reorder-policy

reorder-policy is a skill for Claude Code from anthropics/cwc-workshops. It costs 37 tokens per session (1,193 once invoked), scanned A, original, Apache-2.0.

A restocking guide for deciding whether to reorder a product and how many units to buy. It uses stock on hand, recent sales, supplier delivery time, reorder points, and forecasts when future demand is affected by promotions or seasons.

In plain words
What is it for?
Use it for reorder recommendations, purchase orders, and questions about whether a product should be restocked.
Why use it?
It removes guesswork from purchase decisions and helps avoid ordering too late or buying an unsuitable quantity. A reorder point is the stock level at which replenishment should be considered.

Skill for Claude Code ✓ vendor

Written for Claude Code: installed under .claude/.

Good fit Use it for reorder recommendations, purchase orders, and questions about whether a product should be restocked.

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Install with agentmods
npx agentmods add skills/anthropics/cwc-workshops/reorder-policy
About the project

CWC Workshops is a collection of materials from Anthropic-run workshops on building and evaluating AI-assisted coding workflows. The workshops cover model selection, multi-agent systems, managed agents, and product development with coding agents. The catalogue entries are examples and teaching materials from those workflows.

anthropics/cwc-workshops · 2,051 stars · on GitHub

Install

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.

Any agent
npx skills add anthropics/cwc-workshops --skill reorder-policy
Clone the repo
git clone --depth 1 https://github.com/anthropics/cwc-workshops

Made for: Claude Code.

Wrote 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.

agentmods badge for reorder-policy

README.md
[![agentmods](https://agentmods.dev/badge/skills/anthropics/cwc-workshops/reorder-policy/github.svg)](https://agentmods.dev/skills/anthropics/cwc-workshops/reorder-policy)
Your own site
<a href="https://agentmods.dev/skills/anthropics/cwc-workshops/reorder-policy"><img src="https://agentmods.dev/badge/skills/anthropics/cwc-workshops/reorder-policy/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.

agentmods 80×15 button for reorder-policy

Your own site · 80×15
<a href="https://agentmods.dev/skills/anthropics/cwc-workshops/reorder-policy"><img src="https://agentmods.dev/badge/skills/anthropics/cwc-workshops/reorder-policy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,193 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.01193
Opus 5 $0.00018 $0.00596
Sonnet 5 $0.00007 $0.00239
Haiku 4.5 $0.00004 $0.00119

Measured 11d ago against content hash a1aac6d9cccf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

reorder-policy 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 11d 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.

agent-decomposition/.claude/skills/reorder-policy/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reorder Policy

This skill encodes StockPilot's reorder rules. Use it whenever you need to decide whether to reorder a SKU and how many units to order.

Inputs you need

Value Where to get it
on_hand Latest row for the SKU in /mnt/user/data/stock_levels.csv (sum across warehouses unless the task is warehouse-specific)
reorder_point /mnt/user/data/products.csv
avg_daily_sales Mean of units_sold over the last 14 days in /mnt/user/data/sales_history.csv
lead_time_days From the chosen supplier (see the supplier-selection skill)
forecast_qty, confidence, flags From the forecasting skill, only if the task looks forward more than 14 days or mentions a promo/season

Decision rules

  1. Do we reorder at all? Reorder if on_hand < reorder_point. If on_hand ≥ reorder_point, the answer is "no reorder needed" — stop here.

  2. How much? The target order quantity is 30 days of cover plus safety stock, minus what's already on hand:

    safety_stock = 1.5 × avg_daily_sales × lead_time_days
    order_qty    = (avg_daily_sales × 30) + safety_stock − on_hand
    

    Round up to the supplier's min_order_qty multiple.

  3. Confidence guard. If you obtained a forecast and confidence < 0.6, do not place a PO automatically. Instead:

    • Write an escalation to /mnt/user/sinks/outbox.jsonl using the notify-templates skill (escalation template), including the flags from the forecast.
    • In your final answer, state the recommended quantity and that it requires human review, with the reason.
  4. Expedite? If on_hand / avg_daily_sales < lead_time_days (you'll stock out before the order arrives), pick the supplier with the shortest lead time even if it's not the cheapest, and note "expedited" in the PO.

Worked example

SKU-0057: on_hand = 38, reorder_point = 120, avg_daily_sales = 18.2, chosen supplier lead_time_days = 7, min_order_qty = 50.

Read the full file on GitHub · 98 lines

Changes

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.

  1. 11d ago First seen · 98 lines · 37 tokens per session scan A a1aac6d9cccf

Subscribe to this mod's changes

reorder-policy is a skill published in the GitHub repository anthropics/cwc-workshops (2,051 stars, last pushed 14d ago), licensed Apache-2.0. It adds 37 tokens to every session and 1,193 once invoked, about $0.0002 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 2026-08-30.

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