agentic-commerce-query-shopping-agents

agentic-commerce-query-shopping-agents is a skill for Claude Code from commerce-agentic/agentic-commerce-skills. It costs 51 tokens per session (1,231 once invoked), scanned A, original, MIT.

A skill that sends one shopping question to five AI assistants and returns the products each assistant recommends and how they rank them.

In plain words
What is it for?
Use it to measure how products appear in AI shopping results and compare their visibility with competing products.
Why use it?
It provides comparable results across assistants instead of relying on a single assistant’s recommendations.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument; mentions Claude Code; mentions Codex.

Part of the agentic-commerce-skills plugin — 8 skills shipped together

Good fit Use it to measure how products appear in AI shopping results and compare their visibility with competing products.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/commerce-agentic/agentic-commerce-skills/agentic-commerce-query-shopping-agents
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 commerce-agentic/agentic-commerce-skills --skill agentic-commerce-query-shopping-agents
Clone the repo
git clone --depth 1 https://github.com/commerce-agentic/agentic-commerce-skills

Made for: Claude Code.

Or install agentic-commerce-skills, the plugin that ships this one along with the rest of its 8 skills.

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 agentic-commerce-query-shopping-agents

README.md
[![agentmods](https://agentmods.dev/badge/skills/commerce-agentic/agentic-commerce-skills/agentic-commerce-query-shopping-agents/github.svg)](https://agentmods.dev/skills/commerce-agentic/agentic-commerce-skills/agentic-commerce-query-shopping-agents)
Your own site
<a href="https://agentmods.dev/skills/commerce-agentic/agentic-commerce-skills/agentic-commerce-query-shopping-agents"><img src="https://agentmods.dev/badge/skills/commerce-agentic/agentic-commerce-skills/agentic-commerce-query-shopping-agents/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 agentic-commerce-query-shopping-agents

Your own site · 80×15
<a href="https://agentmods.dev/skills/commerce-agentic/agentic-commerce-skills/agentic-commerce-query-shopping-agents"><img src="https://agentmods.dev/badge/skills/commerce-agentic/agentic-commerce-skills/agentic-commerce-query-shopping-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,231 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 $0.00051 $0.01231
Opus 5 $0.00026 $0.00616
Sonnet 5 $0.00010 $0.00246
Haiku 4.5 $0.00005 $0.00123

Measured 12d ago against content hash 931564546897, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

agentic-commerce-query-shopping-agents 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 12d 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.

skills/multi-agent-visibility/agentic-commerce-query-shopping-agents/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

The signature skill of the agentic-commerce-skills library. Sends a single shopping query to 5 AI shopping agents in parallel (ChatGPT, Gemini, Claude, Mistral, DeepSeek) and returns each agent's ranked product recommendations.

This is what makes AI catalog visibility measurable. Without cross-agent ground truth, "AI visibility" is a vibe; with it, it is a metric you can A/B test fixes against (see agentic-commerce-visibility-report).

Together with the Agentic Commerce Benchmarks dataset, this skill lets you measure where your products rank vs. competitors across the 6 most important AI shopping agents.

Prerequisites

API keys for the agents you want to query (each is optional; missing keys = that agent skipped):

  • ANTHROPIC_API_KEY — for Claude
  • OPENAI_API_KEY — for ChatGPT
  • GEMINI_API_KEY — for Gemini (free tier available, https://aistudio.google.com)
  • MISTRAL_API_KEY — for Mistral Le Chat
  • DEEPSEEK_API_KEY — for DeepSeek

Parameters

Parameter Type Required Default Description
query string yes Shopping query in natural language. Examples: "best winter jacket under $200 for hiking", "sustainable bamboo socks for sensitive skin"
agents array no all-configured Subset of agents to query: claude, chatgpt, gemini, mistral, deepseek. Skip with missing API keys.
vertical string no Hint to the agents about category: apparel, beauty, home, electronics, fitness, food, pets, baby, outdoor, gifts
price_ceiling float no Max price in USD (passed to agents in system prompt)
format string no human Output format: human or json
timeout_seconds integer no 60 Per-agent timeout

Workflow Steps

  1. Build the shared shopping prompt:
    You are a shopping recommendation assistant. Given the query below, provide a numbered list of 5-10 specific product recommendations.
    
    For each: brand + product name, approximate price, why you recommend it (1-2 sentences), and where to buy it (merchant/website).
    
    Format each recommendation as:
    1. **Brand ProductName** - $XX.XX
       Reason for recommendation.
       Available at: https://merchant.com/product-link
    
    Query: {query}
    {vertical and price ceiling hints if provided}
    

Read the full file on GitHub · 96 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. 12d ago First seen · 96 lines · 51 tokens per session scan A 931564546897

Subscribe to this mod's changes

agentic-commerce-query-shopping-agents is a skill published in the GitHub repository commerce-agentic/agentic-commerce-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 51 tokens to every session and 1,231 once invoked, about $0.0003 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 2026-08-31.

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