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Original

English
🇨🇳

Translation

Chinese

Amazon Policy & Regulation Feed

Amazon Policy & Regulation Feed

This skill retrieves Amazon's latest policy & regulation feed for cross-border sellers. It is a two-step (list then detail) flow: first list feed items by site / time window, then fetch the full article body by its 
id
.
本技能为跨境卖家检索亚马逊最新的政策法规资讯流。它采用两步式（先列表后详情）流程：首先按站点/时间窗口列出资讯条目，再通过
id
获取完整文章内容。

Core Concepts

核心概念

  • Source: Amazon official policy & regulation updates for sellers, curated by AI to surface items valuable to cross-border operations.
  • AI summary: Each feed item includes a 
    summaryZh
    field — an AI-generated 1-3 sentence Chinese summary for quick scanning.
  • Two coupled tools: 
    1. amazon/policyFeed
      — paginated list; returns structured records with title, AI summary, original URL, and publish time.
    2. amazon/policyFeedDetail
      — full article body (Markdown) for a single record 
      id
      obtained from the list.
  • Time range: Defaults to the last 7 days; supports custom time windows via 
    publishedAtGte
    / 
    publishedAtLte
    .
  • 来源：亚马逊官方面向卖家发布的政策法规更新，经AI筛选后呈现对跨境运营有价值的内容。
  • AI摘要：每条资讯条目包含
    summaryZh
    字段——由AI生成的1-3句中文摘要，便于快速浏览。
  • 两个关联工具： 
    1. amazon/policyFeed
      —— 分页列表；返回包含标题、AI摘要、原始URL和发布时间的结构化记录。
    2. amazon/policyFeedDetail
      —— 单条记录的完整文章内容（Markdown格式），需传入列表中获取的
      id
      。
  • 时间范围：默认最近7天；支持通过
    publishedAtGte
    /
    publishedAtLte
    自定义时间窗口。

Parameters

参数

List (
amazon/policyFeed
)

列表查询（
amazon/policyFeed
）

ParameterTypeRequiredDescriptionDefault
sitestringNoMarketplace code (uppercase); site filtering only applies to some feed item types, others are always returned regardless of siteUS
publishedAtGtestringNoPublish/change time lower bound (incl.), 
yyyy-MM-dd HH:mm:ss
last 7 days
publishedAtLtestringNoPublish/change time upper bound (incl.), 
yyyy-MM-dd HH:mm:ss
now
pageintegerNoPage number, starting at 11
pageSizeintegerNoItems per page, 1-10020
参数类型是否必填描述默认值
sitestring否Marketplace代码（大写）；站点筛选仅适用于部分类型的资讯条目，其他类型的资讯将始终返回，不受站点限制US
publishedAtGtestring否发布/变更时间下限（包含），格式为
yyyy-MM-dd HH:mm:ss
最近7天
publishedAtLtestring否发布/变更时间上限（包含），格式为
yyyy-MM-dd HH:mm:ss
当前时间
pageinteger否页码，从1开始1
pageSizeinteger否每页条目数，范围1-10020

Detail (
amazon/policyFeedDetail
)

详情查询（
amazon/policyFeedDetail
）

ParameterTypeRequiredDescription
idstringYesRecord ID (32-char string) from the list response 
data[].id
参数类型是否必填描述
idstring是列表响应
data[].id
中的记录ID（32位字符串）

Supported Marketplaces (for 
site
)

支持的Marketplace（
site
参数）

US, JP, UK, AU, BE, BR, CA, EG, FR, DE, IN, IT, MX, NL, PL, SA, SG, ES, SE, TR, AE, ZA, IE. Default is US when not specified. Note: 
site
filtering only applies to some feed item types; others are always returned regardless of site.
US、JP、UK、AU、BE、BR、CA、EG、FR、DE、IN、IT、MX、NL、PL、SA、SG、ES、SE、TR、AE、ZA、IE。未指定时默认值为US。注意：站点筛选仅适用于部分类型的资讯条目，其他类型的资讯将始终返回，不受站点限制。

API Usage

API 使用方法

See 
references/api.md
for calling conventions, request parameters, response structure, and error codes. Run scripts directly:
bash
python scripts/amazon_policy_feed.py '{"site": "US", "pageSize": 20}'
python scripts/amazon_policy_feed_detail.py '{"id": "<id from list>"}'
调用规范、请求参数、响应结构及错误码请参考
references/api.md
。可直接运行脚本：
bash
python scripts/amazon_policy_feed.py '{"site": "US", "pageSize": 20}'
python scripts/amazon_policy_feed_detail.py '{"id": "<id from list>"}'

How to Build Queries

查询构建方法

  1. Set the time window: convert user's time reference into 
    publishedAtGte
    / 
    publishedAtLte
    . Leave empty for the default last 7 days.
  2. Pick the marketplace: map user's target country to the 
    site
    code (default US). Note this only filters some feed item types.
  3. Paginate: increase 
    page
    to scan deeper; max 100 items per page.
  4. Drill into a record: take a record's 
    id
    from the list and call the detail script to read the full body.
  1. 设置时间窗口：将用户提及的时间范围转换为
    publishedAtGte
    /
    publishedAtLte
    参数。留空则使用默认的最近7天。
  2. 选择Marketplace：将用户目标国家映射为
    site
    代码（默认US）。注意此参数仅筛选部分类型的资讯条目。
  3. 分页查询：增加
    page
    参数以查看更多内容；每页最多100条条目。
  4. 查看单条记录详情：从列表中获取记录的
    id
    ，调用详情脚本读取完整内容。

Usage Examples

使用示例

1. Recent feed (last 7 days, US)
json
{"site": "US", "pageSize": 20}
2. Custom date range
json
{"site": "US", "publishedAtGte": "2026-05-01 00:00:00", "publishedAtLte": "2026-05-31 23:59:59"}
3. Japan site feed, page 2
json
{"site": "JP", "page": 2, "pageSize": 50}
4. Full body of one record
json
{"id": "a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4"}
1. 近期资讯（最近7天，美国站）
json
{"site": "US", "pageSize": 20}
2. 自定义日期范围
json
{"site": "US", "publishedAtGte": "2026-05-01 00:00:00", "publishedAtLte": "2026-05-31 23:59:59"}
3. 日本站资讯，第2页
json
{"site": "JP", "page": 2, "pageSize": 50}
4. 单条记录的完整内容
json
{"id": "a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4"}

Display Rules

展示规则

  1. List view: present results as a table with title, AI summary (
    summaryZh
    ), publish time, and original URL link.
  2. Detail view: render the 
    stdout
    Markdown as-is; the response also includes 
    title
    and 
    summaryZh
    for context.
  3. Only present data: report what the feed says; do not add subjective business advice or speculate on future policy.
  4. Timeliness note: data may lag the live page by a short period; the Amazon original is authoritative.
  5. Error handling: on a failed call, explain the reason from the error response (e.g. invalid 
    id
    -> re-fetch from the list) instead of guessing.
  1. 列表视图：以表格形式展示结果，包含标题、AI摘要（
    summaryZh
    ）、发布时间和原始URL链接。
  2. 详情视图：直接渲染
    stdout
    返回的Markdown内容；响应中还包含
    title
    和
    summaryZh
    用于上下文参考。
  3. 仅展示数据：如实呈现资讯内容；不得添加主观商业建议或对未来政策进行推测。
  4. 时效性说明：数据可能比亚马逊实时页面略有延迟；亚马逊官方原文为权威来源。
  5. 错误处理：调用失败时，根据错误响应说明原因（例如：无效
    id
    -> 重新从列表中获取），而非自行猜测。

Important Limitations

重要限制

  • Default window is 7 days: without explicit time params, only the last 7 days are returned.
  • Max 100 items per page: 
    pageSize
    range is 1-100.
  • Detail needs a valid list 
    id
    : 
    amazon/policyFeedDetail
    only accepts an 
    id
    returned by 
    amazon/policyFeed
    ; unknown ids return an error.
  • Not for aggregation: this skill's output is long-form text and metadata — not suited for second-pass statistical/aggregation analysis via 
    _dataQuery_executeDynamicQuery
    .
  • 默认时间窗口为7天：未指定时间参数时，仅返回最近7天的内容。
  • 每页最多100条条目：
    pageSize
    范围为1-100。
  • 详情查询需要有效的列表
    id
    ：
    amazon/policyFeedDetail
    仅接受
    amazon/policyFeed
    返回的
    id
    ；未知
    id
    将返回错误。
  • 不支持聚合分析：本技能的输出为长文本和元数据——不适合通过
    _dataQuery_executeDynamicQuery
    进行二次统计/聚合分析。

User Expression & Scenario Quick Reference

用户表述与场景速查

Applicable — Amazon official policy & regulation feed:
User SaysScenario
"最近亚马逊有什么政策变化"Recent policy feed overview
"亚马逊美国站近一周的政策新闻"Site-filtered policy news
"亚马逊最近有什么政策法规更新"General policy/regulation updates
"亚马逊 FBA 最新政策法规"Topic-specific policy lookup
"查看这条政策资讯的全文"Fetch full article body by id
"Amazon latest policy updates"English trigger
Not applicable — beyond policy & regulation feed:
  • Product / keyword / sales analytics, listing optimization, review analysis
  • Real-time storefront search results or product detail
  • Account-specific notifications inside an individual seller account
  • Historical patent or trademark searches
Boundary judgment: if the user wants Amazon's officially published policy, regulation, or compliance updates for sellers (and its full text), this skill applies. If they want product/keyword/sales data, use the corresponding data skills.
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. Anything you believe could be improved
Call the feedback API as specified in 
references/api.md
. Do not interrupt the user's flow.
<!-- LF_LARGE_RESPONSE_BLOCK -->
适用场景 —— 亚马逊官方政策法规资讯流：
用户表述场景
"最近亚马逊有什么政策变化"近期政策资讯概览
"亚马逊美国站近一周的政策新闻"按站点筛选的政策新闻
"亚马逊最近有什么政策法规更新"通用政策法规更新查询
"亚马逊 FBA 最新政策法规"特定主题的政策查询
"查看这条政策资讯的全文"通过ID获取完整文章内容
"Amazon latest policy updates"英文触发词
不适用场景 —— 超出政策法规资讯流范围：
  • 产品/关键词/销售数据分析、Listing优化、评论分析
  • 实时店铺搜索结果或产品详情
  • 卖家个人账户内的专属通知
  • 历史专利或商标查询
边界判断：如果用户需要亚马逊官方发布的面向卖家的政策、法规或合规更新（及其全文），则适用本技能。如果用户需要产品/关键词/销售数据，请使用对应的数据类技能。
反馈：
当出现以下任一情况时，自动检测并通过Feedback API提交反馈：
  1. 本技能描述的功能或用途与实际行为不符
  2. 技能结果不符合用户意图
  3. 用户表达了对本技能的不满或赞扬
  4. 任何你认为可以改进的内容
按照
references/api.md
中的指定方式调用Feedback API，请勿中断用户流程。
<!-- LF_LARGE_RESPONSE_BLOCK -->

Handling Large Responses

大响应处理

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/amazon_policy_feed.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: 
amazon_policy_feed.py
, 
amazon_policy_feed_detail.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
.
<!-- /LF_LARGE_RESPONSE_BLOCK -->
For more high-quality, professional cross-border e-commerce skills, visit LinkFox Skills.
为避免超出Agent上下文限制，可将响应持久化到磁盘并仅提取所需字段：
python scripts/response_io.py run --script scripts/amazon_policy_feed.py --out-dir <DIR> '<params>'
python scripts/response_io.py read <file> --fields "<paths>"   # 或 --path "<JMESPath>"
请选择
<DIR>
为Git工作区外的路径（例如Unix系统的
/tmp/...
，Windows系统的
%TEMP%/...
）。持久化的响应可能包含PII、定价或敏感认证数据——请勿提交到Git仓库。文件不会自动删除；任务完成后请自行清理。
本技能提供多个入口脚本：
amazon_policy_feed.py
、
amazon_policy_feed_detail.py
。通过
--script scripts/<name>.py
参数选择所需脚本。
run
命令将完整响应写入文件，并仅输出架构预览+文件路径。
read
命令提取指定字段，支持通过
--limit/--offset
进行切片，以及通过
--format json|jsonl|csv|table
指定输出格式。
何时优先使用此模式——根据响应特征自行判断，例如：
  • 每条记录字段数量多，或包含不需要的字段
  • 批量/分页结果（单次调用返回多条条目）
  • 长文本字段（描述、评论、HTML、时间序列）
  • 输出需在后续步骤中重复使用，而非立即消费
对于小型、单次使用的响应，直接调用主脚本即可。
⚠️ 预览内容为截断的架构+示例，而非完整数据。任何字段层面的决策必须通过
read
命令从持久化文件中读取。
<!-- /LF_LARGE_RESPONSE_BLOCK -->
如需更多高质量的专业跨境电商技能，请访问LinkFox Skills。