supplier-selection

supplier-selection is a skill for Claude Code from anthropics/cwc-workshops. It costs 33 tokens per session (925 once invoked), scanned A, original, Apache-2.0.

A supplier-ranking procedure for choosing a vendor for a specific stock-keeping unit (SKU), using price, delivery time, and reliability data from CSV files.

In plain words
What is it for?
It helps compare suppliers, select the highest-scoring option, and prepare the information needed for a purchase order.
Why use it?
It replaces ad-hoc quote comparisons with a fixed calculation and tie-breaking order. This makes the choice repeatable and easier to check.

Skill for Claude Code ✓ vendor

Written for Claude Code: installed under .claude/.

Good fit It helps compare suppliers, select the highest-scoring option, and prepare the information needed for a purchase order.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anthropics/cwc-workshops/supplier-selection
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 · 2,290 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 supplier-selection
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 supplier-selection

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/anthropics/cwc-workshops/supplier-selection"><img src="https://agentmods.dev/badge/skills/anthropics/cwc-workshops/supplier-selection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 925 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 $0.00033 $0.00925
Opus 5.5 $0.00013 $0.00370
Sonnet 5.5 $0.00007 $0.00185
Haiku 4.5 $0.00003 $0.00093

Measured 2mo ago against content hash 0d4f991cb39d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

supplier-selection 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 2mo 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/supplier-selection/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Supplier Selection

Ranking suppliers is arithmetic, not judgment. Compute it in Python via code execution — do not reason about it in prose.

Method

For a given SKU:

  1. Read /mnt/user/data/supplier_catalog.csv and filter to rows matching the SKU. This gives you (supplier_id, unit_price, min_order_qty) for each candidate.
  2. Join with /mnt/user/data/suppliers.csv on supplier_id to get lead_time_days and reliability.
  3. Normalize price and lead time across the candidates (min-max to [0,1], where 0 is best). Reliability is already on [0,1] where higher is better.
  4. Score each candidate:
    score = 0.5 × (1 − norm_price) + 0.3 × (1 − norm_lead_time) + 0.2 × reliability
    
  5. Pick the highest score. Tie-breaks: lowest unit_price, then lowest lead_time_days, then alphabetical supplier_id.

Do this in code

Write and run a short Python script — don't call a tool per supplier, and don't compare quotes by describing them. Example shape:

import csv
sku = "SKU-0057"
catalog = [r for r in csv.DictReader(open("/mnt/user/data/supplier_catalog.csv")) if r["sku"] == sku]
suppliers = {r["supplier_id"]: r for r in csv.DictReader(open("/mnt/user/data/suppliers.csv"))}
# join, normalize, score, sort — print the winner as JSON

Supplier-specific overrides

These quirks are not in the catalog data. Apply them after computing the score; if one changes your pick, say so in the rationale.

Supplier Override
SUP-01 Cascade Distribution Orders >500 units need 48h notice or they auto-split into two shipments — add to lead-time math for large POs.
SUP-02 Alpine Wholesale Closed Dec 20 – Jan 3. POs in that window aren't acknowledged until Jan 4. Land holiday replenishment before Dec 15.
SUP-03 Backcountry Supply Co Two short-ships on Tents & Shelter this year. Prefer an alternate for that category if lead is comparable.
SUP-04 Sierra Outfitters Unlisted 3% price break at 250+ units. If recommended qty is 200–249, often worth rounding up.
SUP-05 Granite Gear Partners West-coast DC only. Add 2–3 days to catalog lead time for WH-EAST deliveries.
SUP-07 Ridgecrest Imports Import-only; lead times are port-congestion sensitive. Don't rely on stated lead for an urgent order.
SUP-09 Summit Source MOQ is enforced strictly — they reject (not round up) below-MOQ POs.
SUP-12 Trailhead Mercantile New on roster. Treat reliability as one notch lower than stated until 6 months of history.

Read the full file on GitHub · 71 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. 2mo ago First seen · 71 lines · 33 tokens per session scan A 0d4f991cb39d

Subscribe to this mod's changes

supplier-selection is a skill published in the GitHub repository anthropics/cwc-workshops (2,290 stars, last pushed 6d ago), licensed Apache-2.0. It adds 33 tokens to every session and 925 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

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