linkfox-amazon-store-catalog

Original：🇺🇸 English

Translated

6 scriptsChecked / no sensitive code detected

亚马逊店铺商品目录 Catalog（与 linkfox-amazon-store-auth / report / listings / pricing / orders / feeds 同系列），经 /spApi/developerProxy 调用 SP-API Catalog Items：v0 listCatalogCategories；v2022-04-01（默认）或 v2020-12-01 的 searchCatalogItems、getCatalogItem。当用户提到亚马逊目录、Catalog Items、listCatalogCategories、searchCatalogItems、getCatalogItem、按 ASIN 查目录、关键词搜商品目录、类目节点、includedData、summaries/images 时触发。

23installs

Sourcelinkfox-ai/linkfox-skills

Added on2026-07-04

NPX Install

npx skill4agent add linkfox-ai/linkfox-skills linkfox-amazon-store-catalog

SKILL.md Content

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Amazon 店铺 Catalog Items

本 skill 与 linkfox-amazon-store-auth
等同属 Amazon Store 系列：先 POST /spApi/storeTokens
，再 POST /spApi/developerProxy
转发 GET。

官方参考索引

能力	文档
listCatalogCategories	listCatalogCategories
searchCatalogItems	searchCatalogItems
getCatalogItem	getCatalogItem

Prerequisites

依赖 linkfox-amazon-store-auth
；

python scripts/check_auth_dependency.py

，exit 42 时需先安装授权 skill。

应用需具备 Catalog Items 相关角色；
```
searchCatalogItems
```
按 identifiers+SKU 检索时 query 须带 sellerId
（脚本在
```
identifiersType=SKU
```
时自动使用入参
```
sellerId
```
）。

Current Capabilities

能力	path	脚本
listCatalogCategories	`catalog/v0/categories`	`list_catalog_categories.py`
searchCatalogItems	`catalog/{2022-04-01\|2020-12-01}/items`	`search_catalog_items.py`
getCatalogItem	`catalog/{version}/items/{asin}`	`get_catalog_item.py`

默认 Catalog Items 版本：2022-04-01
；入参 catalogItemsVersion
可改为 2020-12-01
。

共享模块：_spapi_catalog_common.py
。

Quick Parameters

listCatalogCategories：
```
marketplaceId
```
+ asin
或 sellerSku
（二选一）。

searchCatalogItems：

marketplaceIds

+ keywords
或 identifiers
+
identifiersType
（互斥）；可选

includedData

、

brandNames

、

classificationIds

、

pageSize

、

pageToken

。

getCatalogItem：
```
asin
```
、
```
marketplaceIds
```
；可选
```
includedData
```
、
```
locale
```
。

Scripts

bash

export LINKFOXAGENT_API_KEY="<your-key>"

python scripts/list_catalog_categories.py '{"sellerId":"A1...","region":"NA","marketplaceId":"ATVPDKIKX0DER","asin":"B08N5WRWNW"}'

python scripts/search_catalog_items.py '{"sellerId":"A1...","region":"NA","marketplaceIds":["ATVPDKIKX0DER"],"keywords":["wireless mouse"]}'

python scripts/get_catalog_item.py '{"sellerId":"A1...","region":"NA","asin":"B08N5WRWNW","marketplaceIds":["ATVPDKIKX0DER"],"includedData":["summaries","images"]}'

Display Rules

先看 developerProxy.errcode
/
httpStatus
，再读 categories
/ catalogItems
/ catalogItem
。

listCatalogCategories 使用 v0 查询键 MarketplaceId
（单数），与 search/get 的 marketplaceIds
不同。
网关 path 白名单需包含 catalog/v0/
与 catalog/2022-04-01/
（或
```
2020-12-01
```
）。

Important Limitations

本 skill 读的是 Amazon 商品目录（Catalog），不是卖家订单；订单见 linkfox-amazon-store-orders
。
```
includedData
```
、返回字段以 Amazon schema 为准，详见 references/api.md
。

Feedback：

skillName

：

linkfox-amazon-store-catalog

。

更多跨境 skill：LinkFox Skills

Handling Large Responses

To avoid overflowing the agent context, persist the response to disk and extract only the fields you need:

python scripts/response_io.py run --script scripts/check_auth_dependency.py --out-dir <DIR> '<params>'
python scripts/response_io.py read <file> --fields "<paths>"   # or --path "<JMESPath>"

Pick
--out-dir
outside any git working tree (e.g.
/tmp/...
on Unix,
%TEMP%/...
on Windows). Persisted responses may contain PII, pricing, or auth-sensitive data — do not commit them. Files are not auto-deleted; clean up when the task is done.

This skill exposes multiple entry scripts:
check_auth_dependency.py
,
get_catalog_item.py
,
list_catalog_categories.py
,
search_catalog_items.py
. Pass
--script scripts/<name>.py
to choose the one you need.

run

writes the full response to a file and emits only a schema preview + file path.

read

projects specific fields, with

--limit/--offset

for slicing and

--format json|jsonl|csv|table

for output.

When to prefer this pattern — apply your judgment based on the response characteristics, e.g.:

High field count per record, or fields you don't need
Batch/paginated results (multiple items per call)
Long-text fields (descriptions, reviews, HTML, time series)
Output reused across later steps rather than consumed immediately

For small, single-use responses, calling the main script directly is fine.

⚠️ The preview is a truncated schema + sample, not the full data. Any field-level decision must read from the persisted file via

read

.