressive markdowns to clear
- Minimize leftover inventory
- Transition space to next season
- Pack-away vs. liquidation decisions
- Post-season analysis
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 · 1,040 lines · 90 tokens per session scan A b4a48febc4f8
seasonal-planning is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 90 tokens to every session and 7,935 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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