{"id":"f0085ecf-7125-4beb-83bb-4ddccb0abe0f","entityType":"agent","slug":"clawhub-linkfox-ai-linkfox-keepa-product-series","name":"Keepa-商品历史数据","canonicalUrl":"https://www.xpersona.co/agent/clawhub-linkfox-ai-linkfox-keepa-product-series","canonicalPath":"/agent/clawhub-linkfox-ai-linkfox-keepa-product-series","generatedAt":"2026-10-14T15:21:37.516Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-12T00:03:21.441Z","emptyReason":null},"description":"查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及\"Keepa\"或\"时序数据\"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变化趋势），也应触发此技能。 Skill: Keepa-商品历史数据 Owner: linkfox-ai Summary: 查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及\"Keepa\"或\"时序数据\"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. 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查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及\"Keepa\"或\"时序数据\"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变化趋势），也应触发此技能。\n\nTags: latest:1.0.7\n\nVersion history:\n\nv1.0.7 | 2026-09-14T05:21:41.755Z | user\n\nUpdate from 1.0.6 to 1.0.7\n\nv1.0.6 | 2026-08-14T14:56:41.160Z | user\n\nUpdate from 1.0.5 to 1.0.6\n\nv1.0.5 | 2026-08-07T10:52:25.006Z | user\n\nUpdate from 1.0.4 to 1.0.5\n\nv1.0.4 | 2026-07-13T12:12:54.670Z | user\n\nUpdate from 1.0.3 to 1.0.4\n\nv1.0.3 | 2026-07-06T11:21:59.507Z | user\n\nUpdate from 1.0.2 to 1.0.3\n\nv1.0.2 | 2026-07-03T08:20:35.572Z | user\n\nUpdate from 1.0.1 to 1.0.2\n\nv1.0.1 | 2026-07-03T06:51:16.406Z | user\n\nUpdate from 1.0.0 to 1.0.1\n\nArchive index:\n\nArchive v1.0.7: 7 files, 23877 bytes\n\nFiles: references/api.md (4902b), references/onboarding.md (1999b), scripts/keepa_product_history.py (13118b), scripts/onboarding.py (24027b), skill-card.md (2963b), SKILL.md (11192b), _meta.json (147b)\n\nFile v1.0.7:SKILL.md\n\n---\nname: linkfox-keepa-product-series\ndescription: 查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及\"Keepa\"或\"时序数据\"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变化趋势），也应触发此技能。\n---\n\n# Keepa Product Time-Series Data Explorer\n\nThis skill guides you on how to query and analyze Amazon product historical time-series data, helping Amazon sellers track price movements, BSR trends, rating changes, and other key product metrics over time.\n\n## Core Concepts\n\nThis tool provides historical time-series data for individual Amazon products (ASINs) powered by Keepa. It returns timestamped data points for various metrics, allowing trend analysis over a configurable time window (up to 365 days). Each query targets a single ASIN in a specific Amazon marketplace.\n\n**Time-series format**: All data series are returned as arrays of `{time, value}` objects, where `time` is a timestamp and `value` is the metric at that point. BSR data includes a `categoryName` field along with a `points` array. Analyze these fields from the saved JSON directly. `_dataQuery_executeDynamicQuery` reads Linkfox session data stored in SLS, not arbitrary JSON files; its supported data mappings do not determine whether these time series can be analyzed.\n\n**BSR logic**: A smaller BSR value means a better sales rank. Rank 1 is the top-selling product in its category. When a user says \"BSR improved\", it means the numeric value decreased; \"BSR dropped\" means the value increased.\n\n## Available Data Series\n\n| Series | Parameter | Description |\n|--------|-----------|-------------|\n| Buy Box Price | *(always returned)* | Buy Box price over time |\n| Lowest New Price | showPrice=1 | Lowest marketplace new item price |\n| List Price | showPriceList=1 | Strikethrough / list price |\n| Deal Price | showPriceDeal=1 | Lightning deal price |\n| Prime Exclusive Price | showPricePrime=1 | Prime-exclusive new item price |\n| FBA Price | showPriceFba=1 | Third-party FBA new item price |\n| FBM Price | showPriceFbm=1 | Third-party FBM new item price |\n| Coupon Price | showPriceCoupon=1 | Post-coupon Buy Box price |\n| Main Category BSR | showBsrMain=1 | Best Sellers Rank in the main (root) category |\n| Seller Count | showSellerCount=1 | Number of active sellers |\n| Rating | *(always returned)* | Product star rating over time |\n| Rating Count | *(always returned)* | Number of ratings over time |\n| Monthly Sales | *(always returned)* | Monthly unit sales volume |\n| Sub-category BSR | *(always returned)* | Best Sellers Rank in sub-categories |\n\n## Supported Marketplaces\n\n| Domain ID | Marketplace |\n|-----------|-------------|\n| 1 | Amazon.com (US) |\n| 2 | Amazon.co.uk (UK) |\n| 3 | Amazon.de (Germany) |\n| 4 | Amazon.fr (France) |\n| 5 | Amazon.co.jp (Japan) |\n| 6 | Amazon.ca (Canada) |\n| 8 | Amazon.it (Italy) |\n| 9 | Amazon.es (Spain) |\n| 10 | Amazon.in (India) |\n| 11 | Amazon.com.mx (Mexico) |\n| 12 | Amazon.com.br (Brazil) |\n\nDefault marketplace is **1** (US). Use domain=1 when the user does not specify a marketplace.\n\n## 调用方式\n\n- **API 端点**：`POST /keepa/productSeries`（完整参数/响应/错误码见 `references/api.md`）\n- **Python 脚本**：`python scripts/keepa_product_history.py '' [--inline]`\n- **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。\n\n**输出策略（脚本默认行为）**：\n- **始终**将完整响应写入 `/linkfox///data/linkfox-keepa-product-series-.json`（`` 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；`` 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）\n- 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout\n- 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）\n- 加 `--inline` 强制全量打印到 stdout（同样落盘）\n\n**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。\n\n## 解决认证和算力问题\n发生以下异常情况时，采用 references/onboarding.md 引导解决问题：\n\n### 异常情况\n- **未配置API Key**：环境变量未配置 `LINKFOX_AGENT_API_KEY`，也未配置 `LINKFOXAGENT_API_KEY`。\n- **响应401或402状态码**\n- **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。\n\n## Parameter Guide\n\n### Required Parameters\n\n- **asin**: The Amazon Standard Identification Number to query. Only a single ASIN per request is supported.\n- **domain**: The Amazon marketplace domain ID (see table above). Always map the user's marketplace mention to the correct numeric ID.\n\n### Optional Parameters\n\n- **days**: Number of historical days to retrieve (1-365, default 90). Use 30 for short-term, 90 for medium-term, 365 for long-term analysis.\n- **show\\* flags**: Set any `show*` parameter to `1` to include that data series. By default, only the core series (Buy Box price, rating, rating count, monthly sales, sub-category BSR) are returned.\n\n### How to Choose Parameters\n\n1. **Price analysis**: Enable `showPrice`, `showPriceList`, `showPriceDeal`, `showPriceCoupon` as needed for the specific price comparison the user wants.\n2. **FBA vs FBM comparison**: Enable both `showPriceFba` and `showPriceFbm`.\n3. **BSR deep-dive**: Enable `showBsrMain` to get the root category BSR alongside the always-returned sub-category BSR.\n4. **Competitive landscape**: Enable `showSellerCount` to see how many sellers are competing.\n5. **Full product overview**: Enable all show flags for a comprehensive historical snapshot.\n\n## Usage Examples\n\n**1. Basic price history for a US product**\n```\nasin: B0XXXXXXXX, domain: 1, days: 90\n```\n\n**2. Long-term BSR trend (1 year) on the German marketplace**\n```\nasin: B0XXXXXXXX, domain: 3, days: 365, showBsrMain: 1\n```\n\n**3. Price comparison across fulfillment channels**\n```\nasin: B0XXXXXXXX, domain: 1, days: 30, showPriceFba: 1, showPriceFbm: 1, showPrice: 1\n```\n\n**4. Deal and coupon price tracking**\n```\nasin: B0XXXXXXXX, domain: 1, days: 90, showPriceDeal: 1, showPriceCoupon: 1\n```\n\n**5. Full product health check**\n```\nasin: B0XXXXXXXX, domain: 1, days: 90, showPrice: 1, showPriceList: 1, showPriceDeal: 1, showPricePrime: 1, showPriceFba: 1, showPriceFbm: 1, showPriceCoupon: 1, showBsrMain: 1, showSellerCount: 1\n```\n\n## Display Rules\n\n1. **Present data clearly**: Show time-series data in tables or describe trends; avoid subjective business advice unless the user explicitly asks for it.\n2. **BSR clarification**: When showing BSR data, remind users that lower values mean better (higher) sales ranks.\n3. **Price formatting**: Display prices with proper currency symbols matching the marketplace ($ for US, EUR for DE/FR/ES/IT, GBP for UK, JPY for JP, etc.).\n4. **Time formatting**: Present timestamps in a human-readable date format.\n5. **Trend summarization**: When data series are long, summarize the overall trend (e.g., \"price decreased from $29.99 to $24.99 over 90 days\") and highlight significant changes such as price drops, BSR spikes, or rating shifts.\n6. **Error handling**: When a query fails, explain the reason and suggest corrections (e.g., verify the ASIN is valid, check the marketplace domain ID).\n7. **Single ASIN limitation**: If the user asks about multiple ASINs, inform them that queries must be made one ASIN at a time, and run multiple sequential calls.\n## Important Limitations\n\n- **Single ASIN per query**: Only one ASIN can be queried at a time. For multi-ASIN comparisons, make separate requests.\n- **Maximum 365 days**: Historical data is limited to at most 365 days back.\n- **Data granularity**: Data points are at irregular intervals depending on when Keepa captured changes, not at fixed daily intervals.\n\n## User Expression & Scenario Quick Reference\n\n**Applicable** -- Historical product-level data queries on Amazon:\n\n| User Says | Scenario |\n|-----------|----------|\n| \"What's the price history for this ASIN\" | Price trend analysis |\n| \"Show me the BSR trend\", \"how is it ranking\" | BSR tracking |\n| \"Has the price dropped recently\", \"any deals\" | Price drop / deal detection |\n| \"How many sellers are on this listing\" | Seller count trend |\n| \"What's the rating trend\", \"review count over time\" | Rating / review tracking |\n| \"FBA vs FBM price\", \"who has the Buy Box\" | Fulfillment price comparison |\n| \"Monthly sales for this product\" | Sales volume trend |\n| \"Was there a price war on this ASIN\" | Competitive pricing analysis |\n| \"Show me the Keepa chart\", \"Keepa data\" | Explicit Keepa data requests |\n\n**Not applicable** -- Needs beyond product-level historical data:\n\n- Search term / keyword analysis (use ABA data instead)\n- Advertising / PPC campaign data\n- Listing copywriting or content optimization\n- Category-wide or market-level aggregate trends (this tool is per-ASIN only)\n- Real-time inventory or stock level checks\n- Product reviews text or sentiment analysis\n\n**Boundary judgment**: When users say \"product research\" or \"competitor analysis\", if it boils down to examining a specific ASIN's historical price, BSR, or sales data, this skill applies. If they need keyword data, market-wide trends, or advertising metrics, it does not apply.\n\n## 算力消耗规则\n\n按动态规则计费：消耗算力 = 0.045 × 本次历史趋势查询消耗的 Keepa token。\n\n> **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。\n\n**Feedback:**\n\nAuto-detect and report feedback via the Feedback API when any of the following apply:\n1. The functionality or purpose described in this skill does not match actual behavior\n2. The skill's results do not match the user's intent\n3. The user expresses dissatisfaction or praise about this skill\n4. Anything you believe could be improved\n\nCall the feedback API as specified in `references/api.md`. Do not interrupt the user's flow.\n\n\n---\n*For more high-quality, professional cross-border e-commerce skills, set [LinkFox Skills](https://skill.linkfox.com/).*\n\nFile v1.0.7:_meta.json\n\n{\n \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n \"slug\": \"linkfox-keepa-product-series\",\n \"version\": \"1.0.7\",\n \"publishedAt\": 1789363301755\n}\n\nFile v1.0.7:references/api.md\n\n# Keepa-亚马逊价格历史 API 参考\r\n\r\n## 调用规范\r\n\r\n- **请求地址**：`${LINKFOX_TOOL_GATEWAY}/keepa/productSeries`\r\n- **请求方式**：POST，Content-Type: application/json\r\n- **认证方式**：Header `Authorization: `，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取（如未配置 按 SKILL.md 的 **## 解决认证和算力问题** 处理）\r\n\r\n## 请求参数\r\n\r\nPOST Body（JSON）：\r\n\r\n| 参数 | 类型 | 必填 | 说明 |\r\n|------|------|------|------|\r\n| asin | string | 是 | 亚马逊标准识别号(ASIN)，只支持单个ASIN，最大长度1000 |\r\n| domain | string | 是 | 亚马逊域名ID。可选值：`1`（美国）、`2`（英国）、`3`（德国）、`4`（法国）、`5`（日本）、`6`（加拿大）、`8`（意大利）、`9`（西班牙）、`10`（印度）、`11`（墨西哥）、`12`（巴西） |\r\n| days | integer | 否 | 限制历史数据天数，默认 `90` 天，最大 `365` |\r\n| showPrice | integer | 否 | 设为 `1` 返回市场最低新品价曲线 |\r\n| showPriceList | integer | 否 | 设为 `1` 返回划线价/标价曲线 |\r\n| showPriceDeal | integer | 否 | 设为 `1` 返回闪促价格曲线 |\r\n| showPricePrime | integer | 否 | 设为 `1` 返回Prime专属新品价曲线 |\r\n| showPriceFba | integer | 否 | 设为 `1` 返回第三方FBA新品价曲线 |\r\n| showPriceFbm | integer | 否 | 设为 `1` 返回第三方FBM新品价曲线 |\r\n| showPriceCoupon | integer | 否 | 设为 `1` 返回优惠券后买盒价曲线 |\r\n| showBsrMain | integer | 否 | 设为 `1` 返回大类BSR曲线 |\r\n| showSellerCount | integer | 否 | 设为 `1` 返回卖家数曲线 |\r\n\r\n\r\n## 响应结构\r\n\r\n| 字段 | 类型 | 说明 |\r\n|------|------|------|\r\n| asin | string | ASIN |\r\n| buyboxPrice | array | Buybox价格（time=时间，value=Buybox价格） |\r\n| price | array | 价格（time=时间，value=价格） |\r\n| priceList | array | 划线价（time=时间，value=划线价格） |\r\n| priceDeal | array | Deal价格（time=时间，value=Deal价格） |\r\n| pricePrime | array | Prime价格（time=时间，value=Prime价格） |\r\n| priceFba | array | FBA价格（time=时间，value=FBA价格） |\r\n| priceFbm | array | FBM价格（time=时间，value=FBM价格） |\r\n| priceCoupon | array | coupon价格（time=时间，value=coupon价格） |\r\n| bsrMain | array | 大类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| bsrSub | array | 小类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| sellerCount | array | 卖家数（time=时间，value=卖家数） |\r\n| rating | array | 评分（time=时间，value=评分） |\r\n| ratingCount | array | 评分数（time=时间，value=评分数） |\r\n| monthlySold | array | 子体销量（time=时间，value=销量） |\r\n| costToken | integer | 消耗token |\r\n\r\n## 错误码\r\n\r\n正常情况下，接口的 HTTP 状态码均为 200，业务的成功与否通过响应体中的 errorCode 字段区分（errorCode = 200 表示成功，其他值表示业务错误）。当遇到未授权等情况时，HTTP 状态码为 401，且对应的 errorCode 也是 401。\r\n\r\n| errcode | 含义 | 处理建议 |\r\n|---------|------|----------|\r\n| 200 | 成功 | 正常解析业务字段 |\r\n| 401 | 认证失败 | HTTP 401 或 authorized error：按 SKILL.md 的 **## 解决认证和算力问题** 处理。|\r\n| 402 | - | HTTP 402：按 SKILL.md 的 **## 解决认证和算力问题** 处理。|\r\n| 其他非200值 | 业务异常 | 参考 `errmsg` 字段获取具体错误原因 |\r\n\r\n错误响应示例：\r\n\r\n```json\r\n{\r\n \"errcode\": 401,\r\n \"errmsg\": \"authorized error\"\r\n}\r\n```\r\n\r\n## curl 示例\r\n\r\n```bash\r\ncurl -X POST https://tool-gateway.linkfox.com/keepa/productSeries \\\r\n -H \"Authorization: $LINKFOXAGENT_API_KEY\" \\\r\n -H \"Content-Type: application/json\" \\\r\n -d '{\"asin\": \"B0DFRJ7WSX\", \"domain\": \"1\", \"days\": 90, \"showBsrMain\": 1, \"showPrice\": 1, \"showSellerCount\": 1}'\r\n```\r\n\r\n---\r\n\r\n## Feedback API\r\n\r\n> This endpoint is **separate** from the tool API above. Do not mix the two base URLs.\r\n\r\n- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`\r\n- **Content-Type:** `application/json`\r\n\r\n```json\r\n{\r\n \"skillName\": \"linkfox-xxx-xxx\",\r\n \"sentiment\": \"POSITIVE\",\r\n \"category\": \"OTHER\",\r\n \"content\": \"Results were accurate, user was satisfied.\"\r\n}\r\n```\r\n\r\n**Field rules:**\r\n- `skillName`: Use this skill's `name` from the YAML frontmatter\r\n- `sentiment`: Choose ONE — `POSITIVE` (praise), `NEUTRAL` (suggestion without emotion), `NEGATIVE` (complaint or error)\r\n- `category`: Choose ONE — `BUG` (malfunction or wrong data), `COMPLAINT` (user dissatisfaction), `SUGGESTION` (improvement idea), `OTHER`\r\n- `content`: Include what the user said or intended, what actually happened, and why it is a problem or praise\n\nFile v1.0.7:references/onboarding.md\n\n# 解决认证和算力问题\n\n调用本 skill 时若网关返回 **auth** 或 **billing** 错误，走本 skill 自带的 `scripts/onboarding.py` 完成引导。\n\n**auth 场景**：`errcode=401` 或消息含 `authorized error`/`鉴权失败`/`未授权`/`unauthorized`；或 `LINKFOX_AGENT_API_KEY` 与 `LINKFOXAGENT_API_KEY` 均为空。\n1. 若已配置 key → 先让用户重启会话（最常见误判），仍失败让用户重新取 key 或换手机号重注册\n2. 未配置 → 询问：自助去 https://agent.linkfox.com/ 取 key，或提供手机号让脚本注册\n3. 手机号路径：\n - `python scripts/onboarding.py send-code ` → 展示 JSON 里的 phone/agreements\n - 收到验证码后：`python scripts/onboarding.py login `\n - 拿到 `api_key` 后把下面三平台配置转发给用户，提示重启会话生效：\n - Windows PowerShell（永久）：`setx LINKFOX_AGENT_API_KEY \"\"`\n - macOS zsh：`echo 'export LINKFOX_AGENT_API_KEY=\"\"' >> ~/.zshrc && source ~/.zshrc`\n - Linux bash：`echo 'export LINKFOX_AGENT_API_KEY=\"\"' >> ~/.bashrc && source ~/.bashrc`\n - 变量名 `LINKFOX_AGENT_API_KEY`（主推）或 `LINKFOXAGENT_API_KEY`（老规范）任一即可\n\n**billing 场景**：`errcode=402` 或消息含 `算力/余额/quota/insufficient/充值/套餐到期`。\n- `python scripts/onboarding.py list-plans` → 有 AskUserQuestion 就弹菜单，否则输出编号清单让用户选\n- 校验 `plan_id` ∈ 清单、支付方式 ∈ 该套餐 `available_methods`（通常 `wechat/alipay`）\n- `python scripts/onboarding.py order ` → 展示优先级 PNG > `pay_url` > `ascii_qr`（标注兜底）\n- 已付款可选调 `python scripts/onboarding.py query `，不主动轮询\n\n排除 `errcode=403`（无权限，不归入这两类）。所有子命令输出 stdout JSON，`error` 字段已含阶段前缀，透传给用户即可。完整用法：`python scripts/onboarding.py --help`。\n\nFile v1.0.7:skill-card.md\n\n## Description:\n\nQueries Amazon product historical time-series data for a single ASIN, including price, BSR, rating, seller-count, and monthly-sales trends across supported Amazon marketplaces.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[linkfox-ai](https://clawhub.ai/user/linkfox-ai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal Amazon sellers, marketplace analysts, and developers use this skill to retrieve and interpret product-level historical trends for a specific ASIN. It is suited to price tracking, BSR trend review, fulfillment price comparison, seller-count changes, rating trends, and monthly sales history.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill requires LinkFox account onboarding and API credentials for authenticated requests.\n\nMitigation: Configure credentials only through the documented LinkFox flow, treat API keys and SMS codes as secrets, and avoid exposing them in prompts or logs.\n\nRisk: Queries may consume paid quota or trigger billing flows.\n\nMitigation: Review cost and payment actions before approval, and avoid repeated retries or broad probing when a request fails or returns empty data.\n\nRisk: Full API responses are persisted locally and may contain product research data or account-session context.\n\nMitigation: Store outputs in an appropriate workspace, review saved response files before sharing, and delete local artifacts that are no longer needed.\n\nRisk: Custom LINKFOX_* endpoint variables can redirect requests away from the default LinkFox services.\n\nMitigation: Use the default endpoints unless a trusted administrator has explicitly provided alternate endpoints for the session.\n\nRisk: The skill includes automatic external feedback reporting behavior.\n\nMitigation: Review feedback content before sending and avoid including secrets, personal data, or confidential product research.\n\n## Reference(s):\n\n- [ClawHub Skill Page](https://clawhub.ai/linkfox-ai/skills/linkfox-keepa-product-series)\n- [Keepa Amazon Price History API Reference](references/api.md)\n- [Authentication and Billing Onboarding](references/onboarding.md)\n- [LinkFox Skills](https://skill.linkfox.com/)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Shell commands, Configuration, JSON, Guidance]\n\n**Output Format:** [Markdown guidance with shell commands and JSON API responses or summaries]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Full API responses are saved locally; small responses can be printed inline, while large responses are summarized unless inline output is requested.]\n\n## Skill Version(s):\n\n1.0.7 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.0.6: 7 files, 23690 bytes\n\nFiles: references/api.md (4902b), references/onboarding.md (2046b), scripts/keepa_product_history.py (13061b), scripts/onboarding.py (24089b), skill-card.md (2786b), SKILL.md (10952b), _meta.json (147b)\n\nFile v1.0.6:SKILL.md\n\n---\nname: linkfox-keepa-product-series\ndescription: 查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及\"Keepa\"或\"时序数据\"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变化趋势），也应触发此技能。\n---\n\n# Keepa Product Time-Series Data Explorer\n\nThis skill guides you on how to query and analyze Amazon product historical time-series data, helping Amazon sellers track price movements, BSR trends, rating changes, and other key product metrics over time.\n\n## Core Concepts\n\nThis tool provides historical time-series data for individual Amazon products (ASINs) powered by Keepa. It returns timestamped data points for various metrics, allowing trend analysis over a configurable time window (up to 365 days). Each query targets a single ASIN in a specific Amazon marketplace.\n\n**Time-series format**: All data series are returned as arrays of `{time, value}` objects, where `time` is a timestamp and `value` is the metric at that point. BSR data includes a `categoryName` field along with a `points` array.\n\n**BSR logic**: A smaller BSR value means a better sales rank. Rank 1 is the top-selling product in its category. When a user says \"BSR improved\", it means the numeric value decreased; \"BSR dropped\" means the value increased.\n\n## Available Data Series\n\n| Series | Parameter | Description |\n|--------|-----------|-------------|\n| Buy Box Price | *(always returned)* | Buy Box price over time |\n| Lowest New Price | showPrice=1 | Lowest marketplace new item price |\n| List Price | showPriceList=1 | Strikethrough / list price |\n| Deal Price | showPriceDeal=1 | Lightning deal price |\n| Prime Exclusive Price | showPricePrime=1 | Prime-exclusive new item price |\n| FBA Price | showPriceFba=1 | Third-party FBA new item price |\n| FBM Price | showPriceFbm=1 | Third-party FBM new item price |\n| Coupon Price | showPriceCoupon=1 | Post-coupon Buy Box price |\n| Main Category BSR | showBsrMain=1 | Best Sellers Rank in the main (root) category |\n| Seller Count | showSellerCount=1 | Number of active sellers |\n| Rating | *(always returned)* | Product star rating over time |\n| Rating Count | *(always returned)* | Number of ratings over time |\n| Monthly Sales | *(always returned)* | Monthly unit sales volume |\n| Sub-category BSR | *(always returned)* | Best Sellers Rank in sub-categories |\n\n## Supported Marketplaces\n\n| Domain ID | Marketplace |\n|-----------|-------------|\n| 1 | Amazon.com (US) |\n| 2 | Amazon.co.uk (UK) |\n| 3 | Amazon.de (Germany) |\n| 4 | Amazon.fr (France) |\n| 5 | Amazon.co.jp (Japan) |\n| 6 | Amazon.ca (Canada) |\n| 8 | Amazon.it (Italy) |\n| 9 | Amazon.es (Spain) |\n| 10 | Amazon.in (India) |\n| 11 | Amazon.com.mx (Mexico) |\n| 12 | Amazon.com.br (Brazil) |\n\nDefault marketplace is **1** (US). Use domain=1 when the user does not specify a marketplace.\n\n## 调用方式\n\n- **API 端点**：`POST /keepa/productSeries`（完整参数/响应/错误码见 `references/api.md`）\n- **Python 脚本**：`python scripts/keepa_product_history.py '' [--inline]`\n- **成本约束**：本工具会消耗积分；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。\n\n**输出策略（脚本默认行为）**：\n- **始终**将完整响应写入 `/linkfox///data/linkfox-keepa-product-series-.json`（`` 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；`` 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）\n- 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout\n- 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）\n- 加 `--inline` 强制全量打印到 stdout（同样落盘）\n\n**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。\n\n## 解决认证和积分问题\n发生以下异常情况时，采用 references/onboarding.md 引导解决问题：\n\n### 异常情况\n- **未配置API Key**：环境变量未配置 `LINKFOX_AGENT_API_KEY`，也未配置 `LINKFOXAGENT_API_KEY`。\n- **响应401或402状态码**\n- **响应提示积分或余额不足**：消息含\"积分余额不足/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。\n\n## Parameter Guide\n\n### Required Parameters\n\n- **asin**: The Amazon Standard Identification Number to query. Only a single ASIN per request is supported.\n- **domain**: The Amazon marketplace domain ID (see table above). Always map the user's marketplace mention to the correct numeric ID.\n\n### Optional Parameters\n\n- **days**: Number of historical days to retrieve (1-365, default 90). Use 30 for short-term, 90 for medium-term, 365 for long-term analysis.\n- **show\\* flags**: Set any `show*` parameter to `1` to include that data series. By default, only the core series (Buy Box price, rating, rating count, monthly sales, sub-category BSR) are returned.\n\n### How to Choose Parameters\n\n1. **Price analysis**: Enable `showPrice`, `showPriceList`, `showPriceDeal`, `showPriceCoupon` as needed for the specific price comparison the user wants.\n2. **FBA vs FBM comparison**: Enable both `showPriceFba` and `showPriceFbm`.\n3. **BSR deep-dive**: Enable `showBsrMain` to get the root category BSR alongside the always-returned sub-category BSR.\n4. **Competitive landscape**: Enable `showSellerCount` to see how many sellers are competing.\n5. **Full product overview**: Enable all show flags for a comprehensive historical snapshot.\n\n## Usage Examples\n\n**1. Basic price history for a US product**\n```\nasin: B0XXXXXXXX, domain: 1, days: 90\n```\n\n**2. Long-term BSR trend (1 year) on the German marketplace**\n```\nasin: B0XXXXXXXX, domain: 3, days: 365, showBsrMain: 1\n```\n\n**3. Price comparison across fulfillment channels**\n```\nasin: B0XXXXXXXX, domain: 1, days: 30, showPriceFba: 1, showPriceFbm: 1, showPrice: 1\n```\n\n**4. Deal and coupon price tracking**\n```\nasin: B0XXXXXXXX, domain: 1, days: 90, showPriceDeal: 1, showPriceCoupon: 1\n```\n\n**5. Full product health check**\n```\nasin: B0XXXXXXXX, domain: 1, days: 90, showPrice: 1, showPriceList: 1, showPriceDeal: 1, showPricePrime: 1, showPriceFba: 1, showPriceFbm: 1, showPriceCoupon: 1, showBsrMain: 1, showSellerCount: 1\n```\n\n## Display Rules\n\n1. **Present data clearly**: Show time-series data in tables or describe trends; avoid subjective business advice unless the user explicitly asks for it.\n2. **BSR clarification**: When showing BSR data, remind users that lower values mean better (higher) sales ranks.\n3. **Price formatting**: Display prices with proper currency symbols matching the marketplace ($ for US, EUR for DE/FR/ES/IT, GBP for UK, JPY for JP, etc.).\n4. **Time formatting**: Present timestamps in a human-readable date format.\n5. **Trend summarization**: When data series are long, summarize the overall trend (e.g., \"price decreased from $29.99 to $24.99 over 90 days\") and highlight significant changes such as price drops, BSR spikes, or rating shifts.\n6. **Error handling**: When a query fails, explain the reason and suggest corrections (e.g., verify the ASIN is valid, check the marketplace domain ID).\n7. **Single ASIN limitation**: If the user asks about multiple ASINs, inform them that queries must be made one ASIN at a time, and run multiple sequential calls.\n## Important Limitations\n\n- **Single ASIN per query**: Only one ASIN can be queried at a time. For multi-ASIN comparisons, make separate requests.\n- **Maximum 365 days**: Historical data is limited to at most 365 days back.\n- **Data granularity**: Data points are at irregular intervals depending on when Keepa captured changes, not at fixed daily intervals.\n\n## User Expression & Scenario Quick Reference\n\n**Applicable** -- Historical product-level data queries on Amazon:\n\n| User Says | Scenario |\n|-----------|----------|\n| \"What's the price history for this ASIN\" | Price trend analysis |\n| \"Show me the BSR trend\", \"how is it ranking\" | BSR tracking |\n| \"Has the price dropped recently\", \"any deals\" | Price drop / deal detection |\n| \"How many sellers are on this listing\" | Seller count trend |\n| \"What's the rating trend\", \"review count over time\" | Rating / review tracking |\n| \"FBA vs FBM price\", \"who has the Buy Box\" | Fulfillment price comparison |\n| \"Monthly sales for this product\" | Sales volume trend |\n| \"Was there a price war on this ASIN\" | Competitive pricing analysis |\n| \"Show me the Keepa chart\", \"Keepa data\" | Explicit Keepa data requests |\n\n**Not applicable** -- Needs beyond product-level historical data:\n\n- Search term / keyword analysis (use ABA data instead)\n- Advertising / PPC campaign data\n- Listing copywriting or content optimization\n- Category-wide or market-level aggregate trends (this tool is per-ASIN only)\n- Real-time inventory or stock level checks\n- Product reviews text or sentiment analysis\n\n**Boundary judgment**: When users say \"product research\" or \"competitor analysis\", if it boils down to examining a specific ASIN's historical price, BSR, or sales data, this skill applies. If they need keyword data, market-wide trends, or advertising metrics, it does not apply.\n\n## 积分消耗规则\n\n按动态规则计费：消耗积分 = 0.045 × 本次历史趋势查询消耗的 Keepa token。\n\n> **重要**：本技能的服务按倍数动态计算，可能一次性消耗大量积分，必须提醒用户，由用户决定是否继续。\n\n**Feedback:**\n\nAuto-detect and report feedback via the Feedback API when any of the following apply:\n1. The functionality or purpose described in this skill does not match actual behavior\n2. The skill's results do not match the user's intent\n3. The user expresses dissatisfaction or praise about this skill\n4. Anything you believe could be improved\n\nCall the feedback API as specified in `references/api.md`. Do not interrupt the user's flow.\n\n\n---\n*For more high-quality, professional cross-border e-commerce skills, set [LinkFox Skills](https://skill.linkfox.com/).*\n\nFile v1.0.6:_meta.json\n\n{\n \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n \"slug\": \"linkfox-keepa-product-series\",\n \"version\": \"1.0.6\",\n \"publishedAt\": 1786719401160\n}\n\nFile v1.0.6:references/api.md\n\n# Keepa-亚马逊价格历史 API 参考\r\n\r\n## 调用规范\r\n\r\n- **请求地址**：`${LINKFOX_TOOL_GATEWAY}/keepa/productSeries`\r\n- **请求方式**：POST，Content-Type: application/json\r\n- **认证方式**：Header `Authorization: `，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取（如未配置 按 SKILL.md 的 **## 解决认证和积分问题** 处理）\r\n\r\n## 请求参数\r\n\r\nPOST Body（JSON）：\r\n\r\n| 参数 | 类型 | 必填 | 说明 |\r\n|------|------|------|------|\r\n| asin | string | 是 | 亚马逊标准识别号(ASIN)，只支持单个ASIN，最大长度1000 |\r\n| domain | string | 是 | 亚马逊域名ID。可选值：`1`（美国）、`2`（英国）、`3`（德国）、`4`（法国）、`5`（日本）、`6`（加拿大）、`8`（意大利）、`9`（西班牙）、`10`（印度）、`11`（墨西哥）、`12`（巴西） |\r\n| days | integer | 否 | 限制历史数据天数，默认 `90` 天，最大 `365` |\r\n| showPrice | integer | 否 | 设为 `1` 返回市场最低新品价曲线 |\r\n| showPriceList | integer | 否 | 设为 `1` 返回划线价/标价曲线 |\r\n| showPriceDeal | integer | 否 | 设为 `1` 返回闪促价格曲线 |\r\n| showPricePrime | integer | 否 | 设为 `1` 返回Prime专属新品价曲线 |\r\n| showPriceFba | integer | 否 | 设为 `1` 返回第三方FBA新品价曲线 |\r\n| showPriceFbm | integer | 否 | 设为 `1` 返回第三方FBM新品价曲线 |\r\n| showPriceCoupon | integer | 否 | 设为 `1` 返回优惠券后买盒价曲线 |\r\n| showBsrMain | integer | 否 | 设为 `1` 返回大类BSR曲线 |\r\n| showSellerCount | integer | 否 | 设为 `1` 返回卖家数曲线 |\r\n\r\n\r\n## 响应结构\r\n\r\n| 字段 | 类型 | 说明 |\r\n|------|------|------|\r\n| asin | string | ASIN |\r\n| buyboxPrice | array | Buybox价格（time=时间，value=Buybox价格） |\r\n| price | array | 价格（time=时间，value=价格） |\r\n| priceList | array | 划线价（time=时间，value=划线价格） |\r\n| priceDeal | array | Deal价格（time=时间，value=Deal价格） |\r\n| pricePrime | array | Prime价格（time=时间，value=Prime价格） |\r\n| priceFba | array | FBA价格（time=时间，value=FBA价格） |\r\n| priceFbm | array | FBM价格（time=时间，value=FBM价格） |\r\n| priceCoupon | array | coupon价格（time=时间，value=coupon价格） |\r\n| bsrMain | array | 大类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| bsrSub | array | 小类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| sellerCount | array | 卖家数（time=时间，value=卖家数） |\r\n| rating | array | 评分（time=时间，value=评分） |\r\n| ratingCount | array | 评分数（time=时间，value=评分数） |\r\n| monthlySold | array | 子体销量（time=时间，value=销量） |\r\n| costToken | integer | 消耗token |\r\n\r\n## 错误码\r\n\r\n正常情况下，接口的 HTTP 状态码均为 200，业务的成功与否通过响应体中的 errorCode 字段区分（errorCode = 200 表示成功，其他值表示业务错误）。当遇到未授权等情况时，HTTP 状态码为 401，且对应的 errorCode 也是 401。\r\n\r\n| errcode | 含义 | 处理建议 |\r\n|---------|------|----------|\r\n| 200 | 成功 | 正常解析业务字段 |\r\n| 401 | 认证失败 | HTTP 401 或 authorized error：按 SKILL.md 的 **## 解决认证和积分问题** 处理。|\r\n| 402 | - | HTTP 402：按 SKILL.md 的 **## 解决认证和积分问题** 处理。|\r\n| 其他非200值 | 业务异常 | 参考 `errmsg` 字段获取具体错误原因 |\r\n\r\n错误响应示例：\r\n\r\n```json\r\n{\r\n \"errcode\": 401,\r\n \"errmsg\": \"authorized error\"\r\n}\r\n```\r\n\r\n## curl 示例\r\n\r\n```bash\r\ncurl -X POST https://tool-gateway.linkfox.com/keepa/productSeries \\\r\n -H \"Authorization: $LINKFOXAGENT_API_KEY\" \\\r\n -H \"Content-Type: application/json\" \\\r\n -d '{\"asin\": \"B0DFRJ7WSX\", \"domain\": \"1\", \"days\": 90, \"showBsrMain\": 1, \"showPrice\": 1, \"showSellerCount\": 1}'\r\n```\r\n\r\n---\r\n\r\n## Feedback API\r\n\r\n> This endpoint is **separate** from the tool API above. Do not mix the two base URLs.\r\n\r\n- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`\r\n- **Content-Type:** `application/json`\r\n\r\n```json\r\n{\r\n \"skillName\": \"linkfox-xxx-xxx\",\r\n \"sentiment\": \"POSITIVE\",\r\n \"category\": \"OTHER\",\r\n \"content\": \"Results were accurate, user was satisfied.\"\r\n}\r\n```\r\n\r\n**Field rules:**\r\n- `skillName`: Use this skill's `name` from the YAML frontmatter\r\n- `sentiment`: Choose ONE — `POSITIVE` (praise), `NEUTRAL` (suggestion without emotion), `NEGATIVE` (complaint or error)\r\n- `category`: Choose ONE — `BUG` (malfunction or wrong data), `COMPLAINT` (user dissatisfaction), `SUGGESTION` (improvement idea), `OTHER`\r\n- `content`: Include what the user said or intended, what actually happened, and why it is a problem or praise\n\nFile v1.0.6:references/onboarding.md\n\n# 解决认证和积分问题\n\n调用本 skill 时若网关返回 **auth** 或 **billing** 错误，走本 skill 自带的 `scripts/onboarding.py` 完成引导。\n\n**auth 场景**：`errcode=401` 或消息含 `authorized error`/`鉴权失败`/`未授权`/`unauthorized`；或 `LINKFOX_AGENT_API_KEY` 与 `LINKFOXAGENT_API_KEY` 均为空。\n1. 若已配置 key → 先让用户重启会话（最常见误判），仍失败让用户重新取 key 或换手机号重注册\n2. 未配置 → 询问：自助去 https://agent.linkfox.com/ 取 key，或提供手机号让脚本注册\n3. 手机号路径：\n - `python scripts/onboarding.py send-code ` → 展示 JSON 里的 phone/agreements\n - 收到验证码后：`python scripts/onboarding.py login `（workbuddy 宿主加 `--channel workbuddy`）\n - 拿到 `api_key` 后把下面三平台配置转发给用户，提示重启会话生效：\n - Windows PowerShell（永久）：`setx LINKFOX_AGENT_API_KEY \"\"`\n - macOS zsh：`echo 'export LINKFOX_AGENT_API_KEY=\"\"' >> ~/.zshrc && source ~/.zshrc`\n - Linux bash：`echo 'export LINKFOX_AGENT_API_KEY=\"\"' >> ~/.bashrc && source ~/.bashrc`\n - 变量名 `LINKFOX_AGENT_API_KEY`（主推）或 `LINKFOXAGENT_API_KEY`（老规范）任一即可\n\n**billing 场景**：`errcode=402` 或消息含 `积分/余额/quota/insufficient/充值/套餐到期`。\n- `python scripts/onboarding.py list-plans` → 有 AskUserQuestion 就弹菜单，否则输出编号清单让用户选\n- 校验 `plan_id` ∈ 清单、支付方式 ∈ 该套餐 `available_methods`（通常 `wechat/alipay`）\n- `python scripts/onboarding.py order ` → 展示优先级 PNG > `pay_url` > `ascii_qr`（标注兜底）\n- 已付款可选调 `python scripts/onboarding.py query `，不主动轮询\n\n排除 `errcode=403`（无权限，不归入这两类）。所有子命令输出 stdout JSON，`error` 字段已含阶段前缀，透传给用户即可。完整用法：`python scripts/onboarding.py --help`。\n\nFile v1.0.6:skill-card.md\n\n## Description:\n\nQueries Amazon product historical time-series data for a single ASIN, including price, BSR, rating, seller count, and monthly sales trends across supported marketplaces.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[linkfox-ai](https://clawhub.ai/user/linkfox-ai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nAmazon sellers, ecommerce analysts, and agents use this skill to retrieve and summarize Keepa-backed historical product metrics for a specific ASIN. It supports pricing, ranking, fulfillment-price, seller-count, rating, and sales-trend comparisons within the documented marketplace and time-window limits.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill uses LinkFox network services and reads a LinkFox API key from environment variables.\n\nMitigation: Install only in workspaces where the gateway URLs and environment variables are controlled, and avoid shared or untrusted environments.\n\nRisk: The skill can help create or retrieve LinkFox account credentials during onboarding.\n\nMitigation: Use the onboarding flow only with trusted account details, review generated API-key handling, and restart sessions after setting credentials.\n\nRisk: The billing flow can initiate paid plan orders when credits are insufficient.\n\nMitigation: Require explicit user confirmation before listing plans or creating payment orders, and do not automatically poll or repeat paid actions.\n\nRisk: Full API responses and payment QR artifacts may be stored locally.\n\nMitigation: Run the skill in a private workspace and review or clean the LinkFox output directory when responses or payment artifacts may contain sensitive data.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/linkfox-ai/skills/linkfox-keepa-product-series)\n- [Keepa Amazon price history API reference](references/api.md)\n- [Authentication and billing onboarding](references/onboarding.md)\n- [LinkFox Skills](https://skill.linkfox.com/)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, JSON, files, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown summaries and tables, JSON API responses, local JSON files, and shell commands for API use or onboarding.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Full API responses are saved locally under a LinkFox session directory; large responses are summarized unless inline output is requested.]\n\n## Skill Version(s):\n\n1.0.6 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.0.5: 7 files, 23568 bytes\n\nFiles: references/api.md (4902b), references/onboarding.md (2046b), scripts/keepa_product_history.py (13061b), scripts/onboarding.py (24089b), skill-card.md (2427b), SKILL.md (10952b), _meta.json (147b)\n\nFile v1.0.5:SKILL.md\n\n---\nname: linkfox-keepa-product-series\ndescription: 查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及\"Keepa\"或\"时序数据\"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变化趋势），也应触发此技能。\n---\n\n# Keepa Product Time-Series Data Explorer\n\nThis skill guides you on how to query and analyze Amazon product historical time-series data, helping Amazon sellers track price movements, BSR trends, rating changes, and other key product metrics over time.\n\n## Core Concepts\n\nThis tool provides historical time-series data for individual Amazon products (ASINs) powered by Keepa. It returns timestamped data points for various metrics, allowing trend analysis over a configurable time window (up to 365 days). Each query targets a single ASIN in a specific Amazon marketplace.\n\n**Time-series format**: All data series are returned as arrays of `{time, value}` objects, where `time` is a timestamp and `value` is the metric at that point. BSR data includes a `categoryName` field along with a `points` array.\n\n**BSR logic**: A smaller BSR value means a better sales rank. Rank 1 is the top-selling product in its category. When a user says \"BSR improved\", it means the numeric value decreased; \"BSR dropped\" means the value increased.\n\n## Available Data Series\n\n| Series | Parameter | Description |\n|--------|-----------|-------------|\n| Buy Box Price | *(always returned)* | Buy Box price over time |\n| Lowest New Price | showPrice=1 | Lowest marketplace new item price |\n| List Price | showPriceList=1 | Strikethrough / list price |\n| Deal Price | showPriceDeal=1 | Lightning deal price |\n| Prime Exclusive Price | showPricePrime=1 | Prime-exclusive new item price |\n| FBA Price | showPriceFba=1 | Third-party FBA new item price |\n| FBM Price | showPriceFbm=1 | Third-party FBM new item price |\n| Coupon Price | showPriceCoupon=1 | Post-coupon Buy Box price |\n| Main Category BSR | showBsrMain=1 | Best Sellers Rank in the main (root) category |\n| Seller Count | showSellerCount=1 | Number of active sellers |\n| Rating | *(always returned)* | Product star rating over time |\n| Rating Count | *(always returned)* | Number of ratings over time |\n| Monthly Sales | *(always returned)* | Monthly unit sales volume |\n| Sub-category BSR | *(always returned)* | Best Sellers Rank in sub-categories |\n\n## Supported Marketplaces\n\n| Domain ID | Marketplace |\n|-----------|-------------|\n| 1 | Amazon.com (US) |\n| 2 | Amazon.co.uk (UK) |\n| 3 | Amazon.de (Germany) |\n| 4 | Amazon.fr (France) |\n| 5 | Amazon.co.jp (Japan) |\n| 6 | Amazon.ca (Canada) |\n| 8 | Amazon.it (Italy) |\n| 9 | Amazon.es (Spain) |\n| 10 | Amazon.in (India) |\n| 11 | Amazon.com.mx (Mexico) |\n| 12 | Amazon.com.br (Brazil) |\n\nDefault marketplace is **1** (US). Use domain=1 when the user does not specify a marketplace.\n\n## 调用方式\n\n- **API 端点**：`POST /keepa/productSeries`（完整参数/响应/错误码见 `references/api.md`）\n- **Python 脚本**：`python scripts/keepa_product_history.py '' [--inline]`\n- **成本约束**：本工具会消耗积分；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。\n\n**输出策略（脚本默认行为）**：\n- **始终**将完整响应写入 `/linkfox///data/linkfox-keepa-product-series-.json`（`` 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；`` 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）\n- 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout\n- 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）\n- 加 `--inline` 强制全量打印到 stdout（同样落盘）\n\n**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。\n\n## 解决认证和积分问题\n发生以下异常情况时，采用 references/onboarding.md 引导解决问题：\n\n### 异常情况\n- **未配置API Key**：环境变量未配置 `LINKFOX_AGENT_API_KEY`，也未配置 `LINKFOXAGENT_API_KEY`。\n- **响应401或402状态码**\n- **响应提示积分或余额不足**：消息含\"积分余额不足/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。\n\n## Parameter Guide\n\n### Required Parameters\n\n- **asin**: The Amazon Standard Identification Number to query. Only a single ASIN per request is supported.\n- **domain**: The Amazon marketplace domain ID (see table above). Always map the user's marketplace mention to the correct numeric ID.\n\n### Optional Parameters\n\n- **days**: Number of historical days to retrieve (1-365, default 90). Use 30 for short-term, 90 for medium-term, 365 for long-term analysis.\n- **show\\* flags**: Set any `show*` parameter to `1` to include that data series. By default, only the core series (Buy Box price, rating, rating count, monthly sales, sub-category BSR) are returned.\n\n### How to Choose Parameters\n\n1. **Price analysis**: Enable `showPrice`, `showPriceList`, `showPriceDeal`, `showPriceCoupon` as needed for the specific price comparison the user wants.\n2. **FBA vs FBM comparison**: Enable both `showPriceFba` and `showPriceFbm`.\n3. **BSR deep-dive**: Enable `showBsrMain` to get the root category BSR alongside the always-returned sub-category BSR.\n4. **Competitive landscape**: Enable `showSellerCount` to see how many sellers are competing.\n5. **Full product overview**: Enable all show flags for a comprehensive historical snapshot.\n\n## Usage Examples\n\n**1. Basic price history for a US product**\n```\nasin: B0XXXXXXXX, domain: 1, days: 90\n```\n\n**2. Long-term BSR trend (1 year) on the German marketplace**\n```\nasin: B0XXXXXXXX, domain: 3, days: 365, showBsrMain: 1\n```\n\n**3. Price comparison across fulfillment channels**\n```\nasin: B0XXXXXXXX, domain: 1, days: 30, showPriceFba: 1, showPriceFbm: 1, showPrice: 1\n```\n\n**4. Deal and coupon price tracking**\n```\nasin: B0XXXXXXXX, domain: 1, days: 90, showPriceDeal: 1, showPriceCoupon: 1\n```\n\n**5. Full product health check**\n```\nasin: B0XXXXXXXX, domain: 1, days: 90, showPrice: 1, showPriceList: 1, showPriceDeal: 1, showPricePrime: 1, showPriceFba: 1, showPriceFbm: 1, showPriceCoupon: 1, showBsrMain: 1, showSellerCount: 1\n```\n\n## Display Rules\n\n1. **Present data clearly**: Show time-series data in tables or describe trends; avoid subjective business advice unless the user explicitly asks for it.\n2. **BSR clarification**: When showing BSR data, remind users that lower values mean better (higher) sales ranks.\n3. **Price formatting**: Display prices with proper currency symbols matching the marketplace ($ for US, EUR for DE/FR/ES/IT, GBP for UK, JPY for JP, etc.).\n4. **Time formatting**: Present timestamps in a human-readable date format.\n5. **Trend summarization**: When data series are long, summarize the overall trend (e.g., \"price decreased from $29.99 to $24.99 over 90 days\") and highlight significant changes such as price drops, BSR spikes, or rating shifts.\n6. **Error handling**: When a query fails, explain the reason and suggest corrections (e.g., verify the ASIN is valid, check the marketplace domain ID).\n7. **Single ASIN limitation**: If the user asks about multiple ASINs, inform them that queries must be made one ASIN at a time, and run multiple sequential calls.\n## Important Limitations\n\n- **Single ASIN per query**: Only one ASIN can be queried at a time. For multi-ASIN comparisons, make separate requests.\n- **Maximum 365 days**: Historical data is limited to at most 365 days back.\n- **Data granularity**: Data points are at irregular intervals depending on when Keepa captured changes, not at fixed daily intervals.\n\n## User Expression & Scenario Quick Reference\n\n**Applicable** -- Historical product-level data queries on Amazon:\n\n| User Says | Scenario |\n|-----------|----------|\n| \"What's the price history for this ASIN\" | Price trend analysis |\n| \"Show me the BSR trend\", \"how is it ranking\" | BSR tracking |\n| \"Has the price dropped recently\", \"any deals\" | Price drop / deal detection |\n| \"How many sellers are on this listing\" | Seller count trend |\n| \"What's the rating trend\", \"review count over time\" | Rating / review tracking |\n| \"FBA vs FBM price\", \"who has the Buy Box\" | Fulfillment price comparison |\n| \"Monthly sales for this product\" | Sales volume trend |\n| \"Was there a price war on this ASIN\" | Competitive pricing analysis |\n| \"Show me the Keepa chart\", \"Keepa data\" | Explicit Keepa data requests |\n\n**Not applicable** -- Needs beyond product-level historical data:\n\n- Search term / keyword analysis (use ABA data instead)\n- Advertising / PPC campaign data\n- Listing copywriting or content optimization\n- Category-wide or market-level aggregate trends (this tool is per-ASIN only)\n- Real-time inventory or stock level checks\n- Product reviews text or sentiment analysis\n\n**Boundary judgment**: When users say \"product research\" or \"competitor analysis\", if it boils down to examining a specific ASIN's historical price, BSR, or sales data, this skill applies. If they need keyword data, market-wide trends, or advertising metrics, it does not apply.\n\n## 积分消耗规则\n\n按动态规则计费：消耗积分 = 0.045 × 本次历史趋势查询消耗的 Keepa token。\n\n> **重要**：本技能的服务按倍数动态计算，可能一次性消耗大量积分，必须提醒用户，由用户决定是否继续。\n\n**Feedback:**\n\nAuto-detect and report feedback via the Feedback API when any of the following apply:\n1. The functionality or purpose described in this skill does not match actual behavior\n2. The skill's results do not match the user's intent\n3. The user expresses dissatisfaction or praise about this skill\n4. Anything you believe could be improved\n\nCall the feedback API as specified in `references/api.md`. Do not interrupt the user's flow.\n\n\n---\n*For more high-quality, professional cross-border e-commerce skills, set [LinkFox Skills](https://skill.linkfox.com/).*\n\nFile v1.0.5:_meta.json\n\n{\n \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n \"slug\": \"linkfox-keepa-product-series\",\n \"version\": \"1.0.5\",\n \"publishedAt\": 1786099945006\n}\n\nFile v1.0.5:references/api.md\n\n# Keepa-亚马逊价格历史 API 参考\r\n\r\n## 调用规范\r\n\r\n- **请求地址**：`${LINKFOX_TOOL_GATEWAY}/keepa/productSeries`\r\n- **请求方式**：POST，Content-Type: application/json\r\n- **认证方式**：Header `Authorization: `，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取（如未配置 按 SKILL.md 的 **## 解决认证和积分问题** 处理）\r\n\r\n## 请求参数\r\n\r\nPOST Body（JSON）：\r\n\r\n| 参数 | 类型 | 必填 | 说明 |\r\n|------|------|------|------|\r\n| asin | string | 是 | 亚马逊标准识别号(ASIN)，只支持单个ASIN，最大长度1000 |\r\n| domain | string | 是 | 亚马逊域名ID。可选值：`1`（美国）、`2`（英国）、`3`（德国）、`4`（法国）、`5`（日本）、`6`（加拿大）、`8`（意大利）、`9`（西班牙）、`10`（印度）、`11`（墨西哥）、`12`（巴西） |\r\n| days | integer | 否 | 限制历史数据天数，默认 `90` 天，最大 `365` |\r\n| showPrice | integer | 否 | 设为 `1` 返回市场最低新品价曲线 |\r\n| showPriceList | integer | 否 | 设为 `1` 返回划线价/标价曲线 |\r\n| showPriceDeal | integer | 否 | 设为 `1` 返回闪促价格曲线 |\r\n| showPricePrime | integer | 否 | 设为 `1` 返回Prime专属新品价曲线 |\r\n| showPriceFba | integer | 否 | 设为 `1` 返回第三方FBA新品价曲线 |\r\n| showPriceFbm | integer | 否 | 设为 `1` 返回第三方FBM新品价曲线 |\r\n| showPriceCoupon | integer | 否 | 设为 `1` 返回优惠券后买盒价曲线 |\r\n| showBsrMain | integer | 否 | 设为 `1` 返回大类BSR曲线 |\r\n| showSellerCount | integer | 否 | 设为 `1` 返回卖家数曲线 |\r\n\r\n\r\n## 响应结构\r\n\r\n| 字段 | 类型 | 说明 |\r\n|------|------|------|\r\n| asin | string | ASIN |\r\n| buyboxPrice | array | Buybox价格（time=时间，value=Buybox价格） |\r\n| price | array | 价格（time=时间，value=价格） |\r\n| priceList | array | 划线价（time=时间，value=划线价格） |\r\n| priceDeal | array | Deal价格（time=时间，value=Deal价格） |\r\n| pricePrime | array | Prime价格（time=时间，value=Prime价格） |\r\n| priceFba | array | FBA价格（time=时间，value=FBA价格） |\r\n| priceFbm | array | FBM价格（time=时间，value=FBM价格） |\r\n| priceCoupon | array | coupon价格（time=时间，value=coupon价格） |\r\n| bsrMain | array | 大类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| bsrSub | array | 小类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| sellerCount | array | 卖家数（time=时间，value=卖家数） |\r\n| rating | array | 评分（time=时间，value=评分） |\r\n| ratingCount | array | 评分数（time=时间，value=评分数） |\r\n| monthlySold | array | 子体销量（time=时间，value=销量） |\r\n| costToken | integer | 消耗token |\r\n\r\n## 错误码\r\n\r\n正常情况下，接口的 HTTP 状态码均为 200，业务的成功与否通过响应体中的 errorCode 字段区分（errorCode = 200 表示成功，其他值表示业务错误）。当遇到未授权等情况时，HTTP 状态码为 401，且对应的 errorCode 也是 401。\r\n\r\n| errcode | 含义 | 处理建议 |\r\n|---------|------|----------|\r\n| 200 | 成功 | 正常解析业务字段 |\r\n| 401 | 认证失败 | HTTP 401 或 authorized error：按 SKILL.md 的 **## 解决认证和积分问题** 处理。|\r\n| 402 | - | HTTP 402：按 SKILL.md 的 **## 解决认证和积分问题** 处理。|\r\n| 其他非200值 | 业务异常 | 参考 `errmsg` 字段获取具体错误原因 |\r\n\r\n错误响应示例：\r\n\r\n```json\r\n{\r\n \"errcode\": 401,\r\n \"errmsg\": \"authorized error\"\r\n}\r\n```\r\n\r\n## curl 示例\r\n\r\n```bash\r\ncurl -X POST https://tool-gateway.linkfox.com/keepa/productSeries \\\r\n -H \"Authorization: $LINKFOXAGENT_API_KEY\" \\\r\n -H \"Content-Type: application/json\" \\\r\n -d '{\"asin\": \"B0DFRJ7WSX\", \"domain\": \"1\", \"days\": 90, \"showBsrMain\": 1, \"showPrice\": 1, \"showSellerCount\": 1}'\r\n```\r\n\r\n---\r\n\r\n## Feedback API\r\n\r\n> This endpoint is **separate** from the tool API above. Do not mix the two base URLs.\r\n\r\n- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`\r\n- **Content-Type:** `application/json`\r\n\r\n```json\r\n{\r\n \"skillName\": \"linkfox-xxx-xxx\",\r\n \"sentiment\": \"POSITIVE\",\r\n \"category\": \"OTHER\",\r\n \"content\": \"Results were accurate, user was satisfied.\"\r\n}\r\n```\r\n\r\n**Field rules:**\r\n- `skillName`: Use this skill's `name` from the YAML frontmatter\r\n- `sentiment`: Choose ONE — `POSITIVE` (praise), `NEUTRAL` (suggestion without emotion), `NEGATIVE` (complaint or error)\r\n- `category`: Choose ONE — `BUG` (malfunction or wrong data), `COMPLAINT` (user dissatisfaction), `SUGGESTION` (improvement idea), `OTHER`\r\n- `content`: Include what the user said or intended, what actually happened, and why it is a problem or praise\n\nFile v1.0.5:references/onboarding.md\n\n# 解决认证和积分问题\n\n调用本 skill 时若网关返回 **auth** 或 **billing** 错误，走本 skill 自带的 `scripts/onboarding.py` 完成引导。\n\n**auth 场景**：`errcode=401` 或消息含 `authorized error`/`鉴权失败`/`未授权`/`unauthorized`；或 `LINKFOX_AGENT_API_KEY` 与 `LINKFOXAGENT_API_KEY` 均为空。\n1. 若已配置 key → 先让用户重启会话（最常见误判），仍失败让用户重新取 key 或换手机号重注册\n2. 未配置 → 询问：自助去 https://agent.linkfox.com/ 取 key，或提供手机号让脚本注册\n3. 手机号路径：\n - `python scripts/onboarding.py send-code ` → 展示 JSON 里的 phone/agreements\n - 收到验证码后：`python scripts/onboarding.py login `（workbuddy 宿主加 `--channel workbuddy`）\n - 拿到 `api_key` 后把下面三平台配置转发给用户，提示重启会话生效：\n - Windows PowerShell（永久）：`setx LINKFOX_AGENT_API_KEY \"\"`\n - macOS zsh：`echo 'export LINKFOX_AGENT_API_KEY=\"\"' >> ~/.zshrc && source ~/.zshrc`\n - Linux bash：`echo 'export LINKFOX_AGENT_API_KEY=\"\"' >> ~/.bashrc && source ~/.bashrc`\n - 变量名 `LINKFOX_AGENT_API_KEY`（主推）或 `LINKFOXAGENT_API_KEY`（老规范）任一即可\n\n**billing 场景**：`errcode=402` 或消息含 `积分/余额/quota/insufficient/充值/套餐到期`。\n- `python scripts/onboarding.py list-plans` → 有 AskUserQuestion 就弹菜单，否则输出编号清单让用户选\n- 校验 `plan_id` ∈ 清单、支付方式 ∈ 该套餐 `available_methods`（通常 `wechat/alipay`）\n- `python scripts/onboarding.py order ` → 展示优先级 PNG > `pay_url` > `ascii_qr`（标注兜底）\n- 已付款可选调 `python scripts/onboarding.py query `，不主动轮询\n\n排除 `errcode=403`（无权限，不归入这两类）。所有子命令输出 stdout JSON，`error` 字段已含阶段前缀，透传给用户即可。完整用法：`python scripts/onboarding.py --help`。\n\nFile v1.0.5:skill-card.md\n\n## Description:\n\nQueries historical Amazon product time-series data for a single ASIN, including price, BSR, rating, seller-count, and monthly sales trends across supported marketplaces.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[linkfox-ai](https://clawhub.ai/user/linkfox-ai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and e-commerce operators use this skill to retrieve and summarize Keepa-powered historical data for Amazon ASINs. It supports price-history checks, BSR tracking, seller-count review, rating trends, and fulfillment-price comparisons for product research workflows.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill can handle account login, API keys, billing, payment links, feedback reports, and stored product-history data.\n\nMitigation: Install only if you trust LinkFox, configure credentials yourself where possible, and avoid providing phone or payment details through an agent unless you intend to use those flows.\n\nRisk: Product-history responses are persisted in a workspace linkfox directory.\n\nMitigation: Review the saved output directory for sensitive product-research data and remove files that should not remain in the workspace.\n\nRisk: Queries consume credits and dynamic Keepa token costs may be high.\n\nMitigation: Confirm user intent before additional paid queries and reuse the documented 24-hour cache for repeated parameter sets.\n\n## Reference(s):\n\n- [Keepa API reference](references/api.md)\n- [Authentication and billing onboarding](references/onboarding.md)\n- [ClawHub skill listing](https://clawhub.ai/linkfox-ai/skills/linkfox-keepa-product-series)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown guidance with JSON API responses and saved JSON files]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Writes full API responses under a workspace linkfox directory, summarizes large responses, and uses a 24-hour local cache for repeated parameter sets.]\n\n## Skill Version(s):\n\n1.0.5 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.0.4: 5 files, 14752 bytes\n\nFiles: references/api.md (4902b), scripts/keepa_product_history.py (13061b), skill-card.md (2696b), SKILL.md (11569b), _meta.json (147b)\n\nFile v1.0.4:SKILL.md\n\n---\nname: linkfox-keepa-product-series\ndescription: 查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及\"Keepa\"或\"时序数据\"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变化趋势），也应触发此技能。\n---\n\n# Keepa Product Time-Series Data Explorer\n\nThis skill guides you on how to query and analyze Amazon product historical time-series data, helping Amazon sellers track price movements, BSR trends, rating changes, and other key product metrics over time.\n\n## Core Concepts\n\nThis tool provides historical time-series data for individual Amazon products (ASINs) powered by Keepa. It returns timestamped data points for various metrics, allowing trend analysis over a configurable time window (up to 365 days). Each query targets a single ASIN in a specific Amazon marketplace.\n\n**Time-series format**: All data series are returned as arrays of `{time, value}` objects, where `time` is a timestamp and `value` is the metric at that point. BSR data includes a `categoryName` field along with a `points` array.\n\n**BSR logic**: A smaller BSR value means a better sales rank. Rank 1 is the top-selling product in its category. When a user says \"BSR improved\", it means the numeric value decreased; \"BSR dropped\" means the value increased.\n\n## Available Data Series\n\n| Series | Parameter | Description |\n|--------|-----------|-------------|\n| Buy Box Price | *(always returned)* | Buy Box price over time |\n| Lowest New Price | showPrice=1 | Lowest marketplace new item price |\n| List Price | showPriceList=1 | Strikethrough / list price |\n| Deal Price | showPriceDeal=1 | Lightning deal price |\n| Prime Exclusive Price | showPricePrime=1 | Prime-exclusive new item price |\n| FBA Price | showPriceFba=1 | Third-party FBA new item price |\n| FBM Price | showPriceFbm=1 | Third-party FBM new item price |\n| Coupon Price | showPriceCoupon=1 | Post-coupon Buy Box price |\n| Main Category BSR | showBsrMain=1 | Best Sellers Rank in the main (root) category |\n| Seller Count | showSellerCount=1 | Number of active sellers |\n| Rating | *(always returned)* | Product star rating over time |\n| Rating Count | *(always returned)* | Number of ratings over time |\n| Monthly Sales | *(always returned)* | Monthly unit sales volume |\n| Sub-category BSR | *(always returned)* | Best Sellers Rank in sub-categories |\n\n## Supported Marketplaces\n\n| Domain ID | Marketplace |\n|-----------|-------------|\n| 1 | Amazon.com (US) |\n| 2 | Amazon.co.uk (UK) |\n| 3 | Amazon.de (Germany) |\n| 4 | Amazon.fr (France) |\n| 5 | Amazon.co.jp (Japan) |\n| 6 | Amazon.ca (Canada) |\n| 8 | Amazon.it (Italy) |\n| 9 | Amazon.es (Spain) |\n| 10 | Amazon.in (India) |\n| 11 | Amazon.com.mx (Mexico) |\n| 12 | Amazon.com.br (Brazil) |\n\nDefault marketplace is **1** (US). Use domain=1 when the user does not specify a marketplace.\n\n## 调用方式\n\n- **API 端点**：`POST /keepa/productSeries`（完整参数/响应/错误码见 `references/api.md`）\n- **Python 脚本**：`python scripts/keepa_product_history.py '' [--inline]`\n- **成本约束**：本工具会消耗积分；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。\n\n**输出策略（脚本默认行为）**：\n- **始终**将完整响应写入 `/linkfox///data/linkfox-keepa-product-series-.json`（`` 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；`` 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）\n- 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout\n- 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）\n- 加 `--inline` 强制全量打印到 stdout（同样落盘）\n\n**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。\n\n## 解决认证和积分问题\n发生以下异常情况时，采用以下措施来处理：\n\n### 异常情况\n- **未配置API Key**：环境变量未配置 `LINKFOX_AGENT_API_KEY`，也未配置 `LINKFOXAGENT_API_KEY`。\n- **响应401或402状态码**\n- **响应提示积分或余额不足**：消息含\"积分余额不足/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。\n\n### 措施\n- 优先采用skill内的 onboarding.md 引导解决问题。\n- 如找不到 onboarding.md 文件，则加载 /linkfox-onboarding 这个skill并根据它的引导来处理。如未安装请先安装：\n - 下载 https://agent-files.linkfox.com/skills/linkfox-onboarding/release.zip，解压后安装这个skill。如需用户授权才可下载，要询问用户获得授权，你不能自己放弃下载。\n- 兜底措施：仅当前面两个措施经过所有努力都走不通时，才提示用户依据 https://skill.linkfox.com/linkfoxskills/guide.htm 指引获取API Key，或去 https://os.linkfox.com/ 补充积分。\n\n## Parameter Guide\n\n### Required Parameters\n\n- **asin**: The Amazon Standard Identification Number to query. Only a single ASIN per request is supported.\n- **domain**: The Amazon marketplace domain ID (see table above). Always map the user's marketplace mention to the correct numeric ID.\n\n### Optional Parameters\n\n- **days**: Number of historical days to retrieve (1-365, default 90). Use 30 for short-term, 90 for medium-term, 365 for long-term analysis.\n- **show\\* flags**: Set any `show*` parameter to `1` to include that data series. By default, only the core series (Buy Box price, rating, rating count, monthly sales, sub-category BSR) are returned.\n\n### How to Choose Parameters\n\n1. **Price analysis**: Enable `showPrice`, `showPriceList`, `showPriceDeal`, `showPriceCoupon` as needed for the specific price comparison the user wants.\n2. **FBA vs FBM comparison**: Enable both `showPriceFba` and `showPriceFbm`.\n3. **BSR deep-dive**: Enable `showBsrMain` to get the root category BSR alongside the always-returned sub-category BSR.\n4. **Competitive landscape**: Enable `showSellerCount` to see how many sellers are competing.\n5. **Full product overview**: Enable all show flags for a comprehensive historical snapshot.\n\n## Usage Examples\n\n**1. Basic price history for a US product**\n```\nasin: B0XXXXXXXX, domain: 1, days: 90\n```\n\n**2. Long-term BSR trend (1 year) on the German marketplace**\n```\nasin: B0XXXXXXXX, domain: 3, days: 365, showBsrMain: 1\n```\n\n**3. Price comparison across fulfillment channels**\n```\nasin: B0XXXXXXXX, domain: 1, days: 30, showPriceFba: 1, showPriceFbm: 1, showPrice: 1\n```\n\n**4. Deal and coupon price tracking**\n```\nasin: B0XXXXXXXX, domain: 1, days: 90, showPriceDeal: 1, showPriceCoupon: 1\n```\n\n**5. Full product health check**\n```\nasin: B0XXXXXXXX, domain: 1, days: 90, showPrice: 1, showPriceList: 1, showPriceDeal: 1, showPricePrime: 1, showPriceFba: 1, showPriceFbm: 1, showPriceCoupon: 1, showBsrMain: 1, showSellerCount: 1\n```\n\n## Display Rules\n\n1. **Present data clearly**: Show time-series data in tables or describe trends; avoid subjective business advice unless the user explicitly asks for it.\n2. **BSR clarification**: When showing BSR data, remind users that lower values mean better (higher) sales ranks.\n3. **Price formatting**: Display prices with proper currency symbols matching the marketplace ($ for US, EUR for DE/FR/ES/IT, GBP for UK, JPY for JP, etc.).\n4. **Time formatting**: Present timestamps in a human-readable date format.\n5. **Trend summarization**: When data series are long, summarize the overall trend (e.g., \"price decreased from $29.99 to $24.99 over 90 days\") and highlight significant changes such as price drops, BSR spikes, or rating shifts.\n6. **Error handling**: When a query fails, explain the reason and suggest corrections (e.g., verify the ASIN is valid, check the marketplace domain ID).\n7. **Single ASIN limitation**: If the user asks about multiple ASINs, inform them that queries must be made one ASIN at a time, and run multiple sequential calls.\n## Important Limitations\n\n- **Single ASIN per query**: Only one ASIN can be queried at a time. For multi-ASIN comparisons, make separate requests.\n- **Maximum 365 days**: Historical data is limited to at most 365 days back.\n- **Data granularity**: Data points are at irregular intervals depending on when Keepa captured changes, not at fixed daily intervals.\n\n## User Expression & Scenario Quick Reference\n\n**Applicable** -- Historical product-level data queries on Amazon:\n\n| User Says | Scenario |\n|-----------|----------|\n| \"What's the price history for this ASIN\" | Price trend analysis |\n| \"Show me the BSR trend\", \"how is it ranking\" | BSR tracking |\n| \"Has the price dropped recently\", \"any deals\" | Price drop / deal detection |\n| \"How many sellers are on this listing\" | Seller count trend |\n| \"What's the rating trend\", \"review count over time\" | Rating / review tracking |\n| \"FBA vs FBM price\", \"who has the Buy Box\" | Fulfillment price comparison |\n| \"Monthly sales for this product\" | Sales volume trend |\n| \"Was there a price war on this ASIN\" | Competitive pricing analysis |\n| \"Show me the Keepa chart\", \"Keepa data\" | Explicit Keepa data requests |\n\n**Not applicable** -- Needs beyond product-level historical data:\n\n- Search term / keyword analysis (use ABA data instead)\n- Advertising / PPC campaign data\n- Listing copywriting or content optimization\n- Category-wide or market-level aggregate trends (this tool is per-ASIN only)\n- Real-time inventory or stock level checks\n- Product reviews text or sentiment analysis\n\n**Boundary judgment**: When users say \"product research\" or \"competitor analysis\", if it boils down to examining a specific ASIN's historical price, BSR, or sales data, this skill applies. If they need keyword data, market-wide trends, or advertising metrics, it does not apply.\n\n## 积分消耗规则\n\n按动态规则计费：消耗积分 = 0.045 × 本次历史趋势查询消耗的 Keepa token。\n\n> **重要**：本技能的服务按倍数动态计算，可能一次性消耗大量积分，必须提醒用户，由用户决定是否继续。\n\n**Feedback:**\n\nAuto-detect and report feedback via the Feedback API when any of the following apply:\n1. The functionality or purpose described in this skill does not match actual behavior\n2. The skill's results do not match the user's intent\n3. The user expresses dissatisfaction or praise about this skill\n4. Anything you believe could be improved\n\nCall the feedback API as specified in `references/api.md`. Do not interrupt the user's flow.\n\n\n---\n*For more high-quality, professional cross-border e-commerce skills, set [LinkFox Skills](https://skill.linkfox.com/).*\n\nFile v1.0.4:_meta.json\n\n{\n \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n \"slug\": \"linkfox-keepa-product-series\",\n \"version\": \"1.0.4\",\n \"publishedAt\": 1783944774670\n}\n\nFile v1.0.4:references/api.md\n\n# Keepa-亚马逊价格历史 API 参考\r\n\r\n## 调用规范\r\n\r\n- **请求地址**：`${LINKFOX_TOOL_GATEWAY}/keepa/productSeries`\r\n- **请求方式**：POST，Content-Type: application/json\r\n- **认证方式**：Header `Authorization: `，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取（如未配置 按 SKILL.md 的 **## 解决认证和积分问题** 处理）\r\n\r\n## 请求参数\r\n\r\nPOST Body（JSON）：\r\n\r\n| 参数 | 类型 | 必填 | 说明 |\r\n|------|------|------|------|\r\n| asin | string | 是 | 亚马逊标准识别号(ASIN)，只支持单个ASIN，最大长度1000 |\r\n| domain | string | 是 | 亚马逊域名ID。可选值：`1`（美国）、`2`（英国）、`3`（德国）、`4`（法国）、`5`（日本）、`6`（加拿大）、`8`（意大利）、`9`（西班牙）、`10`（印度）、`11`（墨西哥）、`12`（巴西） |\r\n| days | integer | 否 | 限制历史数据天数，默认 `90` 天，最大 `365` |\r\n| showPrice | integer | 否 | 设为 `1` 返回市场最低新品价曲线 |\r\n| showPriceList | integer | 否 | 设为 `1` 返回划线价/标价曲线 |\r\n| showPriceDeal | integer | 否 | 设为 `1` 返回闪促价格曲线 |\r\n| showPricePrime | integer | 否 | 设为 `1` 返回Prime专属新品价曲线 |\r\n| showPriceFba | integer | 否 | 设为 `1` 返回第三方FBA新品价曲线 |\r\n| showPriceFbm | integer | 否 | 设为 `1` 返回第三方FBM新品价曲线 |\r\n| showPriceCoupon | integer | 否 | 设为 `1` 返回优惠券后买盒价曲线 |\r\n| showBsrMain | integer | 否 | 设为 `1` 返回大类BSR曲线 |\r\n| showSellerCount | integer | 否 | 设为 `1` 返回卖家数曲线 |\r\n\r\n\r\n## 响应结构\r\n\r\n| 字段 | 类型 | 说明 |\r\n|------|------|------|\r\n| asin | string | ASIN |\r\n| buyboxPrice | array | Buybox价格（time=时间，value=Buybox价格） |\r\n| price | array | 价格（time=时间，value=价格） |\r\n| priceList | array | 划线价（time=时间，value=划线价格） |\r\n| priceDeal | array | Deal价格（time=时间，value=Deal价格） |\r\n| pricePrime | array | Prime价格（time=时间，value=Prime价格） |\r\n| priceFba | array | FBA价格（time=时间，value=FBA价格） |\r\n| priceFbm | array | FBM价格（time=时间，value=FBM价格） |\r\n| priceCoupon | array | coupon价格（time=时间，value=coupon价格） |\r\n| bsrMain | array | 大类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| bsrSub | array | 小类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| sellerCount | array | 卖家数（time=时间，value=卖家数） |\r\n| rating | array | 评分（time=时间，value=评分） |\r\n| ratingCount | array | 评分数（time=时间，value=评分数） |\r\n| monthlySold | array | 子体销量（time=时间，value=销量） |\r\n| costToken | integer | 消耗token |\r\n\r\n## 错误码\r\n\r\n正常情况下，接口的 HTTP 状态码均为 200，业务的成功与否通过响应体中的 errorCode 字段区分（errorCode = 200 表示成功，其他值表示业务错误）。当遇到未授权等情况时，HTTP 状态码为 401，且对应的 errorCode 也是 401。\r\n\r\n| errcode | 含义 | 处理建议 |\r\n|---------|------|----------|\r\n| 200 | 成功 | 正常解析业务字段 |\r\n| 401 | 认证失败 | HTTP 401 或 authorized error：按 SKILL.md 的 **## 解决认证和积分问题** 处理。|\r\n| 402 | - | HTTP 402：按 SKILL.md 的 **## 解决认证和积分问题** 处理。|\r\n| 其他非200值 | 业务异常 | 参考 `errmsg` 字段获取具体错误原因 |\r\n\r\n错误响应示例：\r\n\r\n```json\r\n{\r\n \"errcode\": 401,\r\n \"errmsg\": \"authorized error\"\r\n}\r\n```\r\n\r\n## curl 示例\r\n\r\n```bash\r\ncurl -X POST https://tool-gateway.linkfox.com/keepa/productSeries \\\r\n -H \"Authorization: $LINKFOXAGENT_API_KEY\" \\\r\n -H \"Content-Type: application/json\" \\\r\n -d '{\"asin\": \"B0DFRJ7WSX\", \"domain\": \"1\", \"days\": 90, \"showBsrMain\": 1, \"showPrice\": 1, \"showSellerCount\": 1}'\r\n```\r\n\r\n---\r\n\r\n## Feedback API\r\n\r\n> This endpoint is **separate** from the tool API above. Do not mix the two base URLs.\r\n\r\n- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`\r\n- **Content-Type:** `application/json`\r\n\r\n```json\r\n{\r\n \"skillName\": \"linkfox-xxx-xxx\",\r\n \"sentiment\": \"POSITIVE\",\r\n \"category\": \"OTHER\",\r\n \"content\": \"Results were accurate, user was satisfied.\"\r\n}\r\n```\r\n\r\n**Field rules:**\r\n- `skillName`: Use this skill's `name` from the YAML frontmatter\r\n- `sentiment`: Choose ONE — `POSITIVE` (praise), `NEUTRAL` (suggestion without emotion), `NEGATIVE` (complaint or error)\r\n- `category`: Choose ONE — `BUG` (malfunction or wrong data), `COMPLAINT` (user dissatisfaction), `SUGGESTION` (improvement idea), `OTHER`\r\n- `content`: Include what the user said or intended, what actually happened, and why it is a problem or praise\n\nFile v1.0.4:skill-card.md\n\n## Description:
\nQueries Amazon product history for a single ASIN, including price, Buy Box, BSR, ratings, seller count, and monthly sales time-series data across supported marketplaces.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[linkfox-ai](https://clawhub.ai/user/linkfox-ai)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal users, Amazon sellers, and e-commerce analysts use this skill to retrieve and summarize historical product-level Keepa data for ASIN-specific price, ranking, rating, seller-count, and sales trend analysis.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: LinkFox receives API requests and session/app metadata when the skill calls the product-history endpoint.
\nMitigation: Use the skill only when sharing ASIN queries and runtime metadata with LinkFox is acceptable.
\nRisk: Full Keepa API responses are persisted locally, including cached and session output files.
\nMitigation: Store outputs only in appropriate workspaces and periodically delete the local linkfox cache and session data when product research is sensitive.
\nRisk: The onboarding fallback references an unpinned remote ZIP installer.
\nMitigation: Avoid remote onboarding installation unless the LinkFox source is separately trusted and reviewed.
\nRisk: Historical trend lookups consume LinkFox/Keepa credits and may incur higher cost for broad requests.
\nMitigation: Confirm the requested ASIN, marketplace, days, and optional series before issuing additional calls.
\n\n\n## Reference(s):
\n- [Keepa Amazon Price History API Reference](references/api.md)
\n- [ClawHub Skill Page](https://clawhub.ai/linkfox-ai/skills/linkfox-keepa-product-series)
\n- [LinkFox API Key and Credits Guide](https://skill.linkfox.com/linkfoxskills/guide.htm)
\n\n\n## Skill Output:
\n**Output Type(s):** [JSON, Files, Shell commands, Guidance, Analysis]
\n**Output Format:** [JSON responses saved to local files, with stdout JSON or text summaries and human-readable trend guidance]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Queries one ASIN per request, supports up to 365 days of history, uses a 24-hour local cache, and may consume LinkFox/Keepa credits.]
\n\n## Skill Version(s):
\n1.0.4 (source: server release metadata)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.0.3: 5 files, 14176 bytes\n\nFiles: references/api.md (4887b), scripts/keepa_product_history.py (13152b), skill-card.md (2897b), SKILL.md (10386b), _meta.json (147b)\n\nFile v1.0.3:SKILL.md\n\n---\r\nname: linkfox-keepa-product-series\r\ndescription: 查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及\"Keepa\"或\"时序数据\"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变化趋势），也应触发此技能。\r\n---\r\n\r\n# Keepa Product Time-Series Data Explorer\r\n\r\nThis skill guides you on how to query and analyze Amazon product historical time-series data, helping Amazon sellers track price movements, BSR trends, rating changes, and other key product metrics over time.\r\n\r\n## Core Concepts\r\n\r\nThis tool provides historical time-series data for individual Amazon products (ASINs) powered by Keepa. It returns timestamped data points for various metrics, allowing trend analysis over a configurable time window (up to 365 days). Each query targets a single ASIN in a specific Amazon marketplace.\r\n\r\n**Time-series format**: All data series are returned as arrays of `{time, value}` objects, where `time` is a timestamp and `value` is the metric at that point. BSR data includes a `categoryName` field along with a `points` array.\r\n\r\n**BSR logic**: A smaller BSR value means a better sales rank. Rank 1 is the top-selling product in its category. When a user says \"BSR improved\", it means the numeric value decreased; \"BSR dropped\" means the value increased.\r\n\r\n## Available Data Series\r\n\r\n| Series | Parameter | Description |\r\n|--------|-----------|-------------|\r\n| Buy Box Price | *(always returned)* | Buy Box price over time |\r\n| Lowest New Price | showPrice=1 | Lowest marketplace new item price |\r\n| List Price | showPriceList=1 | Strikethrough / list price |\r\n| Deal Price | showPriceDeal=1 | Lightning deal price |\r\n| Prime Exclusive Price | showPricePrime=1 | Prime-exclusive new item price |\r\n| FBA Price | showPriceFba=1 | Third-party FBA new item price |\r\n| FBM Price | showPriceFbm=1 | Third-party FBM new item price |\r\n| Coupon Price | showPriceCoupon=1 | Post-coupon Buy Box price |\r\n| Main Category BSR | showBsrMain=1 | Best Sellers Rank in the main (root) category |\r\n| Seller Count | showSellerCount=1 | Number of active sellers |\r\n| Rating | *(always returned)* | Product star rating over time |\r\n| Rating Count | *(always returned)* | Number of ratings over time |\r\n| Monthly Sales | *(always returned)* | Monthly unit sales volume |\r\n| Sub-category BSR | *(always returned)* | Best Sellers Rank in sub-categories |\r\n\r\n## Supported Marketplaces\r\n\r\n| Domain ID | Marketplace |\r\n|-----------|-------------|\r\n| 1 | Amazon.com (US) |\r\n| 2 | Amazon.co.uk (UK) |\r\n| 3 | Amazon.de (Germany) |\r\n| 4 | Amazon.fr (France) |\r\n| 5 | Amazon.co.jp (Japan) |\r\n| 6 | Amazon.ca (Canada) |\r\n| 8 | Amazon.it (Italy) |\r\n| 9 | Amazon.es (Spain) |\r\n| 10 | Amazon.in (India) |\r\n| 11 | Amazon.com.mx (Mexico) |\r\n| 12 | Amazon.com.br (Brazil) |\r\n\r\nDefault marketplace is **1** (US). Use domain=1 when the user does not specify a marketplace.\r\n\r\n## 调用方式\r\n\r\n- **API 端点**：`POST /keepa/productSeries`（完整参数/响应/错误码见 `references/api.md`）\r\n- **Python 脚本**：`python scripts/keepa_product_history.py '' [--inline]`\r\n- **成本约束**：本工具会消耗积分；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。\r\n\r\n**输出策略（脚本默认行为）**：\r\n- **始终**将完整响应写入 `/linkfox///data/linkfox-keepa-product-series-.json`（`` 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；`` 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）\r\n- 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout\r\n- 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）\r\n- 加 `--inline` 强制全量打印到 stdout（同样落盘）\r\n\r\n**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。\r\n\r\n## Parameter Guide\r\n\r\n### Required Parameters\r\n\r\n- **asin**: The Amazon Standard Identification Number to query. Only a single ASIN per request is supported.\r\n- **domain**: The Amazon marketplace domain ID (see table above). Always map the user's marketplace mention to the correct numeric ID.\r\n\r\n### Optional Parameters\r\n\r\n- **days**: Number of historical days to retrieve (1-365, default 90). Use 30 for short-term, 90 for medium-term, 365 for long-term analysis.\r\n- **show\\* flags**: Set any `show*` parameter to `1` to include that data series. By default, only the core series (Buy Box price, rating, rating count, monthly sales, sub-category BSR) are returned.\r\n\r\n### How to Choose Parameters\r\n\r\n1. **Price analysis**: Enable `showPrice`, `showPriceList`, `showPriceDeal`, `showPriceCoupon` as needed for the specific price comparison the user wants.\r\n2. **FBA vs FBM comparison**: Enable both `showPriceFba` and `showPriceFbm`.\r\n3. **BSR deep-dive**: Enable `showBsrMain` to get the root category BSR alongside the always-returned sub-category BSR.\r\n4. **Competitive landscape**: Enable `showSellerCount` to see how many sellers are competing.\r\n5. **Full product overview**: Enable all show flags for a comprehensive historical snapshot.\r\n\r\n## Usage Examples\r\n\r\n**1. Basic price history for a US product**\r\n```\r\nasin: B0XXXXXXXX, domain: 1, days: 90\r\n```\r\n\r\n**2. Long-term BSR trend (1 year) on the German marketplace**\r\n```\r\nasin: B0XXXXXXXX, domain: 3, days: 365, showBsrMain: 1\r\n```\r\n\r\n**3. Price comparison across fulfillment channels**\r\n```\r\nasin: B0XXXXXXXX, domain: 1, days: 30, showPriceFba: 1, showPriceFbm: 1, showPrice: 1\r\n```\r\n\r\n**4. Deal and coupon price tracking**\r\n```\r\nasin: B0XXXXXXXX, domain: 1, days: 90, showPriceDeal: 1, showPriceCoupon: 1\r\n```\r\n\r\n**5. Full product health check**\r\n```\r\nasin: B0XXXXXXXX, domain: 1, days: 90, showPrice: 1, showPriceList: 1, showPriceDeal: 1, showPricePrime: 1, showPriceFba: 1, showPriceFbm: 1, showPriceCoupon: 1, showBsrMain: 1, showSellerCount: 1\r\n```\r\n\r\n## Display Rules\r\n\r\n1. **Present data clearly**: Show time-series data in tables or describe trends; avoid subjective business advice unless the user explicitly asks for it.\r\n2. **BSR clarification**: When showing BSR data, remind users that lower values mean better (higher) sales ranks.\r\n3. **Price formatting**: Display prices with proper currency symbols matching the marketplace ($ for US, EUR for DE/FR/ES/IT, GBP for UK, JPY for JP, etc.).\r\n4. **Time formatting**: Present timestamps in a human-readable date format.\r\n5. **Trend summarization**: When data series are long, summarize the overall trend (e.g., \"price decreased from $29.99 to $24.99 over 90 days\") and highlight significant changes such as price drops, BSR spikes, or rating shifts.\r\n6. **Error handling**: When a query fails, explain the reason and suggest corrections (e.g., verify the ASIN is valid, check the marketplace domain ID).\r\n7. **Single ASIN limitation**: If the user asks about multiple ASINs, inform them that queries must be made one ASIN at a time, and run multiple sequential calls.\r\n## Important Limitations\r\n\r\n- **Single ASIN per query**: Only one ASIN can be queried at a time. For multi-ASIN comparisons, make separate requests.\r\n- **Maximum 365 days**: Historical data is limited to at most 365 days back.\r\n- **Data granularity**: Data points are at irregular intervals depending on when Keepa captured changes, not at fixed daily intervals.\r\n\r\n## User Expression & Scenario Quick Reference\r\n\r\n**Applicable** -- Historical product-level data queries on Amazon:\r\n\r\n| User Says | Scenario |\r\n|-----------|----------|\r\n| \"What's the price history for this ASIN\" | Price trend analysis |\r\n| \"Show me the BSR trend\", \"how is it ranking\" | BSR tracking |\r\n| \"Has the price dropped recently\", \"any deals\" | Price drop / deal detection |\r\n| \"How many sellers are on this listing\" | Seller count trend |\r\n| \"What's the rating trend\", \"review count over time\" | Rating / review tracking |\r\n| \"FBA vs FBM price\", \"who has the Buy Box\" | Fulfillment price comparison |\r\n| \"Monthly sales for this product\" | Sales volume trend |\r\n| \"Was there a price war on this ASIN\" | Competitive pricing analysis |\r\n| \"Show me the Keepa chart\", \"Keepa data\" | Explicit Keepa data requests |\r\n\r\n**Not applicable** -- Needs beyond product-level historical data:\r\n\r\n- Search term / keyword analysis (use ABA data instead)\r\n- Advertising / PPC campaign data\r\n- Listing copywriting or content optimization\r\n- Category-wide or market-level aggregate trends (this tool is per-ASIN only)\r\n- Real-time inventory or stock level checks\r\n- Product reviews text or sentiment analysis\r\n\r\n**Boundary judgment**: When users say \"product research\" or \"competitor analysis\", if it boils down to examining a specific ASIN's historical price, BSR, or sales data, this skill applies. If they need keyword data, market-wide trends, or advertising metrics, it does not apply.\r\n\r\n\r\n**Feedback:**\r\n\r\nAuto-detect and report feedback via the Feedback API when any of the following apply:\r\n1. The functionality or purpose described in this skill does not match actual behavior\r\n2. The skill's results do not match the user's intent\r\n3. The user expresses dissatisfaction or praise about this skill\r\n4. Anything you believe could be improved\r\n\r\nCall the feedback API as specified in `references/api.md`. Do not interrupt the user's flow.\r\n\r\n\r\n---\r\n*For more high-quality, professional cross-border e-commerce skills, set [LinkFox Skills](https://skill.linkfox.com/).*\n\nFile v1.0.3:_meta.json\n\n{\n \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n \"slug\": \"linkfox-keepa-product-series\",\n \"version\": \"1.0.3\",\n \"publishedAt\": 1783336919507\n}\n\nFile v1.0.3:references/api.md\n\n# Keepa-亚马逊价格历史 API 参考\r\n\r\n## 调用规范\r\n\r\n- **请求地址**：`${LINKFOX_TOOL_GATEWAY}/keepa/productSeries`\r\n- **请求方式**：POST，Content-Type: application/json\r\n- **认证方式**：Header `Authorization: `，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取（如未配置，提示用户前往 https://skill.linkfox.com/linkfoxskills/guide.htm 申请）\r\n\r\n## 请求参数\r\n\r\nPOST Body（JSON）：\r\n\r\n| 参数 | 类型 | 必填 | 说明 |\r\n|------|------|------|------|\r\n| asin | string | 是 | 亚马逊标准识别号(ASIN)，只支持单个ASIN，最大长度1000 |\r\n| domain | string | 是 | 亚马逊域名ID。可选值：`1`（美国）、`2`（英国）、`3`（德国）、`4`（法国）、`5`（日本）、`6`（加拿大）、`8`（意大利）、`9`（西班牙）、`10`（印度）、`11`（墨西哥）、`12`（巴西） |\r\n| days | integer | 否 | 限制历史数据天数，默认 `90` 天，最大 `365` |\r\n| showPrice | integer | 否 | 设为 `1` 返回市场最低新品价曲线 |\r\n| showPriceList | integer | 否 | 设为 `1` 返回划线价/标价曲线 |\r\n| showPriceDeal | integer | 否 | 设为 `1` 返回闪促价格曲线 |\r\n| showPricePrime | integer | 否 | 设为 `1` 返回Prime专属新品价曲线 |\r\n| showPriceFba | integer | 否 | 设为 `1` 返回第三方FBA新品价曲线 |\r\n| showPriceFbm | integer | 否 | 设为 `1` 返回第三方FBM新品价曲线 |\r\n| showPriceCoupon | integer | 否 | 设为 `1` 返回优惠券后买盒价曲线 |\r\n| showBsrMain | integer | 否 | 设为 `1` 返回大类BSR曲线 |\r\n| showSellerCount | integer | 否 | 设为 `1` 返回卖家数曲线 |\r\n\r\n\r\n## 响应结构\r\n\r\n| 字段 | 类型 | 说明 |\r\n|------|------|------|\r\n| asin | string | ASIN |\r\n| buyboxPrice | array | Buybox价格（time=时间，value=Buybox价格） |\r\n| price | array | 价格（time=时间，value=价格） |\r\n| priceList | array | 划线价（time=时间，value=划线价格） |\r\n| priceDeal | array | Deal价格（time=时间，value=Deal价格） |\r\n| pricePrime | array | Prime价格（time=时间，value=Prime价格） |\r\n| priceFba | array | FBA价格（time=时间，value=FBA价格） |\r\n| priceFbm | array | FBM价格（time=时间，value=FBM价格） |\r\n| priceCoupon | array | coupon价格（time=时间，value=coupon价格） |\r\n| bsrMain | array | 大类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| bsrSub | array | 小类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| sellerCount | array | 卖家数（time=时间，value=卖家数） |\r\n| rating | array | 评分（time=时间，value=评分） |\r\n| ratingCount | array | 评分数（time=时间，value=评分数） |\r\n| monthlySold | array | 子体销量（time=时间，value=销量） |\r\n| costToken | integer | 消耗token |\r\n\r\n## 错误码\r\n\r\n正常情况下，接口的 HTTP 状态码均为 200，业务的成功与否通过响应体中的 errorCode 字段区分（errorCode = 200 表示成功，其他值表示业务错误）。当遇到未授权等情况时，HTTP 状态码为 401，且对应的 errorCode 也是 401。\r\n\r\n| errcode | 含义 | 处理建议 |\r\n|---------|------|----------|\r\n| 200 | 成功 | 正常解析业务字段 |\r\n| 401 | 认证失败 | 检查请求头 `Authorization` 是否正确携带 API Key；API Key 申请方式请参考上述[调用规范](#调用规范)下的认证方式。|\r\n| 其他非200值 | 业务异常 | 参考 `errmsg` 字段获取具体错误原因 |\r\n\r\n错误响应示例：\r\n\r\n```json\r\n{\r\n \"errcode\": 401,\r\n \"errmsg\": \"authorized error\"\r\n}\r\n```\r\n\r\n## curl 示例\r\n\r\n```bash\r\ncurl -X POST https://tool-gateway.linkfox.com/keepa/productSeries \\\r\n -H \"Authorization: $LINKFOXAGENT_API_KEY\" \\\r\n -H \"Content-Type: application/json\" \\\r\n -d '{\"asin\": \"B0DFRJ7WSX\", \"domain\": \"1\", \"days\": 90, \"showBsrMain\": 1, \"showPrice\": 1, \"showSellerCount\": 1}'\r\n```\r\n\r\n---\r\n\r\n## Feedback API\r\n\r\n> This endpoint is **separate** from the tool API above. Do not mix the two base URLs.\r\n\r\n- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`\r\n- **Content-Type:** `application/json`\r\n\r\n```json\r\n{\r\n \"skillName\": \"linkfox-xxx-xxx\",\r\n \"sentiment\": \"POSITIVE\",\r\n \"category\": \"OTHER\",\r\n \"content\": \"Results were accurate, user was satisfied.\"\r\n}\r\n```\r\n\r\n**Field rules:**\r\n- `skillName`: Use this skill's `name` from the YAML frontmatter\r\n- `sentiment`: Choose ONE — `POSITIVE` (praise), `NEUTRAL` (suggestion without emotion), `NEGATIVE` (complaint or error)\r\n- `category`: Choose ONE — `BUG` (malfunction or wrong data), `COMPLAINT` (user dissatisfaction), `SUGGESTION` (improvement idea), `OTHER`\r\n- `content`: Include what the user said or intended, what actually happened, and why it is a problem or praise\n\nFile v1.0.3:skill-card.md\n\n## Description:
\nQueries Amazon product history time-series data through LinkFox/Keepa, including price, BSR, rating, seller count, and monthly sales trends for a single ASIN across supported marketplaces.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[linkfox-ai](https://clawhub.ai/user/linkfox-ai)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nAmazon sellers, e-commerce operators, and product researchers use this skill to fetch and summarize per-ASIN historical price, ranking, rating, seller-count, and sales-volume trends. It supports product-level analysis across supported Amazon marketplaces when the user needs time-series evidence rather than keyword, PPC, or market-wide data.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: ASIN queries and the LinkFox API key are sent to LinkFox services.
\nMitigation: Use the skill only when that disclosure is acceptable, keep API keys in trusted environment variables, and avoid submitting sensitive product research queries when policy forbids external processing.
\nRisk: Full API responses are saved locally under linkfox session folders and cached.
\nMitigation: Delete generated linkfox data and cache files after sensitive investigations, and avoid running the skill from workspaces where saved product research data should not persist.
\nRisk: The skill asks agents to submit feedback to LinkFox when behavior mismatches intent or users express praise or dissatisfaction.
\nMitigation: Review feedback content before submission and omit confidential ASINs, business context, or credentials from feedback messages.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/linkfox-ai/skills/linkfox-keepa-product-series)
\n- [Keepa Amazon price history API reference](references/api.md)
\n- [LinkFox API key guide](https://skill.linkfox.com/linkfoxskills/guide.htm)
\n- [LinkFox Skills](https://skill.linkfox.com/)
\n\n\n## Skill Output:
\n**Output Type(s):** [JSON, Markdown, Shell commands, Guidance]
\n**Output Format:** [Markdown guidance with JSON API responses, saved local data files, and concise stdout summaries for large responses.]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Requires a LinkFox API key. Queries one ASIN per request, supports up to 365 days of history, writes full responses under linkfox session data directories, and uses a 24-hour local cache by default.]
\n\n## Skill Version(s):
\n1.0.3 (source: server release evidence)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.0.2: 4 files, 12705 bytes\n\nFiles: references/api.md (4887b), scripts/keepa_product_history.py (13152b), SKILL.md (10386b), _meta.json (147b)\n\nFile v1.0.2:SKILL.md\n\n---\r\nname: linkfox-keepa-product-series\r\ndescription: 查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及\"Keepa\"或\"时序数据\"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变化趋势），也应触发此技能。\r\n---\r\n\r\n# Keepa Product Time-Series Data Explorer\r\n\r\nThis skill guides you on how to query and analyze Amazon product historical time-series data, helping Amazon sellers track price movements, BSR trends, rating changes, and other key product metrics over time.\r\n\r\n## Core Concepts\r\n\r\nThis tool provides historical time-series data for individual Amazon products (ASINs) powered by Keepa. It returns timestamped data points for various metrics, allowing trend analysis over a configurable time window (up to 365 days). Each query targets a single ASIN in a specific Amazon marketplace.\r\n\r\n**Time-series format**: All data series are returned as arrays of `{time, value}` objects, where `time` is a timestamp and `value` is the metric at that point. BSR data includes a `categoryName` field along with a `points` array.\r\n\r\n**BSR logic**: A smaller BSR value means a better sales rank. Rank 1 is the top-selling product in its category. When a user says \"BSR improved\", it means the numeric value decreased; \"BSR dropped\" means the value increased.\r\n\r\n## Available Data Series\r\n\r\n| Series | Parameter | Description |\r\n|--------|-----------|-------------|\r\n| Buy Box Price | *(always returned)* | Buy Box price over time |\r\n| Lowest New Price | showPrice=1 | Lowest marketplace new item price |\r\n| List Price | showPriceList=1 | Strikethrough / list price |\r\n| Deal Price | showPriceDeal=1 | Lightning deal price |\r\n| Prime Exclusive Price | showPricePrime=1 | Prime-exclusive new item price |\r\n| FBA Price | showPriceFba=1 | Third-party FBA new item price |\r\n| FBM Price | showPriceFbm=1 | Third-party FBM new item price |\r\n| Coupon Price | showPriceCoupon=1 | Post-coupon Buy Box price |\r\n| Main Category BSR | showBsrMain=1 | Best Sellers Rank in the main (root) category |\r\n| Seller Count | showSellerCount=1 | Number of active sellers |\r\n| Rating | *(always returned)* | Product star rating over time |\r\n| Rating Count | *(always returned)* | Number of ratings over time |\r\n| Monthly Sales | *(always returned)* | Monthly unit sales volume |\r\n| Sub-category BSR | *(always returned)* | Best Sellers Rank in sub-categories |\r\n\r\n## Supported Marketplaces\r\n\r\n| Domain ID | Marketplace |\r\n|-----------|-------------|\r\n| 1 | Amazon.com (US) |\r\n| 2 | Amazon.co.uk (UK) |\r\n| 3 | Amazon.de (Germany) |\r\n| 4 | Amazon.fr (France) |\r\n| 5 | Amazon.co.jp (Japan) |\r\n| 6 | Amazon.ca (Canada) |\r\n| 8 | Amazon.it (Italy) |\r\n| 9 | Amazon.es (Spain) |\r\n| 10 | Amazon.in (India) |\r\n| 11 | Amazon.com.mx (Mexico) |\r\n| 12 | Amazon.com.br (Brazil) |\r\n\r\nDefault marketplace is **1** (US). Use domain=1 when the user does not specify a marketplace.\r\n\r\n## 调用方式\r\n\r\n- **API 端点**：`POST /keepa/productSeries`（完整参数/响应/错误码见 `references/api.md`）\r\n- **Python 脚本**：`python scripts/keepa_product_history.py '' [--inline]`\r\n- **成本约束**：本工具会消耗积分；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。\r\n\r\n**输出策略（脚本默认行为）**：\r\n- **始终**将完整响应写入 `/linkfox///data/linkfox-keepa-product-series-.json`（`` 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；`` 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）\r\n- 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout\r\n- 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）\r\n- 加 `--inline` 强制全量打印到 stdout（同样落盘）\r\n\r\n**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。\r\n\r\n## Parameter Guide\r\n\r\n### Required Parameters\r\n\r\n- **asin**: The Amazon Standard Identification Number to query. Only a single ASIN per request is supported.\r\n- **domain**: The Amazon marketplace domain ID (see table above). Always map the user's marketplace mention to the correct numeric ID.\r\n\r\n### Optional Parameters\r\n\r\n- **days**: Number of historical days to retrieve (1-365, default 90). Use 30 for short-term, 90 for medium-term, 365 for long-term analysis.\r\n- **show\\* flags**: Set any `show*` parameter to `1` to include that data series. By default, only the core series (Buy Box price, rating, rating count, monthly sales, sub-category BSR) are returned.\r\n\r\n### How to Choose Parameters\r\n\r\n1. **Price analysis**: Enable `showPrice`, `showPriceList`, `showPriceDeal`, `showPriceCoupon` as needed for the specific price comparison the user wants.\r\n2. **FBA vs FBM comparison**: Enable both `showPriceFba` and `showPriceFbm`.\r\n3. **BSR deep-dive**: Enable `showBsrMain` to get the root category BSR alongside the always-returned sub-category BSR.\r\n4. **Competitive landscape**: Enable `showSellerCount` to see how many sellers are competing.\r\n5. **Full product overview**: Enable all show flags for a comprehensive historical snapshot.\r\n\r\n## Usage Examples\r\n\r\n**1. Basic price history for a US product**\r\n```\r\nasin: B0XXXXXXXX, domain: 1, days: 90\r\n```\r\n\r\n**2. Long-term BSR trend (1 year) on the German marketplace**\r\n```\r\nasin: B0XXXXXXXX, domain: 3, days: 365, showBsrMain: 1\r\n```\r\n\r\n**3. Price comparison across fulfillment channels**\r\n```\r\nasin: B0XXXXXXXX, domain: 1, days: 30, showPriceFba: 1, showPriceFbm: 1, showPrice: 1\r\n```\r\n\r\n**4. Deal and coupon price tracking**\r\n```\r\nasin: B0XXXXXXXX, domain: 1, days: 90, showPriceDeal: 1, showPriceCoupon: 1\r\n```\r\n\r\n**5. Full product health check**\r\n```\r\nasin: B0XXXXXXXX, domain: 1, days: 90, showPrice: 1, showPriceList: 1, showPriceDeal: 1, showPricePrime: 1, showPriceFba: 1, showPriceFbm: 1, showPriceCoupon: 1, showBsrMain: 1, showSellerCount: 1\r\n```\r\n\r\n## Display Rules\r\n\r\n1. **Present data clearly**: Show time-series data in tables or describe trends; avoid subjective business advice unless the user explicitly asks for it.\r\n2. **BSR clarification**: When showing BSR data, remind users that lower values mean better (higher) sales ranks.\r\n3. **Price formatting**: Display prices with proper currency symbols matching the marketplace ($ for US, EUR for DE/FR/ES/IT, GBP for UK, JPY for JP, etc.).\r\n4. **Time formatting**: Present timestamps in a human-readable date format.\r\n5. **Trend summarization**: When data series are long, summarize the overall trend (e.g., \"price decreased from $29.99 to $24.99 over 90 days\") and highlight significant changes such as price drops, BSR spikes, or rating shifts.\r\n6. **Error handling**: When a query fails, explain the reason and suggest corrections (e.g., verify the ASIN is valid, check the marketplace domain ID).\r\n7. **Single ASIN limitation**: If the user asks about multiple ASINs, inform them that queries must be made one ASIN at a time, and run multiple sequential calls.\r\n## Important Limitations\r\n\r\n- **Single ASIN per query**: Only one ASIN can be queried at a time. For multi-ASIN comparisons, make separate requests.\r\n- **Maximum 365 days**: Historical data is limited to at most 365 days back.\r\n- **Data granularity**: Data points are at irregular intervals depending on when Keepa captured changes, not at fixed daily intervals.\r\n\r\n## User Expression & Scenario Quick Reference\r\n\r\n**Applicable** -- Historical product-level data queries on Amazon:\r\n\r\n| User Says | Scenario |\r\n|-----------|----------|\r\n| \"What's the price history for this ASIN\" | Price trend analysis |\r\n| \"Show me the BSR trend\", \"how is it ranking\" | BSR tracking |\r\n| \"Has the price dropped recently\", \"any deals\" | Price drop / deal detection |\r\n| \"How many sellers are on this listing\" | Seller count trend |\r\n| \"What's the rating trend\", \"review count over time\" | Rating / review tracking |\r\n| \"FBA vs FBM price\", \"who has the Buy Box\" | Fulfillment price comparison |\r\n| \"Monthly sales for this product\" | Sales volume trend |\r\n| \"Was there a price war on this ASIN\" | Competitive pricing analysis |\r\n| \"Show me the Keepa chart\", \"Keepa data\" | Explicit Keepa data requests |\r\n\r\n**Not applicable** -- Needs beyond product-level historical data:\r\n\r\n- Search term / keyword analysis (use ABA data instead)\r\n- Advertising / PPC campaign data\r\n- Listing copywriting or content optimization\r\n- Category-wide or market-level aggregate trends (this tool is per-ASIN only)\r\n- Real-time inventory or stock level checks\r\n- Product reviews text or sentiment analysis\r\n\r\n**Boundary judgment**: When users say \"product research\" or \"competitor analysis\", if it boils down to examining a specific ASIN's historical price, BSR, or sales data, this skill applies. If they need keyword data, market-wide trends, or advertising metrics, it does not apply.\r\n\r\n\r\n**Feedback:**\r\n\r\nAuto-detect and report feedback via the Feedback API when any of the following apply:\r\n1. The functionality or purpose described in this skill does not match actual behavior\r\n2. The skill's results do not match the user's intent\r\n3. The user expresses dissatisfaction or praise about this skill\r\n4. Anything you believe could be improved\r\n\r\nCall the feedback API as specified in `references/api.md`. Do not interrupt the user's flow.\r\n\r\n\r\n---\r\n*For more high-quality, professional cross-border e-commerce skills, set [LinkFox Skills](https://skill.linkfox.com/).*\n\nFile v1.0.2:_meta.json\n\n{\n \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n \"slug\": \"linkfox-keepa-product-series\",\n \"version\": \"1.0.2\",\n \"publishedAt\": 1783066835572\n}\n\nFile v1.0.2:references/api.md\n\n# Keepa-亚马逊价格历史 API 参考\r\n\r\n## 调用规范\r\n\r\n- **请求地址**：`${LINKFOX_TOOL_GATEWAY}/keepa/productSeries`\r\n- **请求方式**：POST，Content-Type: application/json\r\n- **认证方式**：Header `Authorization: `，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取（如未配置，提示用户前往 https://skill.linkfox.com/linkfoxskills/guide.htm 申请）\r\n\r\n## 请求参数\r\n\r\nPOST Body（JSON）：\r\n\r\n| 参数 | 类型 | 必填 | 说明 |\r\n|------|------|------|------|\r\n| asin | string | 是 | 亚马逊标准识别号(ASIN)，只支持单个ASIN，最大长度1000 |\r\n| domain | string | 是 | 亚马逊域名ID。可选值：`1`（美国）、`2`（英国）、`3`（德国）、`4`（法国）、`5`（日本）、`6`（加拿大）、`8`（意大利）、`9`（西班牙）、`10`（印度）、`11`（墨西哥）、`12`（巴西） |\r\n| days | integer | 否 | 限制历史数据天数，默认 `90` 天，最大 `365` |\r\n| showPrice | integer | 否 | 设为 `1` 返回市场最低新品价曲线 |\r\n| showPriceList | integer | 否 | 设为 `1` 返回划线价/标价曲线 |\r\n| showPriceDeal | integer | 否 | 设为 `1` 返回闪促价格曲线 |\r\n| showPricePrime | integer | 否 | 设为 `1` 返回Prime专属新品价曲线 |\r\n| showPriceFba | integer | 否 | 设为 `1` 返回第三方FBA新品价曲线 |\r\n| showPriceFbm | integer | 否 | 设为 `1` 返回第三方FBM新品价曲线 |\r\n| showPriceCoupon | integer | 否 | 设为 `1` 返回优惠券后买盒价曲线 |\r\n| showBsrMain | integer | 否 | 设为 `1` 返回大类BSR曲线 |\r\n| showSellerCount | integer | 否 | 设为 `1` 返回卖家数曲线 |\r\n\r\n\r\n## 响应结构\r\n\r\n| 字段 | 类型 | 说明 |\r\n|------|------|------|\r\n| asin | string | ASIN |\r\n| buyboxPrice | array | Buybox价格（time=时间，value=Buybox价格） |\r\n| price | array | 价格（time=时间，value=价格） |\r\n| priceList | array | 划线价（time=时间，value=划线价格） |\r\n| priceDeal | array | Deal价格（time=时间，value=Deal价格） |\r\n| pricePrime | array | Prime价格（time=时间，value=Prime价格） |\r\n| priceFba | array | FBA价格（time=时间，value=FBA价格） |\r\n| priceFbm | array | FBM价格（time=时间，value=FBM价格） |\r\n| priceCoupon | array | coupon价格（time=时间，value=coupon价格） |\r\n| bsrMain | array | 大类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| bsrSub | array | 小类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| sellerCount | array | 卖家数（time=时间，value=卖家数） |\r\n| rating | array | 评分（time=时间，value=评分） |\r\n| ratingCount | array | 评分数（time=时间，value=评分数） |\r\n| monthlySold | array | 子体销量（time=时间，value=销量） |\r\n| costToken | integer | 消耗token |\r\n\r\n## 错误码\r\n\r\n正常情况下，接口的 HTTP 状态码均为 200，业务的成功与否通过响应体中的 errorCode 字段区分（errorCode = 200 表示成功，其他值表示业务错误）。当遇到未授权等情况时，HTTP 状态码为 401，且对应的 errorCode 也是 401。\r\n\r\n| errcode | 含义 | 处理建议 |\r\n|---------|------|----------|\r\n| 200 | 成功 | 正常解析业务字段 |\r\n| 401 | 认证失败 | 检查请求头 `Authorization` 是否正确携带 API Key；API Key 申请方式请参考上述[调用规范](#调用规范)下的认证方式。|\r\n| 其他非200值 | 业务异常 | 参考 `errmsg` 字段获取具体错误原因 |\r\n\r\n错误响应示例：\r\n\r\n```json\r\n{\r\n \"errcode\": 401,\r\n \"errmsg\": \"authorized error\"\r\n}\r\n```\r\n\r\n## curl 示例\r\n\r\n```bash\r\ncurl -X POST https://tool-gateway.linkfox.com/keepa/productSeries \\\r\n -H \"Authorization: $LINKFOXAGENT_API_KEY\" \\\r\n -H \"Content-Type: application/json\" \\\r\n -d '{\"asin\": \"B0DFRJ7WSX\", \"domain\": \"1\", \"days\": 90, \"showBsrMain\": 1, \"showPrice\": 1, \"showSellerCount\": 1}'\r\n```\r\n\r\n---\r\n\r\n## Feedback API\r\n\r\n> This endpoint is **separate** from the tool API above. Do not mix the two base URLs.\r\n\r\n- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`\r\n- **Content-Type:** `application/json`\r\n\r\n```json\r\n{\r\n \"skillName\": \"linkfox-xxx-xxx\",\r\n \"sentiment\": \"POSITIVE\",\r\n \"category\": \"OTHER\",\r\n \"content\": \"Results were accurate, user was satisfied.\"\r\n}\r\n```\r\n\r\n**Field rules:**\r\n- `skillName`: Use this skill's `name` from the YAML frontmatter\r\n- `sentiment`: Choose ONE — `POSITIVE` (praise), `NEUTRAL` (suggestion without emotion), `NEGATIVE` (complaint or error)\r\n- `category`: Choose ONE — `BUG` (malfunction or wrong data), `COMPLAINT` (user dissatisfaction), `SUGGESTION` (improvement idea), `OTHER`\r\n- `content`: Include what the user said or intended, what actually happened, and why it is a problem or praise\n\nArchive v1.0.1: 4 files, 12685 bytes\n\nFiles: references/api.md (4888b), scripts/keepa_product_history.py (13154b), SKILL.md (10386b), _meta.json (147b)\n\nFile v1.0.1:SKILL.md\n\n---\r\nname: linkfox-keepa-product-series\r\ndescription: 查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及\"Keepa\"或\"时序数据\"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变化趋势），也应触发此技能。\r\n---\r\n\r\n# Keepa Product Time-Series Data Explorer\r\n\r\nThis skill guides you on how to query and analyze Amazon product historical time-series data, helping Amazon sellers track price movements, BSR trends, rating changes, and other key product metrics over time.\r\n\r\n## Core Concepts\r\n\r\nThis tool provides historical time-series data for individual Amazon products (ASINs) powered by Keepa. It returns timestamped data points for various metrics, allowing trend analysis over a configurable time window (up to 365 days). Each query targets a single ASIN in a specific Amazon marketplace.\r\n\r\n**Time-series format**: All data series are returned as arrays of `{time, value}` objects, where `time` is a timestamp and `value` is the metric at that point. BSR data includes a `categoryName` field along with a `points` array.\r\n\r\n**BSR logic**: A smaller BSR value means a better sales rank. Rank 1 is the top-selling product in its category. When a user says \"BSR improved\", it means the numeric value decreased; \"BSR dropped\" means the value increased.\r\n\r\n## Available Data Series\r\n\r\n| Series | Parameter | Description |\r\n|--------|-----------|-------------|\r\n| Buy Box Price | *(always returned)* | Buy Box price over time |\r\n| Lowest New Price | showPrice=1 | Lowest marketplace new item price |\r\n| List Price | showPriceList=1 | Strikethrough / list price |\r\n| Deal Price | showPriceDeal=1 | Lightning deal price |\r\n| Prime Exclusive Price | showPricePrime=1 | Prime-exclusive new item price |\r\n| FBA Price | showPriceFba=1 | Third-party FBA new item price |\r\n| FBM Price | showPriceFbm=1 | Third-party FBM new item price |\r\n| Coupon Price | showPriceCoupon=1 | Post-coupon Buy Box price |\r\n| Main Category BSR | showBsrMain=1 | Best Sellers Rank in the main (root) category |\r\n| Seller Count | showSellerCount=1 | Number of active sellers |\r\n| Rating | *(always returned)* | Product star rating over time |\r\n| Rating Count | *(always returned)* | Number of ratings over time |\r\n| Monthly Sales | *(always returned)* | Monthly unit sales volume |\r\n| Sub-category BSR | *(always returned)* | Best Sellers Rank in sub-categories |\r\n\r\n## Supported Marketplaces\r\n\r\n| Domain ID | Marketplace |\r\n|-----------|-------------|\r\n| 1 | Amazon.com (US) |\r\n| 2 | Amazon.co.uk (UK) |\r\n| 3 | Amazon.de (Germany) |\r\n| 4 | Amazon.fr (France) |\r\n| 5 | Amazon.co.jp (Japan) |\r\n| 6 | Amazon.ca (Canada) |\r\n| 8 | Amazon.it (Italy) |\r\n| 9 | Amazon.es (Spain) |\r\n| 10 | Amazon.in (India) |\r\n| 11 | Amazon.com.mx (Mexico) |\r\n| 12 | Amazon.com.br (Brazil) |\r\n\r\nDefault marketplace is **1** (US). Use domain=1 when the user does not specify a marketplace.\r\n\r\n## 调用方式\r\n\r\n- **API 端点**：`POST /keepa/productSeries`（完整参数/响应/错误码见 `references/api.md`）\r\n- **Python 脚本**：`python scripts/keepa_product_history.py '' [--inline]`\r\n- **成本约束**：本工具会消耗积分；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。\r\n\r\n**输出策略（脚本默认行为）**：\r\n- **始终**将完整响应写入 `/linkfox///data/linkfox-keepa-product-series-.json`（`` 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；`` 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）\r\n- 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout\r\n- 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）\r\n- 加 `--inline` 强制全量打印到 stdout（同样落盘）\r\n\r\n**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。\r\n\r\n## Parameter Guide\r\n\r\n### Required Parameters\r\n\r\n- **asin**: The Amazon Standard Identification Number to query. Only a single ASIN per request is supported.\r\n- **domain**: The Amazon marketplace domain ID (see table above). Always map the user's marketplace mention to the correct numeric ID.\r\n\r\n### Optional Parameters\r\n\r\n- **days**: Number of historical days to retrieve (1-365, default 90). Use 30 for short-term, 90 for medium-term, 365 for long-term analysis.\r\n- **show\\* flags**: Set any `show*` parameter to `1` to include that data series. By default, only the core series (Buy Box price, rating, rating count, monthly sales, sub-category BSR) are returned.\r\n\r\n### How to Choose Parameters\r\n\r\n1. **Price analysis**: Enable `showPrice`, `showPriceList`, `showPriceDeal`, `showPriceCoupon` as needed for the specific price comparison the user wants.\r\n2. **FBA vs FBM comparison**: Enable both `showPriceFba` and `showPriceFbm`.\r\n3. **BSR deep-dive**: Enable `showBsrMain` to get the root category BSR alongside the always-returned sub-category BSR.\r\n4. **Competitive landscape**: Enable `showSellerCount` to see how many sellers are competing.\r\n5. **Full product overview**: Enable all show flags for a comprehensive historical snapshot.\r\n\r\n## Usage Examples\r\n\r\n**1. Basic price history for a US product**\r\n```\r\nasin: B0XXXXXXXX, domain: 1, days: 90\r\n```\r\n\r\n**2. Long-term BSR trend (1 year) on the German marketplace**\r\n```\r\nasin: B0XXXXXXXX, domain: 3, days: 365, showBsrMain: 1\r\n```\r\n\r\n**3. Price comparison across fulfillment channels**\r\n```\r\nasin: B0XXXXXXXX, domain: 1, days: 30, showPriceFba: 1, showPriceFbm: 1, showPrice: 1\r\n```\r\n\r\n**4. Deal and coupon price tracking**\r\n```\r\nasin: B0XXXXXXXX, domain: 1, days: 90, showPriceDeal: 1, showPriceCoupon: 1\r\n```\r\n\r\n**5. Full product health check**\r\n```\r\nasin: B0XXXXXXXX, domain: 1, days: 90, showPrice: 1, showPriceList: 1, showPriceDeal: 1, showPricePrime: 1, showPriceFba: 1, showPriceFbm: 1, showPriceCoupon: 1, showBsrMain: 1, showSellerCount: 1\r\n```\r\n\r\n## Display Rules\r\n\r\n1. **Present data clearly**: Show time-series data in tables or describe trends; avoid subjective business advice unless the user explicitly asks for it.\r\n2. **BSR clarification**: When showing BSR data, remind users that lower values mean better (higher) sales ranks.\r\n3. **Price formatting**: Display prices with proper currency symbols matching the marketplace ($ for US, EUR for DE/FR/ES/IT, GBP for UK, JPY for JP, etc.).\r\n4. **Time formatting**: Present timestamps in a human-readable date format.\r\n5. **Trend summarization**: When data series are long, summarize the overall trend (e.g., \"price decreased from $29.99 to $24.99 over 90 days\") and highlight significant changes such as price drops, BSR spikes, or rating shifts.\r\n6. **Error handling**: When a query fails, explain the reason and suggest corrections (e.g., verify the ASIN is valid, check the marketplace domain ID).\r\n7. **Single ASIN limitation**: If the user asks about multiple ASINs, inform them that queries must be made one ASIN at a time, and run multiple sequential calls.\r\n## Important Limitations\r\n\r\n- **Single ASIN per query**: Only one ASIN can be queried at a time. For multi-ASIN comparisons, make separate requests.\r\n- **Maximum 365 days**: Historical data is limited to at most 365 days back.\r\n- **Data granularity**: Data points are at irregular intervals depending on when Keepa captured changes, not at fixed daily intervals.\r\n\r\n## User Expression & Scenario Quick Reference\r\n\r\n**Applicable** -- Historical product-level data queries on Amazon:\r\n\r\n| User Says | Scenario |\r\n|-----------|----------|\r\n| \"What's the price history for this ASIN\" | Price trend analysis |\r\n| \"Show me the BSR trend\", \"how is it ranking\" | BSR tracking |\r\n| \"Has the price dropped recently\", \"any deals\" | Price drop / deal detection |\r\n| \"How many sellers are on this listing\" | Seller count trend |\r\n| \"What's the rating trend\", \"review count over time\" | Rating / review tracking |\r\n| \"FBA vs FBM price\", \"who has the Buy Box\" | Fulfillment price comparison |\r\n| \"Monthly sales for this product\" | Sales volume trend |\r\n| \"Was there a price war on this ASIN\" | Competitive pricing analysis |\r\n| \"Show me the Keepa chart\", \"Keepa data\" | Explicit Keepa data requests |\r\n\r\n**Not applicable** -- Needs beyond product-level historical data:\r\n\r\n- Search term / keyword analysis (use ABA data instead)\r\n- Advertising / PPC campaign data\r\n- Listing copywriting or content optimization\r\n- Category-wide or market-level aggregate trends (this tool is per-ASIN only)\r\n- Real-time inventory or stock level checks\r\n- Product reviews text or sentiment analysis\r\n\r\n**Boundary judgment**: When users say \"product research\" or \"competitor analysis\", if it boils down to examining a specific ASIN's historical price, BSR, or sales data, this skill applies. If they need keyword data, market-wide trends, or advertising metrics, it does not apply.\r\n\r\n\r\n**Feedback:**\r\n\r\nAuto-detect and report feedback via the Feedback API when any of the following apply:\r\n1. The functionality or purpose described in this skill does not match actual behavior\r\n2. The skill's results do not match the user's intent\r\n3. The user expresses dissatisfaction or praise about this skill\r\n4. Anything you believe could be improved\r\n\r\nCall the feedback API as specified in `references/api.md`. Do not interrupt the user's flow.\r\n\r\n\r\n---\r\n*For more high-quality, professional cross-border e-commerce skills, set [LinkFox Skills](https://skill.linkfox.com/).*\n\nFile v1.0.1:_meta.json\n\n{\n \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n \"slug\": \"linkfox-keepa-product-series\",\n \"version\": \"1.0.1\",\n \"publishedAt\": 1783061476406\n}\n\nFile v1.0.1:references/api.md\n\n# Keepa-亚马逊价格历史 API 参考\r\n\r\n## 调用规范\r\n\r\n- **请求地址**：`${LINKFOX_AGENT_API_URL}/keepa/productSeries`\r\n- **请求方式**：POST，Content-Type: application/json\r\n- **认证方式**：Header `Authorization: `，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取（如未配置，提示用户前往 https://skill.linkfox.com/linkfoxskills/guide.htm 申请）\r\n\r\n## 请求参数\r\n\r\nPOST Body（JSON）：\r\n\r\n| 参数 | 类型 | 必填 | 说明 |\r\n|------|------|------|------|\r\n| asin | string | 是 | 亚马逊标准识别号(ASIN)，只支持单个ASIN，最大长度1000 |\r\n| domain | string | 是 | 亚马逊域名ID。可选值：`1`（美国）、`2`（英国）、`3`（德国）、`4`（法国）、`5`（日本）、`6`（加拿大）、`8`（意大利）、`9`（西班牙）、`10`（印度）、`11`（墨西哥）、`12`（巴西） |\r\n| days | integer | 否 | 限制历史数据天数，默认 `90` 天，最大 `365` |\r\n| showPrice | integer | 否 | 设为 `1` 返回市场最低新品价曲线 |\r\n| showPriceList | integer | 否 | 设为 `1` 返回划线价/标价曲线 |\r\n| showPriceDeal | integer | 否 | 设为 `1` 返回闪促价格曲线 |\r\n| showPricePrime | integer | 否 | 设为 `1` 返回Prime专属新品价曲线 |\r\n| showPriceFba | integer | 否 | 设为 `1` 返回第三方FBA新品价曲线 |\r\n| showPriceFbm | integer | 否 | 设为 `1` 返回第三方FBM新品价曲线 |\r\n| showPriceCoupon | integer | 否 | 设为 `1` 返回优惠券后买盒价曲线 |\r\n| showBsrMain | integer | 否 | 设为 `1` 返回大类BSR曲线 |\r\n| showSellerCount | integer | 否 | 设为 `1` 返回卖家数曲线 |\r\n\r\n\r\n## 响应结构\r\n\r\n| 字段 | 类型 | 说明 |\r\n|------|------|------|\r\n| asin | string | ASIN |\r\n| buyboxPrice | array | Buybox价格（time=时间，value=Buybox价格） |\r\n| price | array | 价格（time=时间，value=价格） |\r\n| priceList | array | 划线价（time=时间，value=划线价格） |\r\n| priceDeal | array | Deal价格（time=时间，value=Deal价格） |\r\n| pricePrime | array | Prime价格（time=时间，value=Prime价格） |\r\n| priceFba | array | FBA价格（time=时间，value=FBA价格） |\r\n| priceFbm | array | FBM价格（time=时间，value=FBM价格） |\r\n| priceCoupon | array | coupon价格（time=时间，value=coupon价格） |\r\n| bsrMain | array | 大类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| bsrSub | array | 小类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| sellerCount | array | 卖家数（time=时间，value=卖家数） |\r\n| rating | array | 评分（time=时间，value=评分） |\r\n| ratingCount | array | 评分数（time=时间，value=评分数） |\r\n| monthlySold | array | 子体销量（time=时间，value=销量） |\r\n| costToken | integer | 消耗token |\r\n\r\n## 错误码\r\n\r\n正常情况下，接口的 HTTP 状态码均为 200，业务的成功与否通过响应体中的 errorCode 字段区分（errorCode = 200 表示成功，其他值表示业务错误）。当遇到未授权等情况时，HTTP 状态码为 401，且对应的 errorCode 也是 401。\r\n\r\n| errcode | 含义 | 处理建议 |\r\n|---------|------|----------|\r\n| 200 | 成功 | 正常解析业务字段 |\r\n| 401 | 认证失败 | 检查请求头 `Authorization` 是否正确携带 API Key；API Key 申请方式请参考上述[调用规范](#调用规范)下的认证方式。|\r\n| 其他非200值 | 业务异常 | 参考 `errmsg` 字段获取具体错误原因 |\r\n\r\n错误响应示例：\r\n\r\n```json\r\n{\r\n \"errcode\": 401,\r\n \"errmsg\": \"authorized error\"\r\n}\r\n```\r\n\r\n## curl 示例\r\n\r\n```bash\r\ncurl -X POST https://tool-gateway.linkfox.com/keepa/productSeries \\\r\n -H \"Authorization: $LINKFOXAGENT_API_KEY\" \\\r\n -H \"Content-Type: application/json\" \\\r\n -d '{\"asin\": \"B0DFRJ7WSX\", \"domain\": \"1\", \"days\": 90, \"showBsrMain\": 1, \"showPrice\": 1, \"showSellerCount\": 1}'\r\n```\r\n\r\n---\r\n\r\n## Feedback API\r\n\r\n> This endpoint is **separate** from the tool API above. Do not mix the two base URLs.\r\n\r\n- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`\r\n- **Content-Type:** `application/json`\r\n\r\n```json\r\n{\r\n \"skillName\": \"linkfox-xxx-xxx\",\r\n \"sentiment\": \"POSITIVE\",\r\n \"category\": \"OTHER\",\r\n \"content\": \"Results were accurate, user was satisfied.\"\r\n}\r\n```\r\n\r\n**Field rules:**\r\n- `skillName`: Use this skill's `name` from the YAML frontmatter\r\n- `sentiment`: Choose ONE — `POSITIVE` (praise), `NEUTRAL` (suggestion without emotion), `NEGATIVE` (complaint or error)\r\n- `category`: Choose ONE — `BUG` (malfunction or wrong data), `COMPLAINT` (user dissatisfaction), `SUGGESTION` (improvement idea), `OTHER`\r\n- `content`: Include what the user said or intended, what actually happened, and why it is a problem or praise","readmeExcerpt":"Skill: Keepa-商品历史数据 Owner: linkfox-ai Summary: 查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及\"Keepa\"或\"时序数据\"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"asin: B0XXXXXXXX, domain: 1, days: 90"},{"language":"text","snippet":"asin: B0XXXXXXXX, domain: 3, days: 365, showBsrMain: 1"},{"language":"text","snippet":"asin: B0XXXXXXXX, domain: 1, days: 30, showPriceFba: 1, showPriceFbm: 1, showPrice: 1"},{"language":"text","snippet":"asin: B0XXXXXXXX, domain: 1, days: 90, showPriceDeal: 1, showPriceCoupon: 1"},{"language":"text","snippet":"asin: B0XXXXXXXX, domain: 1, days: 90, showPrice: 1, showPriceList: 1, showPriceDeal: 1, showPricePrime: 1, showPriceFba: 1, showPriceFbm: 1, showPriceCoupon: 1, showBsrMain: 1, showSellerCount: 1"},{"language":"text","snippet":"asin: B0XXXXXXXX, domain: 1, days: 90"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: linkfox-keepa-product-series\ndescription: 查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及\"Keepa\"或\"时序数据\"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变化趋势），也应触发此技能。\n---\n\n# Keepa Product Time-Series Data Explorer\n\nThis skill guides you on how to query and analyze Amazon product historical time-series data, helping Amazon sellers track price movements, BSR trends, rating changes, and other key product metrics over time.\n\n## Core Concepts\n\nThis tool provides historical time-series data for individual Amazon products (ASINs) powered by Keepa. It returns timestamped data points for various metrics, allowing trend analysis over a configurable time window (up to 365 days). Each query targets a single ASIN in a specific Amazon marketplace.\n\n**Time-series format**: All data series are returned as arrays of `{time, value}` objects, where `time` is a timestamp and `value` is the metric at that point. BSR data includes a `categoryName` field along with a `points` array. Analyze these fields from the saved JSON directly. `_dataQuery_executeDynamicQuery` reads Linkfox session data stored in SLS, not arbitrary JSON files; its supported data mappings do not determine whether these time series can be analyzed.\n\n**BSR logic**: A smaller BSR value means a better sales rank. Rank 1 is the top-selling product in its category. When a user says \"BSR improved\", it means the numeric value decreased; \"BSR dropped\" means the value increased.\n\n## Available Data Series\n\n| Series | Parameter | Description |\n|--------|-----------|-------------|\n| Buy Box Price | *(always returned)* | Buy Box price over time |\n| Lowest New Price | showPrice=1 | Lowest marketplace new item price |\n| List Price | showPriceList=1 | Strikethrough / list price |\n| Deal Price | showPriceDeal=1 | Lightning deal price |\n| Prime Exclusive Price | showPricePrime=1 | Prime-exclusive new item price |\n| FBA Price | showPriceFba=1 | Third-party FBA new item price |\n| FBM Price | showPriceFbm=1 | Third-party FBM new item price |\n| Coupon Price | showPriceCoupon=1 | Post-coupon Buy Box price |\n| Main Category BSR | showBsrMain=1 | Best Sellers Rank in the main (root) category |\n| Seller Count | showSellerCount=1 | Number of active sellers |\n| Rating | *(always returned)* | Product star rating over time |\n| Rating Count | *(always returned)* | Number of ratings over time |\n| Monthly Sales | *(always returned)* | Monthly unit sales volume |\n| Sub-category BSR | *(always returned)* | Best Sellers Rank in sub-categories |\n\n## Supported Marketplaces\n\n| Domain ID | Marketplace |\n|-----------|-------------|\n| 1 | Amazon.com (US) |\n| 2 | Amazon.co.uk (UK) |\n| 3 | Amazon.de (Germany) |\n| 4 | Amazon.fr (France) |\n| 5 | Amazon.co.jp (Japan) |\n| 6 | Ama"},{"path":"_meta.json","content":"{\n \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n \"slug\": \"linkfox-keepa-product-series\",\n \"version\": \"1.0.7\",\n \"publishedAt\": 1789363301755\n}"},{"path":"references/api.md","content":"# Keepa-亚马逊价格历史 API 参考\r\n\r\n## 调用规范\r\n\r\n- **请求地址**：`${LINKFOX_TOOL_GATEWAY}/keepa/productSeries`\r\n- **请求方式**：POST，Content-Type: application/json\r\n- **认证方式**：Header `Authorization: `，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取（如未配置 按 SKILL.md 的 **## 解决认证和算力问题** 处理）\r\n\r\n## 请求参数\r\n\r\nPOST Body（JSON）：\r\n\r\n| 参数 | 类型 | 必填 | 说明 |\r\n|------|------|------|------|\r\n| asin | string | 是 | 亚马逊标准识别号(ASIN)，只支持单个ASIN，最大长度1000 |\r\n| domain | string | 是 | 亚马逊域名ID。可选值：`1`（美国）、`2`（英国）、`3`（德国）、`4`（法国）、`5`（日本）、`6`（加拿大）、`8`（意大利）、`9`（西班牙）、`10`（印度）、`11`（墨西哥）、`12`（巴西） |\r\n| days | integer | 否 | 限制历史数据天数，默认 `90` 天，最大 `365` |\r\n| showPrice | integer | 否 | 设为 `1` 返回市场最低新品价曲线 |\r\n| showPriceList | integer | 否 | 设为 `1` 返回划线价/标价曲线 |\r\n| showPriceDeal | integer | 否 | 设为 `1` 返回闪促价格曲线 |\r\n| showPricePrime | integer | 否 | 设为 `1` 返回Prime专属新品价曲线 |\r\n| showPriceFba | integer | 否 | 设为 `1` 返回第三方FBA新品价曲线 |\r\n| showPriceFbm | integer | 否 | 设为 `1` 返回第三方FBM新品价曲线 |\r\n| showPriceCoupon | integer | 否 | 设为 `1` 返回优惠券后买盒价曲线 |\r\n| showBsrMain | integer | 否 | 设为 `1` 返回大类BSR曲线 |\r\n| showSellerCount | integer | 否 | 设为 `1` 返回卖家数曲线 |\r\n\r\n\r\n## 响应结构\r\n\r\n| 字段 | 类型 | 说明 |\r\n|------|------|------|\r\n| asin | string | ASIN |\r\n| buyboxPrice | array | Buybox价格（time=时间，value=Buybox价格） |\r\n| price | array | 价格（time=时间，value=价格） |\r\n| priceList | array | 划线价（time=时间，value=划线价格） |\r\n| priceDeal | array | Deal价格（time=时间，value=Deal价格） |\r\n| pricePrime | array | Prime价格（time=时间，value=Prime价格） |\r\n| priceFba | array | FBA价格（time=时间，value=FBA价格） |\r\n| priceFbm | array | FBM价格（time=时间，value=FBM价格） |\r\n| priceCoupon | array | coupon价格（time=时间，value=coupon价格） |\r\n| bsrMain | array | 大类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| bsrSub | array | 小类BSR，每个元素包含 `categoryName`（类目名称）和 `points`（time=时间，value=排名） |\r\n| sellerCount | array | 卖家数（time=时间，value=卖家数） |\r\n| rating | array | 评分（time=时间，value=评分） |\r\n| ratingCount | array | 评分数（time=时间，value=评分数） |\r\n| monthlySold | array | 子体销量（time=时间，value=销量） |\r\n| costToken | integer | 消耗token |\r\n\r\n## 错误码\r\n\r\n正常情况下，接口的 HTTP 状态码均为 200，业务的成功与否通过响应体中的 errorCode 字段区分（errorCode = 200 表示成功，其他值表示业务错误）。当遇到未授权等情况时，HTTP 状态码为 401，且对应的 errorCode 也是 401。\r\n\r\n| errcode | 含义 | 处理建议 |\r\n|---------|------|----------|\r\n| 200 | 成功 | 正常解析业务字段 |\r\n| 401 | 认证失败 | HTTP 401 或 authorized error：按 SKILL.md 的 **## 解决认证和算力问题** 处理。|\r\n| 402 | - | HTTP 402：按 SKILL.md 的 **## 解决认证和算力问题** 处理。|\r\n| 其他非200值 | 业务异常 | 参考 `errmsg` 字段获取具体错误原因 |\r\n\r\n错误响应示例：\r\n\r\n```json\r\n{\r\n \"errcode\": 401,\r\n \"errmsg\": \"authorized error\"\r\n}\r\n```\r\n\r\n## curl 示例\r\n\r\n```bash\r\ncurl -X POST https://tool-gateway.linkfox.com/keepa/productSeries \\\r\n -H \"Authorization: $LINKFOXAGENT_API_KEY\" \\\r\n -H \"Content-Type: application/json\" \\\r\n -d '{\"asin\": \"B0DFRJ7WSX\", \"domain\": \"1\", \"days\": 90, \"showBsrMain\": 1, \"showPrice\": 1, \"showSellerCount\": 1}'\r\n```\r\n\r\n---\r\n\r\n## Feedback API\r\n\r\n> This endpoint is **separate** from the tool API above. Do not mix the two base URLs.\r\n\r\n- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`\r\n- "},{"path":"references/onboarding.md","content":"# 解决认证和算力问题\n\n调用本 skill 时若网关返回 **auth** 或 **billing** 错误，走本 skill 自带的 `scripts/onboarding.py` 完成引导。\n\n**auth 场景**：`errcode=401` 或消息含 `authorized error`/`鉴权失败`/`未授权`/`unauthorized`；或 `LINKFOX_AGENT_API_KEY` 与 `LINKFOXAGENT_API_KEY` 均为空。\n1. 若已配置 key → 先让用户重启会话（最常见误判），仍失败让用户重新取 key 或换手机号重注册\n2. 未配置 → 询问：自助去 https://agent.linkfox.com/ 取 key，或提供手机号让脚本注册\n3. 手机号路径：\n - `python scripts/onboarding.py send-code ` → 展示 JSON 里的 phone/agreements\n - 收到验证码后：`python scripts/onboarding.py login `\n - 拿到 `api_key` 后把下面三平台配置转发给用户，提示重启会话生效：\n - Windows PowerShell（永久）：`setx LINKFOX_AGENT_API_KEY \"\"`\n - macOS zsh：`echo 'export LINKFOX_AGENT_API_KEY=\"\"' >> ~/.zshrc && source ~/.zshrc`\n - Linux bash：`echo 'export LINKFOX_AGENT_API_KEY=\"\"' >> ~/.bashrc && source ~/.bashrc`\n - 变量名 `LINKFOX_AGENT_API_KEY`（主推）或 `LINKFOXAGENT_API_KEY`（老规范）任一即可\n\n**billing 场景**：`errcode=402` 或消息含 `算力/余额/quota/insufficient/充值/套餐到期`。\n- `python scripts/onboarding.py list-plans` → 有 AskUserQuestion 就弹菜单，否则输出编号清单让用户选\n- 校验 `plan_id` ∈ 清单、支付方式 ∈ 该套餐 `available_methods`（通常 `wechat/alipay`）\n- `python scripts/onboarding.py order ` → 展示优先级 PNG > `pay_url` > `ascii_qr`（标注兜底）\n- 已付款可选调 `python scripts/onboarding.py query `，不主动轮询\n\n排除 `errcode=403`（无权限，不归入这两类）。所有子命令输出 stdout JSON，`error` 字段已含阶段前缀，透传给用户即可。完整用法：`python scripts/onboarding.py --help`。"},{"path":"skill-card.md","content":"## Description:\n\nQueries Amazon product historical time-series data for a single ASIN, including price, BSR, rating, seller-count, and monthly-sales trends across supported Amazon marketplaces.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[linkfox-ai](https://clawhub.ai/user/linkfox-ai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal Amazon sellers, marketplace analysts, and developers use this skill to retrieve and interpret product-level historical trends for a specific ASIN. It is suited to price tracking, BSR trend review, fulfillment price comparison, seller-count changes, rating trends, and monthly sales history.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill requires LinkFox account onboarding and API credentials for authenticated requests.\n\nMitigation: Configure credentials only through the documented LinkFox flow, treat API keys and SMS codes as secrets, and avoid exposing them in prompts or logs.\n\nRisk: Queries may consume paid quota or trigger billing flows.\n\nMitigation: Review cost and payment actions before approval, and avoid repeated retries or broad probing when a request fails or returns empty data.\n\nRisk: Full API responses are persisted locally and may contain product research data or account-session context.\n\nMitigation: Store outputs in an appropriate workspace, review saved response files before sharing, and delete local artifacts that are no longer needed.\n\nRisk: Custom LINKFOX_* endpoint variables can redirect requests away from the default LinkFox services.\n\nMitigation: Use the default endpoints unless a trusted administrator has explicitly provided alternate endpoints for the session.\n\nRisk: The skill includes automatic external feedback reporting behavior.\n\nMitigation: Review feedback content before sending and avoid including secrets, personal data, or confidential product research.\n\n## Reference(s):\n\n- [ClawHub Skill Page](https://clawhub.ai/linkfox-ai/skills/linkfox-keepa-product-series)\n- [Keepa Amazon Price History API Reference](references/api.md)\n- [Authentication and Billing Onboarding](references/onboarding.md)\n- [LinkFox Skills](https://skill.linkfox.com/)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Shell commands, Configuration, JSON, Guidance]\n\n**Output Format:** [Markdown guidance with shell commands and JSON API responses or summaries]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Full API responses are saved locally; small responses can be printed inline, while large responses are summarized unless inline output is requested.]\n\n## Skill Version(s):\n\n1.0.7 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及\"Keepa\"或\"时序数据\"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变化趋势），也应触发此技能。 Skill: Keepa-商品历史数据 Owner: linkfox-ai Summary: 查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及\"Keepa\"或\"时序数据\"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":1470,"uniquenessScore":46,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-12T00:03:21.441Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-12T00:03:21.441Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-14T15:21:37.516Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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