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 OrcaQubits/agentic-commerce-skills-plugins --skill acp-product-feedgit clone --depth 1 https://github.com/OrcaQubits/agentic-commerce-skills-pluginsWrote 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/orcaqubits/agentic-commerce-skills-plugins/acp-product-feed)<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/acp-product-feed"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/acp-product-feed/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/orcaqubits/agentic-commerce-skills-plugins/acp-product-feed"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/acp-product-feed.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00045 | $0.00720 |
| Opus 5 | $0.00023 | $0.00360 |
| Sonnet 5 | $0.00009 | $0.00144 |
| Haiku 4.5 | $0.00005 | $0.00072 |
Grade A, and why
acp-product-feed 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 10d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ACP Product Feed
Before writing code
Fetch live docs: Fetch https://developers.openai.com/commerce/product-feeds/spec for the exact feed field specifications, supported formats, required vs optional fields, and submission endpoint.
Also web-search site:developers.openai.com commerce feed for any updates to feed requirements.
Conceptual Architecture
What Product Feeds Do
ACP uses a push model for product discovery. Merchants generate structured product data files and push them to the agent platform's ingestion endpoint. The agent (ChatGPT) indexes this data to surface products in conversational shopping.
Feed Formats
Four supported formats:
- CSV — Comma-separated, with header row
- JSON — Array of product objects
- XML — Structured product elements
- TSV — Tab-separated, with header row
Feed Fields (~40+ fields across 15 categories)
Key field categories include:
- Identification — Product ID, title, brand, SKU, GTIN/UPC/EAN
- Pricing — Price, sale price, currency, price effective dates
- Media — Image URLs, additional images, product page URL
- Fulfillment — Availability, shipping info, condition, fulfillment type
- Attributes — Category, description, color, size, material, gender, age group, custom attributes
- Eligibility —
is_eligible_search(controls ChatGPT search visibility),is_eligible_checkout(controls ChatGPT checkout visibility) — both are critical required fields - Seller Info —
seller_name,seller_url,target_countries,store_country— required fields identifying the merchant and market
Refresh Frequency
Feeds can be refreshed up to every 15 minutes. Merchants should refresh more frequently for volatile data (pricing, stock) and less frequently for static data (descriptions, images).
Key Concepts
- Product variants — Size/color/material variants are separate feed entries linked by a group ID
- Availability signals —
in_stock,out_of_stock,pre_order,backorder,unknown - Price formatting — Check feed spec for exact format (may differ from checkout's integer minor units)
- Image requirements — Minimum resolution, accepted formats, primary vs additional images
- Category taxonomy — Standard category paths for product classification
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.
- 10d ago First seen · 70 lines · 45 tokens per session scan A 2a1629ee58fb
acp-product-feed is a skill published in the GitHub repository OrcaQubits/agentic-commerce-skills-plugins (39 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 720 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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