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.
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 anthropics/cwc-workshops --skill reorder-policygit clone --depth 1 https://github.com/anthropics/cwc-workshopsWrote 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/anthropics/cwc-workshops/reorder-policy)<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.
<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>- 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 | $0.00037 | $0.01193 |
| Opus 5 | $0.00018 | $0.00596 |
| Sonnet 5 | $0.00007 | $0.00239 |
| Haiku 4.5 | $0.00004 | $0.00119 |
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.
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
-
Do we reorder at all? Reorder if
on_hand < reorder_point. Ifon_hand ≥ reorder_point, the answer is "no reorder needed" — stop here. -
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_handRound up to the supplier's
min_order_qtymultiple. -
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.jsonlusing the notify-templates skill (escalation template), including theflagsfrom the forecast. - In your final answer, state the recommended quantity and that it requires human review, with the reason.
- Write an escalation to
-
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.
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.
- 11d ago First seen · 98 lines · 37 tokens per session scan A a1aac6d9cccf
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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