best-buy

best-buy is a skill for Claude Code, Codex from withoneai/one-agent-plugin. It costs 111 tokens per session (1,740 once invoked), scanned A, original, MIT.

An online and physical retailer for consumer electronics, appliances, accessories, and related services. Its One integration provides access to Best Buy products and stores.

In plain words
What is it for?
Use it to browse products, find stores, and support workflows involving delivery or store pickup. The available data is centered on Best Buy's catalog and locations.
Why use it?
It removes the need to manually look up product and store information or build a separate connection to Best Buy. Developers can use the integration to work with the retailer's data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to browse products, find stores, and support workflows involving delivery or store pickup. The available data is centered on Best Buy's catalog and locations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/withoneai/one-agent-plugin/best-buy
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 withoneai/one-agent-plugin --skill best-buy
Clone the repo
git clone --depth 1 https://github.com/withoneai/one-agent-plugin

Made for: Claude Code, Codex.

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 best-buy

README.md
[![agentmods](https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/best-buy.svg)](https://agentmods.dev/skills/withoneai/one-agent-plugin/best-buy)
Your own site
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/best-buy"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/best-buy.svg" alt="Measured on agentmods" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,740 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.
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 $0.00111 $0.01740
Opus 5 $0.00056 $0.00870
Sonnet 5 $0.00022 $0.00348
Haiku 4.5 $0.00011 $0.00174

Measured 4d ago against content hash b2d1218cc5c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

best-buy 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 4d 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.

platforms/one-best-buy/skills/best-buy/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Best Buy through One

Best Buy is a consumer electronics retailer that sells technology products and related services through its online store and physical locations, allowing customers to browse, purchase, and arrange delivery or pickup for devices, appliances, and accessories.

One exposes Best Buy through four MCP tools. The table below carries real action ids from One's knowledge base, so for a common operation you can skip search and go straight to reading the action's parameters.

How to run an action

  1. Find the action in the table below, or call search_one_platform_actions with platform best-buy if it is not listed.
  2. Call get_one_action_knowledge with the action id. Do this every time, including for actions in this table. The table gives you the id, not the parameters.
  3. Call execute_one_action with parameters copied from that knowledge.

Never guess a parameter name, a body field, or an enum value. The knowledge has the real schema, and a guessed field is either a 400 or a silent write of the wrong thing.

Before you start

Call list_one_integrations once and confirm Best Buy is connected. If it is missing, the user has not connected it: say so and point them at https://app.withone.ai rather than reaching for raw HTTP.

Each connection carries an access field. If it reports {"policy": "methods", "methods": ["GET"]} the agent is read-only here, so plan a read-only answer instead of attempting a write that will be refused.

Before a write

Creates, updates, deletes and sends land on a real Best Buy account and cannot be recalled. State the action and the specific target in one line before the first write in a task, and let the user stop you. Reads need no confirmation.

Actions

Products

Action Method Path Action id
Also Viewed Products for a Product GET /v1/products/{{sku}}/alsoViewed conn_mod_def::GMZix23paoA::OHgGPCOrTqWsnKkQj306mA
Complex Searches for Products GET /v1/products({{search}}) conn_mod_def::GMZix3IWVwg::96zqLOqZSRaeKciceQMn0Q
Get Also Bought Products for a Product GET /v1/products/{{sku}}/alsoBought conn_mod_def::GMZix4Flh4g::2dCyFPpVQk6FDI6KJ7SKaw
Get In-Store Availability for a Product GET /v1/products/{{sku}}/stores.json conn_mod_def::GMZiyJWBSoA::7HHx-HH1TWqdKEDzigfGLA
Get Trending Viewed Products GET /v1/products/trendingViewed(categoryId={{categoryId}}) conn_mod_def::GMZiyQLACsg::aZEnv5moQNua5SzYRrqhDw
Most Viewed Products GET /v1/products/mostViewed(categoryId={{categoryId}}) conn_mod_def::GMZiyGAMWsA::bLfgDZ0aQR6jlA4hpcAROQ
Return Selected Attributes for Products, Stores, or Categories GET /v1/products/{{sku}}.json conn_mod_def::GMZiyV82mtg::5p5Stq0_RQKojZ09CIAdBA
Search for Products by Multiple Attribute Values GET /v1/products({{query}}) conn_mod_def::GMZiyWOiTbA::dNkNkKeHTImSD-fBXZN9Yw
Viewed Ultimately Bought Products for a Product GET /v1/products/{{sku}}/viewedUltimatelyBought conn_mod_def::GMZiynvi8pg::rhSXpVE9RaKZ73vGH81ddg

Read the full file on GitHub · 97 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. 4d ago First seen · 97 lines · 0 tokens per session scan A b2d1218cc5c8

Subscribe to this mod's changes

best-buy is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 18d ago), licensed MIT. It adds 111 tokens to every session and 1,740 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

p-image-try-on

Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce.

PrunaAI/pruna-skills · 27 tokens

building-b2b

Build Celigo B2B Manager EDI integrations -- trading partner onboarding, EDI profiles, file definitions, X12/EDIFACT flow patterns, and transaction monitoring. Use when onboarding partners, editing EDI flows, setting up parsing rules, or monitoring document exchange.

celigo/ai · 60 tokens

ada-diamonds-api

Reference for the Ada Diamonds public REST API (https://www.adadiamonds.com/api/v1) covering every endpoint, self-serve API keys and OAuth 2.1 scopes, the public sandbox key, rate limits, error shapes, versioning, and working curl examples. Use when integrating with Ada Diamonds over HTTP, generating client code…

adadiamonds/agent-tools · 101 tokens

ada-diamonds-commerce

Overview of agentic checkout at Ada Diamonds, covering OpenAI Agentic Commerce Protocol (ACP) checkout sessions at https://www.adadiamonds.com/api/acp/checkoutsessions, the ACP product feed, Google Universal Commerce Protocol (UCP) discovery at /.well-known/ucp, sandbox behaviour, and the delegated Stripe…

adadiamonds/agent-tools · 110 tokens

ada-diamonds-mcp

Connect to the Ada Diamonds MCP servers (catalog at https://www.adadiamonds.com/mcp, documentation at https://www.adadiamonds.com/mcp/docs) from Claude Code, Claude Desktop, Cursor, ChatGPT, or any Streamable HTTP MCP client, and use their tools and resources well. Use when setting up an MCP connection to Ada…

adadiamonds/agent-tools · 98 tokens

ada-diamonds-shopping

Search Ada Diamonds' live lab grown diamond inventory, engagement ring settings, and fine jewelry, and quote a complete ring correctly (a setting plus a loose diamond, priced separately, in US dollars). Use when a shopper asks what a budget buys, wants a specific shape, carat, color, or clarity, asks for a ring or…

adadiamonds/agent-tools · 93 tokens