Agent skill

Linkfox Keepa Product Request

by linkfox-ai in linkfox-ai/linkfox-skills

通过ASIN获取亚马逊商品详情,包括价格、标题、Item Highlights(商品亮点)、主图、上架日期、材质、重量、变体月销量及近12个月的月销数据。当用户查询亚马逊商品详情、ASIN查询、Item Highlights、itemHighlights、标题补充信息、商品定价、销售排名历史、月销量趋势、商品尺寸、FBA费用、产品规格、批量ASIN查询、Keepa product…

MITAuto-check passed

Install Linkfox Keepa Product Request

skills CLI
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-request -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-request --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-keepa-product-request .claude/skills/linkfox-keepa-product-request && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
linkfox-keepa-product-request
GitHub stars
107
Used in
1 other repo
Token cost
~2.4k tokens
SKILL.md length
1,129 words
Files
5 (incl. scripts, references)
Skills in repo
177
Repo updated
First seen
Licence
MIT

At a glance

通过ASIN获取亚马逊商品详情,包括价格、标题、Item Highlights(商品亮点)、主图、上架日期、材质、重量、变体月销量及近12个月的月销数据。当用户查询亚马逊商品详情、ASIN查询、Item Highlights、itemHighlights、标题补充信息、商品定价、销售排名历史、月销量趋势、商品尺寸、FBA费用、产品规格、批量ASIN查询、Keepa product…

  • Works in 9 steps: Present data clearly: Show product… → Price and currency: Always display the… → Sales trend: When historical data is… → …
  • SKILL.md covers Core Concepts, Parameter Guide, Usage Examples and 调用方式, plus 5 more sections
  • Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY

What it does

Linkfox Keepa Product Request is an agent skill from linkfox-ai/linkfox-skills. 通过ASIN获取亚马逊商品详情,包括价格、标题、Item Highlights(商品亮点)、主图、上架日期、材质、重量、变体月销量及近12个月的月销数据。当用户查询亚马逊商品详情、ASIN查询、Item Highlights、itemHighlights、标题补充信息、商品定价、销售排名历史、月销量趋势、商品尺寸、FBA费用、产品规格、批量ASIN查询、Keepa product details, ASIN detail lookup, monthly sales data, pricing info, product specifications, FBA fees, batch ASIN query时触发此技能。即使用户未明确提及"Keepa",只要其需求涉及获取一个或多个亚马逊ASIN的结构化商品数据,也应触发此技能。

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/keepa_product_detail.py`).

The licence is MIT.

Example prompts

  • “/linkfox-keepa-product-request”

Requirements

  • Python 3
  • A credential in LINKFOX_AGENT_API_KEY
  • A credential in LINKFOXAGENT_API_KEY

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Present data clearly: Show product details in well-structured tables. Group related fields (e.g., dimensions together, sales data…
  2. Price and currency: Always display the price alongside its currency (e.g., "$29.99 USD"). The currency field in the response indicates the…
  3. Sales trend: When historical data is included, present the 12-month sales trend in a table or describe the trajectory (growing, declining…
  4. Dimensions and weight: Convert millimeter values to more intuitive units when appropriate (e.g., show both mm and inches, or mm and cm)…
  5. Unavailable data: Fields with value 0 or -1 indicate data is unavailable. Do not display these as actual measurements; instead note "N/A"…
  6. Image display: If imageUrl is present, display the product image to help users visually identify the product.
  7. Error handling: When a query fails, explain the issue based on the response and suggest corrections (e.g., invalid ASIN format…
  8. Large batch results: For batch queries with many ASINs, present a summary table first and offer to show individual product details on…
  9. Item Highlights: Read products[].itemHighlights from the full response, not just the stdout summary or columns. Display the original value…

What it can do on your machine

Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • skill.linkfox.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • LINKFOX_AGENT_API_KEY
    • LINKFOXAGENT_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Linkfox Keepa Product Request loads about 2.4k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 99 tokens; SKILL.md has 1,129 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 1,129 words, ~2,351 tokens.

Download SKILL.mdSave it as .claude/skills/linkfox-keepa-product-request/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
linkfox-keepa-product-request
description
通过ASIN获取亚马逊商品详情,包括价格、标题、Item Highlights(商品亮点)、主图、上架日期、材质、重量、变体月销量及近12个月的月销数据。当用户查询亚马逊商品详情、ASIN查询、Item Highlights、itemHighlights、标题补充信息、商品定价、销售排名历史、月销量趋势、商品尺寸、FBA费用、产品规格、批量ASIN查询、Keepa product details, ASIN detail lookup, monthly sales data, pricing info, product specifications, FBA fees, batch ASIN query时触发此技能。即使用户未明确提及"Keepa",只要其需求涉及获取一个或多个亚马逊ASIN的结构化商品数据,也应触发此技能。

Keepa Product Data Request

This skill guides you on how to retrieve Amazon product details via the Keepa product request API, helping Amazon sellers and analysts obtain structured product data for one or more ASINs across multiple Amazon marketplaces.

Core Concepts

The Keepa Product Request API returns detailed product listing data from Amazon, sourced through Keepa. Given one or more ASINs and a marketplace, it returns comprehensive product information: pricing, title, Item Highlights (itemHighlights, when available), main image, listing date, material, weight, dimensions, sales rank, monthly sales units (current and up to 12 months of history), FBA fees, ratings, review counts, category tree, and more.

Key points:

  • You can query up to 5 ASINs in a single request by separating them with commas.
  • The domain parameter is a numeric marketplace ID (e.g., 1 = Amazon.com US), not a country code.
  • Setting history to 1 includes historical sales data (monthly sales for up to 12 prior months, average sales rank over 30/90/180 days). Setting it to 0 returns only current product information.
  • products[].itemHighlights is a single string of short product information separate from title; it may be null, blank, or absent. It requires no extra request parameter and can be returned with history=0.
  • The response does not include full product descriptions or review content. Item Highlights is not the same as bullet points (features) or a full description.

Parameter Guide

domain (Required)

Numeric Amazon marketplace ID. The mapping is:

Domain IDMarketplace
1Amazon.com (US)
2Amazon.co.uk (UK)
3Amazon.de (Germany)
4Amazon.fr (France)
5Amazon.co.jp (Japan)
6Amazon.ca (Canada)
8Amazon.it (Italy)
9Amazon.es (Spain)
10Amazon.in (India)
11Amazon.com.mx (Mexico)
12Amazon.com.br (Brazil)

Default to 1 (US) when the user does not specify a marketplace.

asin (Required)

One or more Amazon Standard Identification Numbers. For multiple ASINs, separate with commas. Maximum 5 ASINs per request, with a total string length limit of 300 characters.

history (Optional)

Whether to include historical data such as monthly sales for the past 12 months and average sales rank over 30/90/180 days. Set to 1 to include history, 0 (default) for basic info only.

Usage Examples

1. Single ASIN lookup (US marketplace, basic info)

json
{"asin": "B0088PUEPK", "domain": "1"}

2. Single ASIN with historical sales data

json
{"asin": "B0088PUEPK", "domain": "1", "history": 1}

3. Batch lookup of multiple ASINs (Germany)

json
{"asin": "B0088PUEPK,B00U26V4VQ,B07M68S376", "domain": "3", "history": 1}

4. Product lookup on Amazon Japan

json
{"asin": "B09V3KXJPB", "domain": "5", "history": 0}

5. Competitor comparison across multiple ASINs (US, with sales history)

json
{"asin": "B0CXYZ1234,B0CXYZ5678,B0CXYZ9012,B0CXYZABCD", "domain": "1", "history": 1}

调用方式

  • API 端点:POST /keepa/productRequest(完整参数/响应/错误码见 references/api.md)
  • Python 脚本:python scripts/keepa_product_detail.py '<JSON 参数>' [--inline]
  • 成本约束:本工具会消耗算力;同一会话同一参数组合默认只调用一次,脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探;需要继续检索时先向用户说明会产生额外消耗。

输出策略(脚本默认行为):

  • 始终将完整响应写入 <cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-keepa-product-request-<timestamp>.json(<cwd> 为脚本执行时的工作目录,在 Claude Code 里即当前项目目录;<session> 取自环境变量 SESSION_ID,按用户任务自动聚合;禁止写入 /tmp,当前目录不可写则报错)
  • 响应体 ≤ 8 KB:落盘后把完整 JSON 打印到 stdout
  • 响应体 > 8 KB:落盘后 stdout 只输出摘要(顶层字段、常见计数如 total/costToken、最大列表字段的长度 + 前 3 条样本)
  • 加 --inline 强制全量打印到 stdout(同样落盘)

读数据建议:先看摘要判断是否足够;需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取,避免整份 JSON 进入上下文。

解决认证和算力问题

发生以下异常情况时,采用 references/onboarding.md 引导解决问题:

异常情况
  • 未配置API Key:环境变量未配置 LINKFOX_AGENT_API_KEY,也未配置 LINKFOXAGENT_API_KEY。
  • 响应401或402状态码
  • 响应提示算力或余额不足:消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值",或类似含义的内容。

Display Rules

  1. Present data clearly: Show product details in well-structured tables. Group related fields (e.g., dimensions together, sales data together) for readability.
  2. Price and currency: Always display the price alongside its currency (e.g., "$29.99 USD"). The currency field in the response indicates the local currency.
  3. Sales trend: When historical data is included, present the 12-month sales trend in a table or describe the trajectory (growing, declining, stable) to help users quickly assess momentum.
  4. Dimensions and weight: Convert millimeter values to more intuitive units when appropriate (e.g., show both mm and inches, or mm and cm). Note that weight is in grams.
  5. Unavailable data: Fields with value 0 or -1 indicate data is unavailable. Do not display these as actual measurements; instead note "N/A" or omit them.
  6. Image display: If imageUrl is present, display the product image to help users visually identify the product.
  7. Error handling: When a query fails, explain the issue based on the response and suggest corrections (e.g., invalid ASIN format, unsupported marketplace).
  8. Large batch results: For batch queries with many ASINs, present a summary table first and offer to show individual product details on request.
  9. Item Highlights: Read products[].itemHighlights from the full response, not just the stdout summary or columns. Display the original value separately from title. If it is missing, null, or blank, label it "未返回/不可用"; do not infer that the Amazon listing lacks it or reconstruct it from title, bullets, or description.
Show full SKILL.md (431 more words)Show less

Important Limitations

  • No full product descriptions or reviews: The API can return short Item Highlights, but not full product description text or review content.
  • Item Highlights availability: Requires a backend deployment that passes through itemHighlights and available upstream data. Do not promise a value for every ASIN.
  • Maximum 5 ASINs per request: Batch queries are capped at 5 ASINs.
  • ASIN string length limit: The asin parameter has a maximum length of 300 characters.
  • Historical data is optional: Monthly sales history is only returned when history is set to 1.
  • Data freshness: The lastUpdate field indicates when the product data was last refreshed.

User Expression & Scenario Quick Reference

Applicable -- Product data retrieval by ASIN:

User SaysScenario
"Look up this ASIN", "Get product details for B0XXXXXXXX"Single ASIN lookup
"查这个 ASIN 的 Item Highlights", "标题之外的商品亮点/补充信息"Retrieve existing itemHighlights separately from title
"What's the price of this product on Amazon"Price query
"How many units does this product sell per month"Monthly sales check
"Compare these ASINs", "batch lookup these products"Multi-ASIN comparison
"Show me the sales trend for this ASIN"Historical sales analysis
"What category is this product in"Category / classification lookup
"Product dimensions", "how much does it weigh"Physical specs query
"FBA fees for this product"Fee estimation
"When was this product listed", "listing date"Listing age / launch date
"Is this product FBA or FBM"Fulfillment method check

Not applicable -- Needs beyond ASIN-level product data:

  • Search term / keyword analysis (use ABA data tools instead)
  • Full product descriptions, review text, or generating new listing copy (retrieving existing title and itemHighlights is supported)
  • Advertising / PPC campaign data
  • Seller account or store-level analytics
  • Product research without specific ASINs (e.g., "find trending products in kitchen category")
  • Price history charts or Buy Box history over time (only current and average rank data are available)

Boundary judgment: When users say "product research" or "competitor analysis", if they have specific ASINs and want structured product data (price, sales, dimensions, category), this skill applies. If they want keyword-level analysis, market-wide trends without specific ASINs, or advertising metrics, this skill does not apply.

算力消耗规则

按动态规则计费:消耗算力 = 0.045 × 本次商品详情查询消耗的 Keepa token。

重要:本技能的服务按倍数动态计算,可能一次性消耗大量算力,必须提醒用户,由用户决定是否继续。

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.


For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.

© linkfox-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in skills/linkfox-keepa-product-request of linkfox-ai/linkfox-skills.

  • SKILL.md
  • references/api.md
  • references/onboarding.md
  • scripts/keepa_product_detail.py
  • scripts/onboarding.py

Open the folder on GitHubat commit 38fef04

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in linkfox-ai/linkfox-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Linkfox Keepa Product Request next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Linkfox Keepa Product Request compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkfox Keepa Product Request this skilllinkfox-ai/linkfox-skills1071 repos~2.4kAutomated safety check: PassMIT
Pierre Highlightspierrecomputer/pierre6.3k—~409Automated safety check: PassApache-2.0
Action Items List Managerasgeirtj/system_prompts_leaks69k—~4.9kAutomated safety check: PassCC0-1.0
Document To Action ItemsNousResearch/hermes-agent252k—~976Automated safety check: PassMIT
Meeting Action ItemsNousResearch/hermes-agent252k—~950Automated safety check: PassMIT
Add Permission Group Itemsimstudioai/sim30k—~8.3kAutomated safety check: PassApache-2.0

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Questions about Linkfox Keepa Product Request

What does Linkfox Keepa Product Request do?

通过ASIN获取亚马逊商品详情,包括价格、标题、Item Highlights(商品亮点)、主图、上架日期、材质、重量、变体月销量及近12个月的月销数据。当用户查询亚马逊商品详情、ASIN查询、Item Highlights、itemHighlights、标题补充信息、商品定价、销售排名历史、月销量趋势、商品尺寸、FBA费用、产品规格、批量ASIN查询、Keepa product…. Linkfox Keepa Product Request is an agent skill from linkfox-ai/linkfox-skills.

How do I install Linkfox Keepa Product Request in Claude Code?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-request -a claude-code`. Or copy the skill folder (skills/linkfox-keepa-product-request in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-keepa-product-request in your project. Claude Code loads it when a task matches its description.

How do I install Linkfox Keepa Product Request in Codex?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-request -a codex`. Or copy the skill folder (skills/linkfox-keepa-product-request in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-keepa-product-request in your project. Codex loads it when a task matches its description.

Can I use Linkfox Keepa Product Request in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-request -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-keepa-product-request, .gemini/skills/linkfox-keepa-product-request, .github/skills/linkfox-keepa-product-request and .opencode/skills/linkfox-keepa-product-request in your project.

What does Linkfox Keepa Product Request need to run?

Going by SKILL.md and its folder, Linkfox Keepa Product Request needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.

Does Linkfox Keepa Product Request access the network?

SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.

Is Linkfox Keepa Product Request safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Linkfox Keepa Product Request use?

Linkfox Keepa Product Request is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linkfox Keepa Product Request use?

About 2.4k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Linkfox Keepa Product Request?

Skills that share tags, products or a category with Linkfox Keepa Product Request: Pierre Highlights (pierrecomputer/pierre, 6.3k stars), Action Items List Manager (asgeirtj/system_prompts_leaks, 69k stars), Document To Action Items (NousResearch/hermes-agent, 252k stars) and Meeting Action Items (NousResearch/hermes-agent, 252k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkfox Keepa Product Request?

linkfox-ai (a GitHub user) maintains it in linkfox-ai/linkfox-skills, which has 107 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 14, 2026.

Source: linkfox-ai/linkfox-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.