{"id":"d5633471-1b30-4946-9e27-f234200a2e54","entityType":"agent","slug":"clawhub-linkfox-ai-linkfox-temu-store-query","name":"Temu店铺查询","canonicalUrl":"https://www.xpersona.co/agent/clawhub-linkfox-ai-linkfox-temu-store-query","canonicalPath":"/agent/clawhub-linkfox-ai-linkfox-temu-store-query","generatedAt":"2026-10-10T21:51:01.939Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-10T16:17:53.819Z","emptyReason":null},"description":"按多维度筛选 Temu 店铺（店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等）。当用户提到 Temu 店铺、Temu 店铺分析、Temu seller、Temu 店铺排行、Temu 半托管店铺、Temu 销售额、temu stores、Temu store query 时触发。即使用户未提及工具名，只要在 Temu 上找店铺、筛店铺数据或分析店铺表现，也应触发此技能。 Skill: Temu店铺查询 Owner: linkfox-ai Summary: 按多维度筛选 Temu 店铺（店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等）。当用户提到 Temu 店铺、Temu 店铺分析、Temu seller、Temu 店铺排行、Temu 半托管店铺、Temu 销售额、temu stores、Temu store query 时触发。即使用户未提及工具名，只要在 Temu 上找店铺、筛店铺数据或分析店铺表现，也应触发此技能。 Tags: latest:1.0.9 Version history: v1.0.9 | 2026-08-14T15:19:58.133Z | user Update from 1.0.8 to 1.0.9 v1.0.8 | 2026-08-07T11:24:18.055Z | user Update from 1.0","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1.3K downloads reported by the source. 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店铺（店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等）。当用户提到 Temu 店铺、Temu 店铺分析、Temu seller、Temu 店铺排行、Temu 半托管店铺、Temu 销售额、temu stores、Temu store query 时触发。即使用户未提及工具名，只要在 Temu 上找店铺、筛店铺数据或分析店铺表现，也应触发此技能。\n\nTags: latest:1.0.9\n\nVersion history:\n\nv1.0.9 | 2026-08-14T15:19:58.133Z | user\n\nUpdate from 1.0.8 to 1.0.9\n\nv1.0.8 | 2026-08-07T11:24:18.055Z | user\n\nUpdate from 1.0.7 to 1.0.8\n\nv1.0.7 | 2026-07-13T12:43:09.896Z | user\n\nUpdate from 1.0.6 to 1.0.7\n\nv1.0.6 | 2026-07-10T05:40:58.500Z | user\n\nUpdate from 1.0.5 to 1.0.6\n\nv1.0.5 | 2026-07-09T05:45:26.243Z | user\n\nUpdate from 1.0.4 to 1.0.5\n\nv1.0.4 | 2026-07-09T05:20:30.873Z | user\n\nUpdate from 1.0.3 to 1.0.4\n\nArchive index:\n\nArchive v1.0.9: 7 files, 20171 bytes\n\nFiles: references/api.md (5870b), references/onboarding.md (2046b), scripts/onboarding.py (24089b), scripts/temu_store_query.py (12659b), skill-card.md (2855b), SKILL.md (2687b), _meta.json (143b)\n\nFile v1.0.9:SKILL.md\n\n---\nname: linkfox-temu-store-query\ndescription: 按多维度筛选 Temu 店铺（店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等）。当用户提到 Temu 店铺、Temu 店铺分析、Temu seller、Temu 店铺排行、Temu 半托管店铺、Temu 销售额、temu stores、Temu store query 时触发。即使用户未提及工具名，只要在 Temu 上找店铺、筛店铺数据或分析店铺表现，也应触发此技能。\n---\n\n# Temu 店铺查询\n\n在具备 LinkFox「第三方数据服务」MCP 时，对应网关路由 **`ehunt/temu/storeQuery`** 调用（MCP 展示名：**Temu 店铺查询**，确切工具名以当前环境下发的工具元数据为准）。鉴权与上游路由由网关处理；若响应含根级 `code` 字段，是否成功以实网为准。\n\n## 要点\n\n- **分页**：`page` 从 1 起；`pageSize` 默认 20、最大 100。\n- **区间入参**：`*Min` / `*Max` 成对出现（总/周/月销量、总/周/月销售额、评分、评论、粉丝、商品数），组成上游区间。\n- **站点**：`siteId` 国家站点 ID，多个逗号分隔（如 `211`=美国、`76`=英国）。\n- **类目**：`category` 后台类目 ID，多个逗号分隔。\n- **托管模式**：`isLocal`（0=全托管，1=半托管，字符串）。\n- **开店时间**：`listedTimeBegin` / `listedTimeEnd`（YYYY-MM-DD）。\n- **排序**：`sortBy` 为「字段-方向」字符串，如 `order_week_count-0`（周销量降序，默认）、`order_count-0`、`total_revenue-0`、`rating-0`。\n\n## 脚本（可选）\n\n命令行调试：`python scripts/temu_store_query.py '<JSON>'`（需 `LINKFOXAGENT_API_KEY`）。详见 [references/api.md](references/api.md) 末尾。\n\n## 参考\n\n入参/出参表见 [references/api.md](references/api.md)。\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## 积分消耗规则\n\n按动态规则计费：消耗积分 = 店铺数量 × 1.8。按本页返回条数计费；翻到下一页，本质上是再发一次请求，再按下一页返回条数重新计算。\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\nFile v1.0.9:_meta.json\n\n{\n  \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n  \"slug\": \"linkfox-temu-store-query\",\n  \"version\": \"1.0.9\",\n  \"publishedAt\": 1786720798133\n}\n\nFile v1.0.9:references/api.md\n\n# Temu 店铺查询 API 参考\n\n## 调用说明\n\n- **网关路由**：`POST ehunt/temu/storeQuery`（完整：`${LINKFOX_TOOL_GATEWAY}/ehunt/temu/storeQuery`）。\n- **MCP 展示名**：Temu 店铺查询（确切工具名以当前环境下发的工具元数据为准）。\n- **鉴权**：请求头 `Authorization: <api_key>`，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）。\n- **说明**：参数与返回结构以当前网关返回为准；若上游返回 JSON 根级 `code` 字段，成功值（`200`）以实网为准。无数据时网关可能抛错。\n\n## 请求参数（JSON）\n\n| 参数 | 类型 | 必填 | 说明 |\n|------|------|------|------|\n| searchKey | string, maxLen=500 | 否 | 店铺名称或 ID 关键词 |\n| siteId | string | 否 | 国家站点 ID，多个逗号分隔（如 211=美国，76=英国） |\n| category | string | 否 | 后台类目 ID，多个逗号分隔 |\n| isLocal | string | 否 | 是否半托管：0=全托管，1=半托管 |\n| orderTotalMin | integer，≥0 | 否 | 总销量区间（起始） |\n| orderTotalMax | integer，≥0 | 否 | 总销量区间（结束） |\n| orderWeekMin | integer，≥0 | 否 | 周销量区间（起始） |\n| orderWeekMax | integer，≥0 | 否 | 周销量区间（结束） |\n| orderMonthMin | integer，≥0 | 否 | 月销量区间（起始） |\n| orderMonthMax | integer，≥0 | 否 | 月销量区间（结束） |\n| totalRevenueMin | number，≥0 | 否 | 总销售额区间（USD，起始） |\n| totalRevenueMax | number，≥0 | 否 | 总销售额区间（USD，结束） |\n| weekRevenueMin | number，≥0 | 否 | 周销售额区间（USD，起始） |\n| weekRevenueMax | number，≥0 | 否 | 周销售额区间（USD，结束） |\n| monthRevenueMin | number，≥0 | 否 | 月销售额区间（USD，起始） |\n| monthRevenueMax | number，≥0 | 否 | 月销售额区间（USD，结束） |\n| ratingMin | number (0~5) | 否 | 评分区间（起始） |\n| ratingMax | number (0~5) | 否 | 评分区间（结束） |\n| reviewNumMin | integer，≥0 | 否 | 评论数区间（起始） |\n| reviewNumMax | integer，≥0 | 否 | 评论数区间（结束） |\n| followerNumMin | integer，≥0 | 否 | 粉丝数区间（起始） |\n| followerNumMax | integer，≥0 | 否 | 粉丝数区间（结束） |\n| productNumMin | integer，≥0 | 否 | 商品数区间（起始） |\n| productNumMax | integer，≥0 | 否 | 商品数区间（结束） |\n| listedTimeBegin | string (YYYY-MM-DD) | 否 | 开店日期区间（起始） |\n| listedTimeEnd | string (YYYY-MM-DD) | 否 | 开店日期区间（结束） |\n| sortBy | string | 否 | 排序字段+方向：`order_week_count-0`（周销量降序，默认）、`order_count-0`、`total_revenue-0`、`rating-0` |\n| page | integer，≥1，默认 1 | 否 | 页码（从 1 开始） |\n| pageSize | integer，1~100，默认 20 | 否 | 每页条数，最大 100 |\n\n## 响应主要字段\n\n| 字段 | 类型 | 说明 |\n|------|------|------|\n| total | integer | 本页返回条数 |\n| storeNum | integer | 符合条件的店铺总数（上游 `store_num`） |\n| stores | array | Temu 店铺列表 |\n| columns | array | 渲染的列 |\n| title | string | 标题（`Temu 店铺查询`） |\n| sourceType | string | 来源类型：temu |\n| sourceTool | string | 工具类型：ehunt |\n| type | string | 渲染的样式：tableListWorkbenches |\n\n### `stores[]` 元素\n\n| 字段 | 上游别名 | 说明 |\n|------|----------|------|\n| storeId | `store_id` | 店铺 ID |\n| siteId | `site_id` | 国家站点 ID |\n| storeName | `store_name` | 店铺名称 |\n| logoUrl | `logo_url` | 店铺 Logo URL |\n| orderTotal | `order_total` | 总销量 |\n| orderWeek | `order_week` | 周销量 |\n| orderMonth | `order_month` | 月销量 |\n| totalRevenue | `total_revenue` | 总销售额 |\n| weekRevenue | `week_revenue` | 周销售额 |\n| monthRevenue | `month_revenue` | 月销售额 |\n| rating | - | 评分 |\n| listedTime | `listed_time` | 开店时间 |\n| reviewNum | `review_num` | 评论数 |\n| followerNum | `follower_num` | 粉丝数 |\n| productNum | `product_num` | 商品数 |\n| categoriesCn | `categories_cn` | 中文类目列表 |\n| categories | - | 英文类目列表 |\n| isLocal | `is_local` | 是否半托管：0=全托管，1=半托管 |\n\n## 脚本调试（可选）\n\n仓库内提供 **`scripts/temu_store_query.py`**（Python 3，仅标准库），向 LinkFox 工具网关 POST 与 MCP 入参一致的 JSON。\n\n- **网关**：`https://tool-gateway.linkfox.com`（可用 `LINKFOX_TOOL_GATEWAY_BASE` 覆盖根 URL）\n- **默认路径段**：`ehunt/temu/storeQuery`（可用 `LINKFOX_EHUNT_TEMU_STORE_QUERY_PATH` 覆盖，不含域名）\n- **鉴权**：环境变量 `LINKFOXAGENT_API_KEY`（与其他 `linkfox-*` skill 相同；如未配置 按 SKILL.md 的 **## 解决认证和积分问题** 处理）\n\n```bash\nexport LINKFOXAGENT_API_KEY=\"<your-key>\"\npython scripts/temu_store_query.py '{\"searchKey\": \"home\", \"siteId\": \"211\", \"page\": 1, \"pageSize\": 20}'\n```\n\n若返回 404，说明部署上该工具的 HTTP 路径与默认不一致，请用 `listEnabledTool` 或运维确认实际 path 后设置 `LINKFOX_EHUNT_TEMU_STORE_QUERY_PATH`。\n\n## Feedback API\n\n> 与上方工具网关 API 独立，勿混用 Base URL。\n\n- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`\n- **Content-Type:** `application/json`\n\n```json\n{\n  \"skillName\": \"linkfox-temu-store-query\",\n  \"sentiment\": \"POSITIVE\",\n  \"category\": \"OTHER\",\n  \"content\": \"Results were accurate, user was satisfied.\"\n}\n```\n\n**Field rules:**\n- `skillName`: 使用本 skill YAML frontmatter 中的 `name`\n- `sentiment`: `POSITIVE` / `NEUTRAL` / `NEGATIVE`\n- `category`: `BUG` / `COMPLAINT` / `SUGGESTION` / `OTHER`\n- `content`: 简述用户意图、实际结果与问题或好评原因\n\nFile v1.0.9: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 <phone>` → 展示 JSON 里的 phone/agreements\n   - 收到验证码后：`python scripts/onboarding.py login <phone> <code>`（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 \"<key>\"`\n     - macOS zsh：`echo 'export LINKFOX_AGENT_API_KEY=\"<key>\"' >> ~/.zshrc && source ~/.zshrc`\n     - Linux bash：`echo 'export LINKFOX_AGENT_API_KEY=\"<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 <plan_id> <method>` → 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 <order_id>`，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 v1.0.9:skill-card.md\n\n## Description:\n\nQueries and filters Temu store records by store identity, country site, category, fulfillment model, sales, revenue, rating, reviews, followers, product count, and listing date.\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 ecommerce analysts use this skill to find, rank, and compare Temu stores across operational and sales-performance filters. Agents can also guide users through LinkFox API-key setup and billing recovery when authentication or balance errors block a query.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill handles LinkFox API keys, SMS-code login, and payment-order flows.\n\nMitigation: Use LinkFox's official site or an OS credential manager for credentials, avoid entering SMS codes or API keys in logged terminals, and review onboarding prompts before continuing.\n\nRisk: Custom LINKFOX_* endpoint variables could redirect API-key-bearing requests to an untrusted service.\n\nMitigation: Use the default LinkFox endpoints unless the custom endpoint is fully trusted and expected for the deployment.\n\nRisk: Queries consume LinkFox credits dynamically based on the returned store count, and additional pages trigger additional billed requests.\n\nMitigation: Use narrow filters and small page sizes first, show expected billing implications when available, and ask the user before running broad or repeated page queries.\n\nRisk: The query script saves full API responses as local JSON files, which may retain business search results beyond the chat response.\n\nMitigation: Store outputs only in appropriate workspaces and remove saved response files when they are no longer needed.\n\n## Reference(s):\n\n- [Temu Store Query API Reference](references/api.md)\n- [Authentication and Billing Onboarding](references/onboarding.md)\n- [ClawHub Skill Page](https://clawhub.ai/linkfox-ai/skills/linkfox-temu-store-query)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, JSON, files, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown guidance, shell commands, and JSON query results or summaries; full API responses may be written to JSON files.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires a LinkFox API key; pageSize is capped at 100; identical query responses may be cached for 24 hours; large responses are summarized while full responses are saved.]\n\n## Skill Version(s):\n\n1.0.9 (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 v1.0.8: 7 files, 20267 bytes\n\nFiles: references/api.md (5870b), references/onboarding.md (2046b), scripts/onboarding.py (24089b), scripts/temu_store_query.py (12659b), skill-card.md (2747b), SKILL.md (2687b), _meta.json (143b)\n\nFile v1.0.8:SKILL.md\n\n---\nname: linkfox-temu-store-query\ndescription: 按多维度筛选 Temu 店铺（店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等）。当用户提到 Temu 店铺、Temu 店铺分析、Temu seller、Temu 店铺排行、Temu 半托管店铺、Temu 销售额、temu stores、Temu store query 时触发。即使用户未提及工具名，只要在 Temu 上找店铺、筛店铺数据或分析店铺表现，也应触发此技能。\n---\n\n# Temu 店铺查询\n\n在具备 LinkFox「第三方数据服务」MCP 时，对应网关路由 **`ehunt/temu/storeQuery`** 调用（MCP 展示名：**Temu 店铺查询**，确切工具名以当前环境下发的工具元数据为准）。鉴权与上游路由由网关处理；若响应含根级 `code` 字段，是否成功以实网为准。\n\n## 要点\n\n- **分页**：`page` 从 1 起；`pageSize` 默认 20、最大 100。\n- **区间入参**：`*Min` / `*Max` 成对出现（总/周/月销量、总/周/月销售额、评分、评论、粉丝、商品数），组成上游区间。\n- **站点**：`siteId` 国家站点 ID，多个逗号分隔（如 `211`=美国、`76`=英国）。\n- **类目**：`category` 后台类目 ID，多个逗号分隔。\n- **托管模式**：`isLocal`（0=全托管，1=半托管，字符串）。\n- **开店时间**：`listedTimeBegin` / `listedTimeEnd`（YYYY-MM-DD）。\n- **排序**：`sortBy` 为「字段-方向」字符串，如 `order_week_count-0`（周销量降序，默认）、`order_count-0`、`total_revenue-0`、`rating-0`。\n\n## 脚本（可选）\n\n命令行调试：`python scripts/temu_store_query.py '<JSON>'`（需 `LINKFOXAGENT_API_KEY`）。详见 [references/api.md](references/api.md) 末尾。\n\n## 参考\n\n入参/出参表见 [references/api.md](references/api.md)。\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## 积分消耗规则\n\n按动态规则计费：消耗积分 = 店铺数量 × 1.8。按本页返回条数计费；翻到下一页，本质上是再发一次请求，再按下一页返回条数重新计算。\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\nFile v1.0.8:_meta.json\n\n{\n  \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n  \"slug\": \"linkfox-temu-store-query\",\n  \"version\": \"1.0.8\",\n  \"publishedAt\": 1786101858055\n}\n\nFile v1.0.8:references/api.md\n\n# Temu 店铺查询 API 参考\n\n## 调用说明\n\n- **网关路由**：`POST ehunt/temu/storeQuery`（完整：`${LINKFOX_TOOL_GATEWAY}/ehunt/temu/storeQuery`）。\n- **MCP 展示名**：Temu 店铺查询（确切工具名以当前环境下发的工具元数据为准）。\n- **鉴权**：请求头 `Authorization: <api_key>`，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）。\n- **说明**：参数与返回结构以当前网关返回为准；若上游返回 JSON 根级 `code` 字段，成功值（`200`）以实网为准。无数据时网关可能抛错。\n\n## 请求参数（JSON）\n\n| 参数 | 类型 | 必填 | 说明 |\n|------|------|------|------|\n| searchKey | string, maxLen=500 | 否 | 店铺名称或 ID 关键词 |\n| siteId | string | 否 | 国家站点 ID，多个逗号分隔（如 211=美国，76=英国） |\n| category | string | 否 | 后台类目 ID，多个逗号分隔 |\n| isLocal | string | 否 | 是否半托管：0=全托管，1=半托管 |\n| orderTotalMin | integer，≥0 | 否 | 总销量区间（起始） |\n| orderTotalMax | integer，≥0 | 否 | 总销量区间（结束） |\n| orderWeekMin | integer，≥0 | 否 | 周销量区间（起始） |\n| orderWeekMax | integer，≥0 | 否 | 周销量区间（结束） |\n| orderMonthMin | integer，≥0 | 否 | 月销量区间（起始） |\n| orderMonthMax | integer，≥0 | 否 | 月销量区间（结束） |\n| totalRevenueMin | number，≥0 | 否 | 总销售额区间（USD，起始） |\n| totalRevenueMax | number，≥0 | 否 | 总销售额区间（USD，结束） |\n| weekRevenueMin | number，≥0 | 否 | 周销售额区间（USD，起始） |\n| weekRevenueMax | number，≥0 | 否 | 周销售额区间（USD，结束） |\n| monthRevenueMin | number，≥0 | 否 | 月销售额区间（USD，起始） |\n| monthRevenueMax | number，≥0 | 否 | 月销售额区间（USD，结束） |\n| ratingMin | number (0~5) | 否 | 评分区间（起始） |\n| ratingMax | number (0~5) | 否 | 评分区间（结束） |\n| reviewNumMin | integer，≥0 | 否 | 评论数区间（起始） |\n| reviewNumMax | integer，≥0 | 否 | 评论数区间（结束） |\n| followerNumMin | integer，≥0 | 否 | 粉丝数区间（起始） |\n| followerNumMax | integer，≥0 | 否 | 粉丝数区间（结束） |\n| productNumMin | integer，≥0 | 否 | 商品数区间（起始） |\n| productNumMax | integer，≥0 | 否 | 商品数区间（结束） |\n| listedTimeBegin | string (YYYY-MM-DD) | 否 | 开店日期区间（起始） |\n| listedTimeEnd | string (YYYY-MM-DD) | 否 | 开店日期区间（结束） |\n| sortBy | string | 否 | 排序字段+方向：`order_week_count-0`（周销量降序，默认）、`order_count-0`、`total_revenue-0`、`rating-0` |\n| page | integer，≥1，默认 1 | 否 | 页码（从 1 开始） |\n| pageSize | integer，1~100，默认 20 | 否 | 每页条数，最大 100 |\n\n## 响应主要字段\n\n| 字段 | 类型 | 说明 |\n|------|------|------|\n| total | integer | 本页返回条数 |\n| storeNum | integer | 符合条件的店铺总数（上游 `store_num`） |\n| stores | array | Temu 店铺列表 |\n| columns | array | 渲染的列 |\n| title | string | 标题（`Temu 店铺查询`） |\n| sourceType | string | 来源类型：temu |\n| sourceTool | string | 工具类型：ehunt |\n| type | string | 渲染的样式：tableListWorkbenches |\n\n### `stores[]` 元素\n\n| 字段 | 上游别名 | 说明 |\n|------|----------|------|\n| storeId | `store_id` | 店铺 ID |\n| siteId | `site_id` | 国家站点 ID |\n| storeName | `store_name` | 店铺名称 |\n| logoUrl | `logo_url` | 店铺 Logo URL |\n| orderTotal | `order_total` | 总销量 |\n| orderWeek | `order_week` | 周销量 |\n| orderMonth | `order_month` | 月销量 |\n| totalRevenue | `total_revenue` | 总销售额 |\n| weekRevenue | `week_revenue` | 周销售额 |\n| monthRevenue | `month_revenue` | 月销售额 |\n| rating | - | 评分 |\n| listedTime | `listed_time` | 开店时间 |\n| reviewNum | `review_num` | 评论数 |\n| followerNum | `follower_num` | 粉丝数 |\n| productNum | `product_num` | 商品数 |\n| categoriesCn | `categories_cn` | 中文类目列表 |\n| categories | - | 英文类目列表 |\n| isLocal | `is_local` | 是否半托管：0=全托管，1=半托管 |\n\n## 脚本调试（可选）\n\n仓库内提供 **`scripts/temu_store_query.py`**（Python 3，仅标准库），向 LinkFox 工具网关 POST 与 MCP 入参一致的 JSON。\n\n- **网关**：`https://tool-gateway.linkfox.com`（可用 `LINKFOX_TOOL_GATEWAY_BASE` 覆盖根 URL）\n- **默认路径段**：`ehunt/temu/storeQuery`（可用 `LINKFOX_EHUNT_TEMU_STORE_QUERY_PATH` 覆盖，不含域名）\n- **鉴权**：环境变量 `LINKFOXAGENT_API_KEY`（与其他 `linkfox-*` skill 相同；如未配置 按 SKILL.md 的 **## 解决认证和积分问题** 处理）\n\n```bash\nexport LINKFOXAGENT_API_KEY=\"<your-key>\"\npython scripts/temu_store_query.py '{\"searchKey\": \"home\", \"siteId\": \"211\", \"page\": 1, \"pageSize\": 20}'\n```\n\n若返回 404，说明部署上该工具的 HTTP 路径与默认不一致，请用 `listEnabledTool` 或运维确认实际 path 后设置 `LINKFOX_EHUNT_TEMU_STORE_QUERY_PATH`。\n\n## Feedback API\n\n> 与上方工具网关 API 独立，勿混用 Base URL。\n\n- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`\n- **Content-Type:** `application/json`\n\n```json\n{\n  \"skillName\": \"linkfox-temu-store-query\",\n  \"sentiment\": \"POSITIVE\",\n  \"category\": \"OTHER\",\n  \"content\": \"Results were accurate, user was satisfied.\"\n}\n```\n\n**Field rules:**\n- `skillName`: 使用本 skill YAML frontmatter 中的 `name`\n- `sentiment`: `POSITIVE` / `NEUTRAL` / `NEGATIVE`\n- `category`: `BUG` / `COMPLAINT` / `SUGGESTION` / `OTHER`\n- `content`: 简述用户意图、实际结果与问题或好评原因\n\nFile v1.0.8: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 <phone>` → 展示 JSON 里的 phone/agreements\n   - 收到验证码后：`python scripts/onboarding.py login <phone> <code>`（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 \"<key>\"`\n     - macOS zsh：`echo 'export LINKFOX_AGENT_API_KEY=\"<key>\"' >> ~/.zshrc && source ~/.zshrc`\n     - Linux bash：`echo 'export LINKFOX_AGENT_API_KEY=\"<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 <plan_id> <method>` → 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 <order_id>`，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 v1.0.8:skill-card.md\n\n## Description:\n\n按多维度筛选 Temu 店铺（店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等）。\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 developers use this skill to query and analyze Temu store performance through LinkFox's third-party data service, filtering by store identity, country site, category, fulfillment mode, sales, revenue, rating, reviews, followers, product count, and listing date.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill handles a LinkFox API key and can guide phone/SMS onboarding.\n\nMitigation: Prefer obtaining keys through the official LinkFox site yourself, and configure keys only in trusted environments using LINKFOX_AGENT_API_KEY or LINKFOXAGENT_API_KEY.\n\nRisk: The skill can consume paid LinkFox credits and includes payment-order flows.\n\nMitigation: Require explicit user confirmation before starting payment flows or large paginated queries, and disclose the documented dynamic credit cost before continuing.\n\nRisk: The query script saves full API responses to local response files.\n\nMitigation: Run the skill only in an intended workspace and review or remove local linkfox response files when they contain sensitive business data.\n\nRisk: Custom LinkFox endpoint environment variables can change where requests are sent.\n\nMitigation: Use the default LinkFox endpoints unless a trusted operator has verified the override.\n\n## Reference(s):\n\n- [Temu 店铺查询 API 参考](references/api.md)\n- [解决认证和积分问题](references/onboarding.md)\n- [ClawHub skill page](https://clawhub.ai/linkfox-ai/skills/linkfox-temu-store-query)\n- [LinkFox agent portal](https://agent.linkfox.com/)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, JSON, files, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown guidance with JSON API parameters, shell commands, and optional saved JSON response files]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [The query script writes full responses under a local linkfox session data directory, prints small responses inline, and summarizes larger responses unless inline output is requested.]\n\n## Skill Version(s):\n\n1.0.8 (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 v1.0.7: 5 files, 11058 bytes\n\nFiles: references/api.md (5870b), scripts/temu_store_query.py (12659b), skill-card.md (2402b), SKILL.md (3304b), _meta.json (143b)\n\nFile v1.0.7:SKILL.md\n\n---\nname: linkfox-temu-store-query\ndescription: 按多维度筛选 Temu 店铺（店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等）。当用户提到 Temu 店铺、Temu 店铺分析、Temu seller、Temu 店铺排行、Temu 半托管店铺、Temu 销售额、temu stores、Temu store query 时触发。即使用户未提及工具名，只要在 Temu 上找店铺、筛店铺数据或分析店铺表现，也应触发此技能。\n---\n\n# Temu 店铺查询\n\n在具备 LinkFox「第三方数据服务」MCP 时，对应网关路由 **`ehunt/temu/storeQuery`** 调用（MCP 展示名：**Temu 店铺查询**，确切工具名以当前环境下发的工具元数据为准）。鉴权与上游路由由网关处理；若响应含根级 `code` 字段，是否成功以实网为准。\n\n## 要点\n\n- **分页**：`page` 从 1 起；`pageSize` 默认 20、最大 100。\n- **区间入参**：`*Min` / `*Max` 成对出现（总/周/月销量、总/周/月销售额、评分、评论、粉丝、商品数），组成上游区间。\n- **站点**：`siteId` 国家站点 ID，多个逗号分隔（如 `211`=美国、`76`=英国）。\n- **类目**：`category` 后台类目 ID，多个逗号分隔。\n- **托管模式**：`isLocal`（0=全托管，1=半托管，字符串）。\n- **开店时间**：`listedTimeBegin` / `listedTimeEnd`（YYYY-MM-DD）。\n- **排序**：`sortBy` 为「字段-方向」字符串，如 `order_week_count-0`（周销量降序，默认）、`order_count-0`、`total_revenue-0`、`rating-0`。\n\n## 脚本（可选）\n\n命令行调试：`python scripts/temu_store_query.py '<JSON>'`（需 `LINKFOXAGENT_API_KEY`）。详见 [references/api.md](references/api.md) 末尾。\n\n## 参考\n\n入参/出参表见 [references/api.md](references/api.md)。\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## 积分消耗规则\n\n按动态规则计费：消耗积分 = 店铺数量 × 1.8。按本页返回条数计费；翻到下一页，本质上是再发一次请求，再按下一页返回条数重新计算。\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\nFile v1.0.7:_meta.json\n\n{\n  \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n  \"slug\": \"linkfox-temu-store-query\",\n  \"version\": \"1.0.7\",\n  \"publishedAt\": 1783946589896\n}\n\nFile v1.0.7:references/api.md\n\n# Temu 店铺查询 API 参考\n\n## 调用说明\n\n- **网关路由**：`POST ehunt/temu/storeQuery`（完整：`${LINKFOX_TOOL_GATEWAY}/ehunt/temu/storeQuery`）。\n- **MCP 展示名**：Temu 店铺查询（确切工具名以当前环境下发的工具元数据为准）。\n- **鉴权**：请求头 `Authorization: <api_key>`，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）。\n- **说明**：参数与返回结构以当前网关返回为准；若上游返回 JSON 根级 `code` 字段，成功值（`200`）以实网为准。无数据时网关可能抛错。\n\n## 请求参数（JSON）\n\n| 参数 | 类型 | 必填 | 说明 |\n|------|------|------|------|\n| searchKey | string, maxLen=500 | 否 | 店铺名称或 ID 关键词 |\n| siteId | string | 否 | 国家站点 ID，多个逗号分隔（如 211=美国，76=英国） |\n| category | string | 否 | 后台类目 ID，多个逗号分隔 |\n| isLocal | string | 否 | 是否半托管：0=全托管，1=半托管 |\n| orderTotalMin | integer，≥0 | 否 | 总销量区间（起始） |\n| orderTotalMax | integer，≥0 | 否 | 总销量区间（结束） |\n| orderWeekMin | integer，≥0 | 否 | 周销量区间（起始） |\n| orderWeekMax | integer，≥0 | 否 | 周销量区间（结束） |\n| orderMonthMin | integer，≥0 | 否 | 月销量区间（起始） |\n| orderMonthMax | integer，≥0 | 否 | 月销量区间（结束） |\n| totalRevenueMin | number，≥0 | 否 | 总销售额区间（USD，起始） |\n| totalRevenueMax | number，≥0 | 否 | 总销售额区间（USD，结束） |\n| weekRevenueMin | number，≥0 | 否 | 周销售额区间（USD，起始） |\n| weekRevenueMax | number，≥0 | 否 | 周销售额区间（USD，结束） |\n| monthRevenueMin | number，≥0 | 否 | 月销售额区间（USD，起始） |\n| monthRevenueMax | number，≥0 | 否 | 月销售额区间（USD，结束） |\n| ratingMin | number (0~5) | 否 | 评分区间（起始） |\n| ratingMax | number (0~5) | 否 | 评分区间（结束） |\n| reviewNumMin | integer，≥0 | 否 | 评论数区间（起始） |\n| reviewNumMax | integer，≥0 | 否 | 评论数区间（结束） |\n| followerNumMin | integer，≥0 | 否 | 粉丝数区间（起始） |\n| followerNumMax | integer，≥0 | 否 | 粉丝数区间（结束） |\n| productNumMin | integer，≥0 | 否 | 商品数区间（起始） |\n| productNumMax | integer，≥0 | 否 | 商品数区间（结束） |\n| listedTimeBegin | string (YYYY-MM-DD) | 否 | 开店日期区间（起始） |\n| listedTimeEnd | string (YYYY-MM-DD) | 否 | 开店日期区间（结束） |\n| sortBy | string | 否 | 排序字段+方向：`order_week_count-0`（周销量降序，默认）、`order_count-0`、`total_revenue-0`、`rating-0` |\n| page | integer，≥1，默认 1 | 否 | 页码（从 1 开始） |\n| pageSize | integer，1~100，默认 20 | 否 | 每页条数，最大 100 |\n\n## 响应主要字段\n\n| 字段 | 类型 | 说明 |\n|------|------|------|\n| total | integer | 本页返回条数 |\n| storeNum | integer | 符合条件的店铺总数（上游 `store_num`） |\n| stores | array | Temu 店铺列表 |\n| columns | array | 渲染的列 |\n| title | string | 标题（`Temu 店铺查询`） |\n| sourceType | string | 来源类型：temu |\n| sourceTool | string | 工具类型：ehunt |\n| type | string | 渲染的样式：tableListWorkbenches |\n\n### `stores[]` 元素\n\n| 字段 | 上游别名 | 说明 |\n|------|----------|------|\n| storeId | `store_id` | 店铺 ID |\n| siteId | `site_id` | 国家站点 ID |\n| storeName | `store_name` | 店铺名称 |\n| logoUrl | `logo_url` | 店铺 Logo URL |\n| orderTotal | `order_total` | 总销量 |\n| orderWeek | `order_week` | 周销量 |\n| orderMonth | `order_month` | 月销量 |\n| totalRevenue | `total_revenue` | 总销售额 |\n| weekRevenue | `week_revenue` | 周销售额 |\n| monthRevenue | `month_revenue` | 月销售额 |\n| rating | - | 评分 |\n| listedTime | `listed_time` | 开店时间 |\n| reviewNum | `review_num` | 评论数 |\n| followerNum | `follower_num` | 粉丝数 |\n| productNum | `product_num` | 商品数 |\n| categoriesCn | `categories_cn` | 中文类目列表 |\n| categories | - | 英文类目列表 |\n| isLocal | `is_local` | 是否半托管：0=全托管，1=半托管 |\n\n## 脚本调试（可选）\n\n仓库内提供 **`scripts/temu_store_query.py`**（Python 3，仅标准库），向 LinkFox 工具网关 POST 与 MCP 入参一致的 JSON。\n\n- **网关**：`https://tool-gateway.linkfox.com`（可用 `LINKFOX_TOOL_GATEWAY_BASE` 覆盖根 URL）\n- **默认路径段**：`ehunt/temu/storeQuery`（可用 `LINKFOX_EHUNT_TEMU_STORE_QUERY_PATH` 覆盖，不含域名）\n- **鉴权**：环境变量 `LINKFOXAGENT_API_KEY`（与其他 `linkfox-*` skill 相同；如未配置 按 SKILL.md 的 **## 解决认证和积分问题** 处理）\n\n```bash\nexport LINKFOXAGENT_API_KEY=\"<your-key>\"\npython scripts/temu_store_query.py '{\"searchKey\": \"home\", \"siteId\": \"211\", \"page\": 1, \"pageSize\": 20}'\n```\n\n若返回 404，说明部署上该工具的 HTTP 路径与默认不一致，请用 `listEnabledTool` 或运维确认实际 path 后设置 `LINKFOX_EHUNT_TEMU_STORE_QUERY_PATH`。\n\n## Feedback API\n\n> 与上方工具网关 API 独立，勿混用 Base URL。\n\n- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`\n- **Content-Type:** `application/json`\n\n```json\n{\n  \"skillName\": \"linkfox-temu-store-query\",\n  \"sentiment\": \"POSITIVE\",\n  \"category\": \"OTHER\",\n  \"content\": \"Results were accurate, user was satisfied.\"\n}\n```\n\n**Field rules:**\n- `skillName`: 使用本 skill YAML frontmatter 中的 `name`\n- `sentiment`: `POSITIVE` / `NEUTRAL` / `NEGATIVE`\n- `category`: `BUG` / `COMPLAINT` / `SUGGESTION` / `OTHER`\n- `content`: 简述用户意图、实际结果与问题或好评原因\n\nFile v1.0.7:skill-card.md\n\n## Description: <br>\nFilters and retrieves Temu store records by keyword, site, category, hosting mode, sales, revenue, ratings, reviews, followers, product counts, and listing dates. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[linkfox-ai](https://clawhub.ai/user/linkfox-ai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nE-commerce analysts and agents use this skill to find, filter, rank, and inspect Temu stores across sites, categories, fulfillment modes, sales metrics, revenue, ratings, reviews, followers, product counts, and listing dates. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Queries use LinkFox paid Temu store analytics access and can consume credits based on returned store count. <br>\nMitigation: Confirm the requested page size, expected result count, and credit cost with the user before running queries. <br>\nRisk: Full API responses may be saved locally and can end up outside the active project if normal output paths are unavailable. <br>\nMitigation: Tell the user where response files are saved and avoid running broad queries when the destination is unclear. <br>\nRisk: The documented feedback endpoint can send a summary of user intent and results to LinkFox. <br>\nMitigation: Use the feedback endpoint only after the user explicitly agrees to send that information. <br>\n\n\n## Reference(s): <br>\n- [Temu Store Query API Reference](references/api.md) <br>\n- [ClawHub Skill Page](https://clawhub.ai/linkfox-ai/skills/linkfox-temu-store-query) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Text, JSON, Files, Shell commands, Guidance] <br>\n**Output Format:** [JSON API responses, saved JSON files, concise text summaries, and Markdown guidance with shell command examples] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [The optional CLI can save full API responses to a LinkFox session data directory, print small responses inline, and summarize larger responses.] <br>\n\n## Skill Version(s): <br>\n1.0.7 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\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. <br>\n\nArchive v1.0.6: 5 files, 10225 bytes\n\nFiles: references/api.md (5782b), scripts/temu_store_query.py (12740b), skill-card.md (2250b), SKILL.md (1858b), _meta.json (143b)\n\nFile v1.0.6:SKILL.md\n\n---\nname: linkfox-temu-store-query\ndescription: 按多维度筛选 Temu 店铺（店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等）。当用户提到 Temu 店铺、Temu 店铺分析、Temu seller、Temu 店铺排行、Temu 半托管店铺、Temu 销售额、temu stores、Temu store query 时触发。即使用户未提及工具名，只要在 Temu 上找店铺、筛店铺数据或分析店铺表现，也应触发此技能。\n---\n\n# Temu 店铺查询\n\n在具备 LinkFox「第三方数据服务」MCP 时，对应网关路由 **`ehunt/temu/storeQuery`** 调用（MCP 展示名：**Temu 店铺查询**，确切工具名以当前环境下发的工具元数据为准）。鉴权与上游路由由网关处理；若响应含根级 `code` 字段，是否成功以实网为准。\n\n## 要点\n\n- **分页**：`page` 从 1 起；`pageSize` 默认 20、最大 100。\n- **区间入参**：`*Min` / `*Max` 成对出现（总/周/月销量、总/周/月销售额、评分、评论、粉丝、商品数），组成上游区间。\n- **站点**：`siteId` 国家站点 ID，多个逗号分隔（如 `211`=美国、`76`=英国）。\n- **类目**：`category` 后台类目 ID，多个逗号分隔。\n- **托管模式**：`isLocal`（0=全托管，1=半托管，字符串）。\n- **开店时间**：`listedTimeBegin` / `listedTimeEnd`（YYYY-MM-DD）。\n- **排序**：`sortBy` 为「字段-方向」字符串，如 `order_week_count-0`（周销量降序，默认）、`order_count-0`、`total_revenue-0`、`rating-0`。\n\n## 脚本（可选）\n\n命令行调试：`python scripts/temu_store_query.py '<JSON>'`（需 `LINKFOXAGENT_API_KEY`）。详见 [references/api.md](references/api.md) 末尾。\n\n## 参考\n\n入参/出参表见 [references/api.md](references/api.md)。\n\nFile v1.0.6:_meta.json\n\n{\n  \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n  \"slug\": \"linkfox-temu-store-query\",\n  \"version\": \"1.0.6\",\n  \"publishedAt\": 1783662058500\n}\n\nFile v1.0.6:references/api.md\n\n# Temu 店铺查询 API 参考\n\n## 调用说明\n\n- **网关路由**：`POST ehunt/temu/storeQuery`（完整：`${LINKFOX_TOOL_GATEWAY}/ehunt/temu/storeQuery`）。\n- **MCP 展示名**：Temu 店铺查询（确切工具名以当前环境下发的工具元数据为准）。\n- **鉴权**：请求头 `Authorization: <api_key>`，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取。\n- **说明**：参数与返回结构以当前网关返回为准；若上游返回 JSON 根级 `code` 字段，成功值（`200`）以实网为准。无数据时网关可能抛错。\n\n## 请求参数（JSON）\n\n| 参数 | 类型 | 必填 | 说明 |\n|------|------|------|------|\n| searchKey | string, maxLen=500 | 否 | 店铺名称或 ID 关键词 |\n| siteId | string | 否 | 国家站点 ID，多个逗号分隔（如 211=美国，76=英国） |\n| category | string | 否 | 后台类目 ID，多个逗号分隔 |\n| isLocal | string | 否 | 是否半托管：0=全托管，1=半托管 |\n| orderTotalMin | integer，≥0 | 否 | 总销量区间（起始） |\n| orderTotalMax | integer，≥0 | 否 | 总销量区间（结束） |\n| orderWeekMin | integer，≥0 | 否 | 周销量区间（起始） |\n| orderWeekMax | integer，≥0 | 否 | 周销量区间（结束） |\n| orderMonthMin | integer，≥0 | 否 | 月销量区间（起始） |\n| orderMonthMax | integer，≥0 | 否 | 月销量区间（结束） |\n| totalRevenueMin | number，≥0 | 否 | 总销售额区间（USD，起始） |\n| totalRevenueMax | number，≥0 | 否 | 总销售额区间（USD，结束） |\n| weekRevenueMin | number，≥0 | 否 | 周销售额区间（USD，起始） |\n| weekRevenueMax | number，≥0 | 否 | 周销售额区间（USD，结束） |\n| monthRevenueMin | number，≥0 | 否 | 月销售额区间（USD，起始） |\n| monthRevenueMax | number，≥0 | 否 | 月销售额区间（USD，结束） |\n| ratingMin | number (0~5) | 否 | 评分区间（起始） |\n| ratingMax | number (0~5) | 否 | 评分区间（结束） |\n| reviewNumMin | integer，≥0 | 否 | 评论数区间（起始） |\n| reviewNumMax | integer，≥0 | 否 | 评论数区间（结束） |\n| followerNumMin | integer，≥0 | 否 | 粉丝数区间（起始） |\n| followerNumMax | integer，≥0 | 否 | 粉丝数区间（结束） |\n| productNumMin | integer，≥0 | 否 | 商品数区间（起始） |\n| productNumMax | integer，≥0 | 否 | 商品数区间（结束） |\n| listedTimeBegin | string (YYYY-MM-DD) | 否 | 开店日期区间（起始） |\n| listedTimeEnd | string (YYYY-MM-DD) | 否 | 开店日期区间（结束） |\n| sortBy | string | 否 | 排序字段+方向：`order_week_count-0`（周销量降序，默认）、`order_count-0`、`total_revenue-0`、`rating-0` |\n| page | integer，≥1，默认 1 | 否 | 页码（从 1 开始） |\n| pageSize | integer，1~100，默认 20 | 否 | 每页条数，最大 100 |\n\n## 响应主要字段\n\n| 字段 | 类型 | 说明 |\n|------|------|------|\n| total | integer | 本页返回条数 |\n| storeNum | integer | 符合条件的店铺总数（上游 `store_num`） |\n| stores | array | Temu 店铺列表 |\n| columns | array | 渲染的列 |\n| title | string | 标题（`Temu 店铺查询`） |\n| sourceType | string | 来源类型：temu |\n| sourceTool | string | 工具类型：ehunt |\n| type | string | 渲染的样式：tableListWorkbenches |\n\n### `stores[]` 元素\n\n| 字段 | 上游别名 | 说明 |\n|------|----------|------|\n| storeId | `store_id` | 店铺 ID |\n| siteId | `site_id` | 国家站点 ID |\n| storeName | `store_name` | 店铺名称 |\n| logoUrl | `logo_url` | 店铺 Logo URL |\n| orderTotal | `order_total` | 总销量 |\n| orderWeek | `order_week` | 周销量 |\n| orderMonth | `order_month` | 月销量 |\n| totalRevenue | `total_revenue` | 总销售额 |\n| weekRevenue | `week_revenue` | 周销售额 |\n| monthRevenue | `month_revenue` | 月销售额 |\n| rating | - | 评分 |\n| listedTime | `listed_time` | 开店时间 |\n| reviewNum | `review_num` | 评论数 |\n| followerNum | `follower_num` | 粉丝数 |\n| productNum | `product_num` | 商品数 |\n| categoriesCn | `categories_cn` | 中文类目列表 |\n| categories | - | 英文类目列表 |\n| isLocal | `is_local` | 是否半托管：0=全托管，1=半托管 |\n\n## 脚本调试（可选）\n\n仓库内提供 **`scripts/temu_store_query.py`**（Python 3，仅标准库），向 LinkFox 工具网关 POST 与 MCP 入参一致的 JSON。\n\n- **网关**：`https://tool-gateway.linkfox.com`（可用 `LINKFOX_TOOL_GATEWAY_BASE` 覆盖根 URL）\n- **默认路径段**：`ehunt/temu/storeQuery`（可用 `LINKFOX_EHUNT_TEMU_STORE_QUERY_PATH` 覆盖，不含域名）\n- **鉴权**：环境变量 `LINKFOXAGENT_API_KEY`（与其他 `linkfox-*` skill 相同；申请见 https://skill.linkfox.com/linkfoxskills/guide.htm ）\n\n```bash\nexport LINKFOXAGENT_API_KEY=\"<your-key>\"\npython scripts/temu_store_query.py '{\"searchKey\": \"home\", \"siteId\": \"211\", \"page\": 1, \"pageSize\": 20}'\n```\n\n若返回 404，说明部署上该工具的 HTTP 路径与默认不一致，请用 `listEnabledTool` 或运维确认实际 path 后设置 `LINKFOX_EHUNT_TEMU_STORE_QUERY_PATH`。\n\n## Feedback API\n\n> 与上方工具网关 API 独立，勿混用 Base URL。\n\n- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`\n- **Content-Type:** `application/json`\n\n```json\n{\n  \"skillName\": \"linkfox-temu-store-query\",\n  \"sentiment\": \"POSITIVE\",\n  \"category\": \"OTHER\",\n  \"content\": \"Results were accurate, user was satisfied.\"\n}\n```\n\n**Field rules:**\n- `skillName`: 使用本 skill YAML frontmatter 中的 `name`\n- `sentiment`: `POSITIVE` / `NEUTRAL` / `NEGATIVE`\n- `category`: `BUG` / `COMPLAINT` / `SUGGESTION` / `OTHER`\n- `content`: 简述用户意图、实际结果与问题或好评原因\n\nFile v1.0.6:skill-card.md\n\n## Description: <br>\nHelps agents query and filter Temu stores across dimensions such as store name or ID, country site, category, fulfillment mode, sales volume, revenue, ratings, reviews, followers, product count, and listing date. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[linkfox-ai](https://clawhub.ai/user/linkfox-ai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users, developers, and commerce analysts use this skill to find, rank, and inspect Temu stores by business and catalog signals. It can support store discovery, sales-performance analysis, and targeted filtering through the LinkFox Temu store-query gateway. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Complete Temu store API responses may be persisted locally, potentially including full returned business data. <br>\nMitigation: Use the skill in a private workspace, review generated local files, and avoid running it on sensitive queries unless local persistence is acceptable. <br>\nRisk: The server security summary reports a storage-scope mismatch. <br>\nMitigation: Review the local response persistence behavior before installation and limit execution to explicit Temu store-query tasks. <br>\n\n\n## Reference(s): <br>\n- [Temu Store Query API Reference](references/api.md) <br>\n- [ClawHub Skill Page](https://clawhub.ai/linkfox-ai/skills/linkfox-temu-store-query) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, JSON, shell commands, configuration] <br>\n**Output Format:** [Markdown or plain text guidance with JSON API parameters, optional shell commands, and returned Temu store data.] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May save complete API responses to local JSON files and summarize large responses instead of printing them in full.] <br>\n\n## Skill Version(s): <br>\n1.0.6 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\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. <br>\n\nArchive v1.0.5: 5 files, 10338 bytes\n\nFiles: references/api.md (5782b), scripts/temu_store_query.py (12740b), skill-card.md (2577b), SKILL.md (1858b), _meta.json (143b)\n\nFile v1.0.5:SKILL.md\n\n---\nname: linkfox-temu-store-query\ndescription: 按多维度筛选 Temu 店铺（店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等）。当用户提到 Temu 店铺、Temu 店铺分析、Temu seller、Temu 店铺排行、Temu 半托管店铺、Temu 销售额、temu stores、Temu store query 时触发。即使用户未提及工具名，只要在 Temu 上找店铺、筛店铺数据或分析店铺表现，也应触发此技能。\n---\n\n# Temu 店铺查询\n\n在具备 LinkFox「第三方数据服务」MCP 时，对应网关路由 **`ehunt/temu/storeQuery`** 调用（MCP 展示名：**Temu 店铺查询**，确切工具名以当前环境下发的工具元数据为准）。鉴权与上游路由由网关处理；若响应含根级 `code` 字段，是否成功以实网为准。\n\n## 要点\n\n- **分页**：`page` 从 1 起；`pageSize` 默认 20、最大 100。\n- **区间入参**：`*Min` / `*Max` 成对出现（总/周/月销量、总/周/月销售额、评分、评论、粉丝、商品数），组成上游区间。\n- **站点**：`siteId` 国家站点 ID，多个逗号分隔（如 `211`=美国、`76`=英国）。\n- **类目**：`category` 后台类目 ID，多个逗号分隔。\n- **托管模式**：`isLocal`（0=全托管，1=半托管，字符串）。\n- **开店时间**：`listedTimeBegin` / `listedTimeEnd`（YYYY-MM-DD）。\n- **排序**：`sortBy` 为「字段-方向」字符串，如 `order_week_count-0`（周销量降序，默认）、`order_count-0`、`total_revenue-0`、`rating-0`。\n\n## 脚本（可选）\n\n命令行调试：`python scripts/temu_store_query.py '<JSON>'`（需 `LINKFOXAGENT_API_KEY`）。详见 [references/api.md](references/api.md) 末尾。\n\n## 参考\n\n入参/出参表见 [references/api.md](references/api.md)。\n\nFile v1.0.5:_meta.json\n\n{\n  \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n  \"slug\": \"linkfox-temu-store-query\",\n  \"version\": \"1.0.5\",\n  \"publishedAt\": 1783575926243\n}\n\nFile v1.0.5:references/api.md\n\n# Temu 店铺查询 API 参考\n\n## 调用说明\n\n- **网关路由**：`POST ehunt/temu/storeQuery`（完整：`${LINKFOX_TOOL_GATEWAY}/ehunt/temu/storeQuery`）。\n- **MCP 展示名**：Temu 店铺查询（确切工具名以当前环境下发的工具元数据为准）。\n- **鉴权**：请求头 `Authorization: <api_key>`，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取。\n- **说明**：参数与返回结构以当前网关返回为准；若上游返回 JSON 根级 `code` 字段，成功值（`200`）以实网为准。无数据时网关可能抛错。\n\n## 请求参数（JSON）\n\n| 参数 | 类型 | 必填 | 说明 |\n|------|------|------|------|\n| searchKey | string, maxLen=500 | 否 | 店铺名称或 ID 关键词 |\n| siteId | string | 否 | 国家站点 ID，多个逗号分隔（如 211=美国，76=英国） |\n| category | string | 否 | 后台类目 ID，多个逗号分隔 |\n| isLocal | string | 否 | 是否半托管：0=全托管，1=半托管 |\n| orderTotalMin | integer，≥0 | 否 | 总销量区间（起始） |\n| orderTotalMax | integer，≥0 | 否 | 总销量区间（结束） |\n| orderWeekMin | integer，≥0 | 否 | 周销量区间（起始） |\n| orderWeekMax | integer，≥0 | 否 | 周销量区间（结束） |\n| orderMonthMin | integer，≥0 | 否 | 月销量区间（起始） |\n| orderMonthMax | integer，≥0 | 否 | 月销量区间（结束） |\n| totalRevenueMin | number，≥0 | 否 | 总销售额区间（USD，起始） |\n| totalRevenueMax | number，≥0 | 否 | 总销售额区间（USD，结束） |\n| weekRevenueMin | number，≥0 | 否 | 周销售额区间（USD，起始） |\n| weekRevenueMax | number，≥0 | 否 | 周销售额区间（USD，结束） |\n| monthRevenueMin | number，≥0 | 否 | 月销售额区间（USD，起始） |\n| monthRevenueMax | number，≥0 | 否 | 月销售额区间（USD，结束） |\n| ratingMin | number (0~5) | 否 | 评分区间（起始） |\n| ratingMax | number (0~5) | 否 | 评分区间（结束） |\n| reviewNumMin | integer，≥0 | 否 | 评论数区间（起始） |\n| reviewNumMax | integer，≥0 | 否 | 评论数区间（结束） |\n| followerNumMin | integer，≥0 | 否 | 粉丝数区间（起始） |\n| followerNumMax | integer，≥0 | 否 | 粉丝数区间（结束） |\n| productNumMin | integer，≥0 | 否 | 商品数区间（起始） |\n| productNumMax | integer，≥0 | 否 | 商品数区间（结束） |\n| listedTimeBegin | string (YYYY-MM-DD) | 否 | 开店日期区间（起始） |\n| listedTimeEnd | string (YYYY-MM-DD) | 否 | 开店日期区间（结束） |\n| sortBy | string | 否 | 排序字段+方向：`order_week_count-0`（周销量降序，默认）、`order_count-0`、`total_revenue-0`、`rating-0` |\n| page | integer，≥1，默认 1 | 否 | 页码（从 1 开始） |\n| pageSize | integer，1~100，默认 20 | 否 | 每页条数，最大 100 |\n\n## 响应主要字段\n\n| 字段 | 类型 | 说明 |\n|------|------|------|\n| total | integer | 本页返回条数 |\n| storeNum | integer | 符合条件的店铺总数（上游 `store_num`） |\n| stores | array | Temu 店铺列表 |\n| columns | array | 渲染的列 |\n| title | string | 标题（`Temu 店铺查询`） |\n| sourceType | string | 来源类型：temu |\n| sourceTool | string | 工具类型：ehunt |\n| type | string | 渲染的样式：tableListWorkbenches |\n\n### `stores[]` 元素\n\n| 字段 | 上游别名 | 说明 |\n|------|----------|------|\n| storeId | `store_id` | 店铺 ID |\n| siteId | `site_id` | 国家站点 ID |\n| storeName | `store_name` | 店铺名称 |\n| logoUrl | `logo_url` | 店铺 Logo URL |\n| orderTotal | `order_total` | 总销量 |\n| orderWeek | `order_week` | 周销量 |\n| orderMonth | `order_month` | 月销量 |\n| totalRevenue | `total_revenue` | 总销售额 |\n| weekRevenue | `week_revenue` | 周销售额 |\n| monthRevenue | `month_revenue` | 月销售额 |\n| rating | - | 评分 |\n| listedTime | `listed_time` | 开店时间 |\n| reviewNum | `review_num` | 评论数 |\n| followerNum | `follower_num` | 粉丝数 |\n| productNum | `product_num` | 商品数 |\n| categoriesCn | `categories_cn` | 中文类目列表 |\n| categories | - | 英文类目列表 |\n| isLocal | `is_local` | 是否半托管：0=全托管，1=半托管 |\n\n## 脚本调试（可选）\n\n仓库内提供 **`scripts/temu_store_query.py`**（Python 3，仅标准库），向 LinkFox 工具网关 POST 与 MCP 入参一致的 JSON。\n\n- **网关**：`https://tool-gateway.linkfox.com`（可用 `LINKFOX_TOOL_GATEWAY_BASE` 覆盖根 URL）\n- **默认路径段**：`ehunt/temu/storeQuery`（可用 `LINKFOX_EHUNT_TEMU_STORE_QUERY_PATH` 覆盖，不含域名）\n- **鉴权**：环境变量 `LINKFOXAGENT_API_KEY`（与其他 `linkfox-*` skill 相同；申请见 https://skill.linkfox.com/linkfoxskills/guide.htm ）\n\n```bash\nexport LINKFOXAGENT_API_KEY=\"<your-key>\"\npython scripts/temu_store_query.py '{\"searchKey\": \"home\", \"siteId\": \"211\", \"page\": 1, \"pageSize\": 20}'\n```\n\n若返回 404，说明部署上该工具的 HTTP 路径与默认不一致，请用 `listEnabledTool` 或运维确认实际 path 后设置 `LINKFOX_EHUNT_TEMU_STORE_QUERY_PATH`。\n\n## Feedback API\n\n> 与上方工具网关 API 独立，勿混用 Base URL。\n\n- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`\n- **Content-Type:** `application/json`\n\n```json\n{\n  \"skillName\": \"linkfox-temu-store-query\",\n  \"sentiment\": \"POSITIVE\",\n  \"category\": \"OTHER\",\n  \"content\": \"Results were accurate, user was satisfied.\"\n}\n```\n\n**Field rules:**\n- `skillName`: 使用本 skill YAML frontmatter 中的 `name`\n- `sentiment`: `POSITIVE` / `NEUTRAL` / `NEGATIVE`\n- `category`: `BUG` / `COMPLAINT` / `SUGGESTION` / `OTHER`\n- `content`: 简述用户意图、实际结果与问题或好评原因\n\nFile v1.0.5:skill-card.md\n\n## Description: <br>\nTemu店铺查询 helps agents filter and analyze Temu stores by store name or ID, country site, category, management mode, sales, revenue, ratings, reviews, followers, product count, and listing date. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[linkfox-ai](https://clawhub.ai/user/linkfox-ai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nE-commerce operators, marketplace analysts, and agents use this skill to query Temu store data through LinkFox and compare stores by sales, revenue, engagement, catalog, site, and opening-date filters. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Temu store queries and the LinkFox API key are sent to LinkFox's gateway. <br>\nMitigation: Install only when users accept that data flow and configure the API key in an appropriate environment. <br>\nRisk: Full response data and cache files may be written locally under linkfox directories. <br>\nMitigation: Review or clean generated response and cache files when query results are sensitive. <br>\nRisk: The artifact documents a separate feedback endpoint that can include user intent and result details. <br>\nMitigation: Use the feedback endpoint only with explicit user consent and keep it separate from normal store lookup requests. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/linkfox-ai/skills/linkfox-temu-store-query) <br>\n- [Publisher profile](https://clawhub.ai/user/linkfox-ai) <br>\n- [Temu store query API reference](references/api.md) <br>\n- [LinkFox tool gateway](https://tool-gateway.linkfox.com) <br>\n- [LinkFox API key guide](https://skill.linkfox.com/linkfoxskills/guide.htm) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [API Calls, JSON, Shell commands, Files, Guidance] <br>\n**Output Format:** [Markdown guidance with JSON request parameters, command-line examples, and structured JSON or summarized table-style results] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [The optional script posts requests to LinkFox, caches responses for 24 hours, and writes full response JSON files under a local linkfox directory.] <br>\n\n## Skill Version(s): <br>\n1.0.5 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\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. <br>\n\nArchive v1.0.4: 5 files, 10330 bytes\n\nFiles: references/api.md (5782b), scripts/temu_store_query.py (12785b), skill-card.md (2426b), SKILL.md (1953b), _meta.json (143b)\n\nFile v1.0.4:SKILL.md\n\n---\nname: linkfox-temu-store-query\ndescription: 通过 Temu 店铺查询（网关路由 `ehunt/temu/storeQuery`）按多维度筛选 Temu 店铺（店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等）。当用户提到 Temu 店铺、Temu 店铺分析、Temu seller、Temu 店铺排行、Temu 半托管店铺、Temu 销售额、temu stores、Temu store query 时触发。即使用户未提及工具名，只要在 Temu 上找店铺、筛店铺数据或分析店铺表现，也应触发此技能。\n---\n\n# Temu 店铺查询（`ehunt/temu/storeQuery`）\n\n在具备 LinkFox「第三方数据服务」MCP 时，对应网关路由 **`ehunt/temu/storeQuery`** 调用（MCP 展示名：**Temu 店铺查询**，确切工具名以当前环境下发的工具元数据为准）。鉴权与上游路由由网关处理；若响应含根级 `code` 字段，是否成功以实网为准。\n\n## 要点\n\n- **分页**：`page` 从 1 起；`pageSize` 默认 20、最大 100。\n- **区间入参**：`*Min` / `*Max` 成对出现（总/周/月销量、总/周/月销售额、评分、评论、粉丝、商品数），组成上游区间。\n- **站点**：`siteId` 国家站点 ID，多个逗号分隔（如 `211`=美国、`76`=英国）。\n- **类目**：`category` 后台类目 ID，多个逗号分隔。\n- **托管模式**：`isLocal`（0=全托管，1=半托管，字符串）。\n- **开店时间**：`listedTimeBegin` / `listedTimeEnd`（YYYY-MM-DD）。\n- **排序**：`sortBy` 为「字段-方向」字符串，如 `order_week_count-0`（周销量降序，默认）、`order_count-0`、`total_revenue-0`、`rating-0`。\n\n## 脚本（可选）\n\n命令行调试：`python scripts/temu_store_query.py '<JSON>'`（需 `LINKFOXAGENT_API_KEY`）。详见 [references/api.md](references/api.md) 末尾。\n\n## 参考\n\n入参/出参表见 [references/api.md](references/api.md)。\n\nFile v1.0.4:_meta.json\n\n{\n  \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n  \"slug\": \"linkfox-temu-store-query\",\n  \"version\": \"1.0.4\",\n  \"publishedAt\": 1783574430873\n}\n\nFile v1.0.4:references/api.md\n\n# Temu 店铺查询 API 参考\n\n## 调用说明\n\n- **网关路由**：`POST ehunt/temu/storeQuery`（完整：`${LINKFOX_TOOL_GATEWAY}/ehunt/temu/storeQuery`）。\n- **MCP 展示名**：Temu 店铺查询（确切工具名以当前环境下发的工具元数据为准）。\n- **鉴权**：请求头 `Authorization: <api_key>`，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取。\n- **说明**：参数与返回结构以当前网关返回为准；若上游返回 JSON 根级 `code` 字段，成功值（`200`）以实网为准。无数据时网关可能抛错。\n\n## 请求参数（JSON）\n\n| 参数 | 类型 | 必填 | 说明 |\n|------|------|------|------|\n| searchKey | string, maxLen=500 | 否 | 店铺名称或 ID 关键词 |\n| siteId | string | 否 | 国家站点 ID，多个逗号分隔（如 211=美国，76=英国） |\n| category | string | 否 | 后台类目 ID，多个逗号分隔 |\n| isLocal | string | 否 | 是否半托管：0=全托管，1=半托管 |\n| orderTotalMin | integer，≥0 | 否 | 总销量区间（起始） |\n| orderTotalMax | integer，≥0 | 否 | 总销量区间（结束） |\n| orderWeekMin | integer，≥0 | 否 | 周销量区间（起始） |\n| orderWeekMax | integer，≥0 | 否 | 周销量区间（结束） |\n| orderMonthMin | integer，≥0 | 否 | 月销量区间（起始） |\n| orderMonthMax | integer，≥0 | 否 | 月销量区间（结束） |\n| totalRevenueMin | number，≥0 | 否 | 总销售额区间（USD，起始） |\n| totalRevenueMax | number，≥0 | 否 | 总销售额区间（USD，结束） |\n| weekRevenueMin | number，≥0 | 否 | 周销售额区间（USD，起始） |\n| weekRevenueMax | number，≥0 | 否 | 周销售额区间（USD，结束） |\n| monthRevenueMin | number，≥0 | 否 | 月销售额区间（USD，起始） |\n| monthRevenueMax | number，≥0 | 否 | 月销售额区间（USD，结束） |\n| ratingMin | number (0~5) | 否 | 评分区间（起始） |\n| ratingMax | number (0~5) | 否 | 评分区间（结束） |\n| reviewNumMin | integer，≥0 | 否 | 评论数区间（起始） |\n| reviewNumMax | integer，≥0 | 否 | 评论数区间（结束） |\n| followerNumMin | integer，≥0 | 否 | 粉丝数区间（起始） |\n| followerNumMax | integer，≥0 | 否 | 粉丝数区间（结束） |\n| productNumMin | integer，≥0 | 否 | 商品数区间（起始） |\n| productNumMax | integer，≥0 | 否 | 商品数区间（结束） |\n| listedTimeBegin | string (YYYY-MM-DD) | 否 | 开店日期区间（起始） |\n| listedTimeEnd | string (YYYY-MM-DD) | 否 | 开店日期区间（结束） |\n| sortBy | string | 否 | 排序字段+方向：`order_week_count-0`（周销量降序，默认）、`order_count-0`、`total_revenue-0`、`rating-0` |\n| page | integer，≥1，默认 1 | 否 | 页码（从 1 开始） |\n| pageSize | integer，1~100，默认 20 | 否 | 每页条数，最大 100 |\n\n## 响应主要字段\n\n| 字段 | 类型 | 说明 |\n|------|------|------|\n| total | integer | 本页返回条数 |\n| storeNum | integer | 符合条件的店铺总数（上游 `store_num`） |\n| stores | array | Temu 店铺列表 |\n| columns | array | 渲染的列 |\n| title | string | 标题（`Temu 店铺查询`） |\n| sourceType | string | 来源类型：temu |\n| sourceTool | string | 工具类型：ehunt |\n| type | string | 渲染的样式：tableListWorkbenches |\n\n### `stores[]` 元素\n\n| 字段 | 上游别名 | 说明 |\n|------|----------|------|\n| storeId | `store_id` | 店铺 ID |\n| siteId | `site_id` | 国家站点 ID |\n| storeName | `store_name` | 店铺名称 |\n| logoUrl | `logo_url` | 店铺 Logo URL |\n| orderTotal | `order_total` | 总销量 |\n| orderWeek | `order_week` | 周销量 |\n| orderMonth | `order_month` | 月销量 |\n| totalRevenue | `total_revenue` | 总销售额 |\n| weekRevenue | `week_revenue` | 周销售额 |\n| monthRevenue | `month_revenue` | 月销售额 |\n| rating | - | 评分 |\n| listedTime | `listed_time` | 开店时间 |\n| reviewNum | `review_num` | 评论数 |\n| followerNum | `follower_num` | 粉丝数 |\n| productNum | `product_num` | 商品数 |\n| categoriesCn | `categories_cn` | 中文类目列表 |\n| categories | - | 英文类目列表 |\n| isLocal | `is_local` | 是否半托管：0=全托管，1=半托管 |\n\n## 脚本调试（可选）\n\n仓库内提供 **`scripts/temu_store_query.py`**（Python 3，仅标准库），向 LinkFox 工具网关 POST 与 MCP 入参一致的 JSON。\n\n- **网关**：`https://tool-gateway.linkfox.com`（可用 `LINKFOX_TOOL_GATEWAY_BASE` 覆盖根 URL）\n- **默认路径段**：`ehunt/temu/storeQuery`（可用 `LINKFOX_EHUNT_TEMU_STORE_QUERY_PATH` 覆盖，不含域名）\n- **鉴权**：环境变量 `LINKFOXAGENT_API_KEY`（与其他 `linkfox-*` skill 相同；申请见 https://skill.linkfox.com/linkfoxskills/guide.htm ）\n\n```bash\nexport LINKFOXAGENT_API_KEY=\"<your-key>\"\npython scripts/temu_store_query.py '{\"searchKey\": \"home\", \"siteId\": \"211\", \"page\": 1, \"pageSize\": 20}'\n```\n\n若返回 404，说明部署上该工具的 HTTP 路径与默认不一致，请用 `listEnabledTool` 或运维确认实际 path 后设置 `LINKFOX_EHUNT_TEMU_STORE_QUERY_PATH`。\n\n## Feedback API\n\n> 与上方工具网关 API 独立，勿混用 Base URL。\n\n- **POST** `https://skill-api.linkfox.com/api/v1/public/feedback`\n- **Content-Type:** `application/json`\n\n```json\n{\n  \"skillName\": \"linkfox-temu-store-query\",\n  \"sentiment\": \"POSITIVE\",\n  \"category\": \"OTHER\",\n  \"content\": \"Results were accurate, user was satisfied.\"\n}\n```\n\n**Field rules:**\n- `skillName`: 使用本 skill YAML frontmatter 中的 `name`\n- `sentiment`: `POSITIVE` / `NEUTRAL` / `NEGATIVE`\n- `category`: `BUG` / `COMPLAINT` / `SUGGESTION` / `OTHER`\n- `content`: 简述用户意图、实际结果与问题或好评原因\n\nFile v1.0.4:skill-card.md\n\n## Description: <br>\nQueries and filters Temu store data through LinkFox's third-party data service by store name or ID, site, category, fulfillment mode, sales, revenue, ratings, reviews, followers, product count, opening date, and sort order. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[linkfox-ai](https://clawhub.ai/user/linkfox-ai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal sellers, marketplace analysts, and developers use this skill to find, filter, and compare Temu stores by commercial performance, site, category, fulfillment mode, and store metadata. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The optional helper script can save full Temu query results and session metadata under local linkfox directories, including fallback locations. <br>\nMitigation: Use the script only in workspaces where local result files are acceptable, avoid sensitive seller research unless retention is managed, and delete generated linkfox result and cache files when they are no longer needed. <br>\nRisk: The skill requires a LinkFox API key and sends user-supplied query parameters to the LinkFox tool gateway. <br>\nMitigation: Store the API key only in approved environment variables, avoid sharing command logs that expose credentials or sensitive queries, and review outbound query content before execution. <br>\n\n\n## Reference(s): <br>\n- [Temu Store Query API Reference](references/api.md) <br>\n- [ClawHub Skill Page](https://clawhub.ai/linkfox-ai/skills/linkfox-temu-store-query) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, shell commands, configuration, guidance, JSON, files] <br>\n**Output Format:** [Markdown guidance, shell command examples, JSON API responses, and saved JSON result files] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [The optional helper script saves full API results locally and may print either complete JSON or a compact summary depending on response size.] <br>\n\n## Skill Version(s): <br>\n1.0.4 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\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. <br>","readmeExcerpt":"Skill: Temu店铺查询 Owner: linkfox-ai Summary: 按多维度筛选 Temu 店铺（店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等）。当用户提到 Temu 店铺、Temu 店铺分析、Temu seller、Temu 店铺排行、Temu 半托管店铺、Temu 销售额、temu stores、Temu store query 时触发。即使用户未提及工具名，只要在 Temu 上找店铺、筛店铺数据或分析店铺表现，也应触发此技能。 Tags: latest:1.0.9 Version history: v1.0.9 | 2026-08-14T15:19:58.133Z | user Update from 1.0.8 to 1.0.9 v1.0.8 | 2026-08-07T11:24:18.055Z | user Update from 1.0","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"export LINKFOXAGENT_API_KEY=\"<your-key>\"\npython scripts/temu_store_query.py '{\"searchKey\": \"home\", \"siteId\": \"211\", \"page\": 1, \"pageSize\": 20}'"},{"language":"json","snippet":"{\n  \"skillName\": \"linkfox-temu-store-query\",\n  \"sentiment\": \"POSITIVE\",\n  \"category\": \"OTHER\",\n  \"content\": \"Results were accurate, user was satisfied.\"\n}"},{"language":"bash","snippet":"export LINKFOXAGENT_API_KEY=\"<your-key>\"\npython scripts/temu_store_query.py '{\"searchKey\": \"home\", \"siteId\": \"211\", \"page\": 1, \"pageSize\": 20}'"},{"language":"json","snippet":"{\n  \"skillName\": \"linkfox-temu-store-query\",\n  \"sentiment\": \"POSITIVE\",\n  \"category\": \"OTHER\",\n  \"content\": \"Results were accurate, user was satisfied.\"\n}"},{"language":"bash","snippet":"export LINKFOXAGENT_API_KEY=\"<your-key>\"\npython scripts/temu_store_query.py '{\"searchKey\": \"home\", \"siteId\": \"211\", \"page\": 1, \"pageSize\": 20}'"},{"language":"json","snippet":"{\n  \"skillName\": \"linkfox-temu-store-query\",\n  \"sentiment\": \"POSITIVE\",\n  \"category\": \"OTHER\",\n  \"content\": \"Results were accurate, user was satisfied.\"\n}"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: linkfox-temu-store-query\ndescription: 按多维度筛选 Temu 店铺（店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等）。当用户提到 Temu 店铺、Temu 店铺分析、Temu seller、Temu 店铺排行、Temu 半托管店铺、Temu 销售额、temu stores、Temu store query 时触发。即使用户未提及工具名，只要在 Temu 上找店铺、筛店铺数据或分析店铺表现，也应触发此技能。\n---\n\n# Temu 店铺查询\n\n在具备 LinkFox「第三方数据服务」MCP 时，对应网关路由 **`ehunt/temu/storeQuery`** 调用（MCP 展示名：**Temu 店铺查询**，确切工具名以当前环境下发的工具元数据为准）。鉴权与上游路由由网关处理；若响应含根级 `code` 字段，是否成功以实网为准。\n\n## 要点\n\n- **分页**：`page` 从 1 起；`pageSize` 默认 20、最大 100。\n- **区间入参**：`*Min` / `*Max` 成对出现（总/周/月销量、总/周/月销售额、评分、评论、粉丝、商品数），组成上游区间。\n- **站点**：`siteId` 国家站点 ID，多个逗号分隔（如 `211`=美国、`76`=英国）。\n- **类目**：`category` 后台类目 ID，多个逗号分隔。\n- **托管模式**：`isLocal`（0=全托管，1=半托管，字符串）。\n- **开店时间**：`listedTimeBegin` / `listedTimeEnd`（YYYY-MM-DD）。\n- **排序**：`sortBy` 为「字段-方向」字符串，如 `order_week_count-0`（周销量降序，默认）、`order_count-0`、`total_revenue-0`、`rating-0`。\n\n## 脚本（可选）\n\n命令行调试：`python scripts/temu_store_query.py '<JSON>'`（需 `LINKFOXAGENT_API_KEY`）。详见 [references/api.md](references/api.md) 末尾。\n\n## 参考\n\n入参/出参表见 [references/api.md](references/api.md)。\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## 积分消耗规则\n\n按动态规则计费：消耗积分 = 店铺数量 × 1.8。按本页返回条数计费；翻到下一页，本质上是再发一次请求，再按下一页返回条数重新计算。\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。"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7dmc1t4j28hem1twwyav85p182pb1j\",\n  \"slug\": \"linkfox-temu-store-query\",\n  \"version\": \"1.0.9\",\n  \"publishedAt\": 1786720798133\n}"},{"path":"references/api.md","content":"# Temu 店铺查询 API 参考\n\n## 调用说明\n\n- **网关路由**：`POST ehunt/temu/storeQuery`（完整：`${LINKFOX_TOOL_GATEWAY}/ehunt/temu/storeQuery`）。\n- **MCP 展示名**：Temu 店铺查询（确切工具名以当前环境下发的工具元数据为准）。\n- **鉴权**：请求头 `Authorization: <api_key>`，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）。\n- **说明**：参数与返回结构以当前网关返回为准；若上游返回 JSON 根级 `code` 字段，成功值（`200`）以实网为准。无数据时网关可能抛错。\n\n## 请求参数（JSON）\n\n| 参数 | 类型 | 必填 | 说明 |\n|------|------|------|------|\n| searchKey | string, maxLen=500 | 否 | 店铺名称或 ID 关键词 |\n| siteId | string | 否 | 国家站点 ID，多个逗号分隔（如 211=美国，76=英国） |\n| category | string | 否 | 后台类目 ID，多个逗号分隔 |\n| isLocal | string | 否 | 是否半托管：0=全托管，1=半托管 |\n| orderTotalMin | integer，≥0 | 否 | 总销量区间（起始） |\n| orderTotalMax | integer，≥0 | 否 | 总销量区间（结束） |\n| orderWeekMin | integer，≥0 | 否 | 周销量区间（起始） |\n| orderWeekMax | integer，≥0 | 否 | 周销量区间（结束） |\n| orderMonthMin | integer，≥0 | 否 | 月销量区间（起始） |\n| orderMonthMax | integer，≥0 | 否 | 月销量区间（结束） |\n| totalRevenueMin | number，≥0 | 否 | 总销售额区间（USD，起始） |\n| totalRevenueMax | number，≥0 | 否 | 总销售额区间（USD，结束） |\n| weekRevenueMin | number，≥0 | 否 | 周销售额区间（USD，起始） |\n| weekRevenueMax | number，≥0 | 否 | 周销售额区间（USD，结束） |\n| monthRevenueMin | number，≥0 | 否 | 月销售额区间（USD，起始） |\n| monthRevenueMax | number，≥0 | 否 | 月销售额区间（USD，结束） |\n| ratingMin | number (0~5) | 否 | 评分区间（起始） |\n| ratingMax | number (0~5) | 否 | 评分区间（结束） |\n| reviewNumMin | integer，≥0 | 否 | 评论数区间（起始） |\n| reviewNumMax | integer，≥0 | 否 | 评论数区间（结束） |\n| followerNumMin | integer，≥0 | 否 | 粉丝数区间（起始） |\n| followerNumMax | integer，≥0 | 否 | 粉丝数区间（结束） |\n| productNumMin | integer，≥0 | 否 | 商品数区间（起始） |\n| productNumMax | integer，≥0 | 否 | 商品数区间（结束） |\n| listedTimeBegin | string (YYYY-MM-DD) | 否 | 开店日期区间（起始） |\n| listedTimeEnd | string (YYYY-MM-DD) | 否 | 开店日期区间（结束） |\n| sortBy | string | 否 | 排序字段+方向：`order_week_count-0`（周销量降序，默认）、`order_count-0`、`total_revenue-0`、`rating-0` |\n| page | integer，≥1，默认 1 | 否 | 页码（从 1 开始） |\n| pageSize | integer，1~100，默认 20 | 否 | 每页条数，最大 100 |\n\n## 响应主要字段\n\n| 字段 | 类型 | 说明 |\n|------|------|------|\n| total | integer | 本页返回条数 |\n| storeNum | integer | 符合条件的店铺总数（上游 `store_num`） |\n| stores | array | Temu 店铺列表 |\n| columns | array | 渲染的列 |\n| title | string | 标题（`Temu 店铺查询`） |\n| sourceType | string | 来源类型：temu |\n| sourceTool | string | 工具类型：ehunt |\n| type | string | 渲染的样式：tableListWorkbenches |\n\n### `stores[]` 元素\n\n| 字段 | 上游别名 | 说明 |\n|------|----------|------|\n| storeId | `store_id` | 店铺 ID |\n| siteId | `site_id` | 国家站点 ID |\n| storeName | `store_name` | 店铺名称 |\n| logoUrl | `logo_url` | 店铺 Logo URL |\n| orderTotal | `order_total` | 总销量 |\n| orderWeek | `order_week` | 周销量 |\n| orderMonth | `order_month` | 月销量 |\n| totalRevenue | `total_revenue` | 总销售额 |\n| weekRevenue | `week_revenue` | 周销售额 |\n| monthRevenue | `month_revenue` | 月销售额 |\n| rating | - | 评分 |\n| listedTime | `listed_time` | 开店时间 |\n| reviewNum | `review_num` | 评论数 |\n| followerNum | `follower_num` | 粉丝数 |\n| productNum | `product_num` | 商品数 |\n| categoriesCn | `categories_cn` | 中文类目列表 |\n| categories | - | 英文类目列表 |\n| isLocal | `is_local` "},{"path":"references/onboarding.md","content":"# 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 <phone>` → 展示 JSON 里的 phone/agreements\n   - 收到验证码后：`python scripts/onboarding.py login <phone> <code>`（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 \"<key>\"`\n     - macOS zsh：`echo 'export LINKFOX_AGENT_API_KEY=\"<key>\"' >> ~/.zshrc && source ~/.zshrc`\n     - Linux bash：`echo 'export LINKFOX_AGENT_API_KEY=\"<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 <plan_id> <method>` → 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 <order_id>`，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 and filters Temu store records by store identity, country site, category, fulfillment model, sales, revenue, rating, reviews, followers, product count, and listing date.\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 ecommerce analysts use this skill to find, rank, and compare Temu stores across operational and sales-performance filters. Agents can also guide users through LinkFox API-key setup and billing recovery when authentication or balance errors block a query.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill handles LinkFox API keys, SMS-code login, and payment-order flows.\n\nMitigation: Use LinkFox's official site or an OS credential manager for credentials, avoid entering SMS codes or API keys in logged terminals, and review onboarding prompts before continuing.\n\nRisk: Custom LINKFOX_* endpoint variables could redirect API-key-bearing requests to an untrusted service.\n\nMitigation: Use the default LinkFox endpoints unless the custom endpoint is fully trusted and expected for the deployment.\n\nRisk: Queries consume LinkFox credits dynamically based on the returned store count, and additional pages trigger additional billed requests.\n\nMitigation: Use narrow filters and small page sizes first, show expected billing implications when available, and ask the user before running broad or repeated page queries.\n\nRisk: The query script saves full API responses as local JSON files, which may retain business search results beyond the chat response.\n\nMitigation: Store outputs only in appropriate workspaces and remove saved response files when they are no longer needed.\n\n## Reference(s):\n\n- [Temu Store Query API Reference](references/api.md)\n- [Authentication and Billing Onboarding](references/onboarding.md)\n- [ClawHub Skill Page](https://clawhub.ai/linkfox-ai/skills/linkfox-temu-store-query)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, JSON, files, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown guidance, shell commands, and JSON query results or summaries; full API responses may be written to JSON files.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires a LinkFox API key; pageSize is capped at 100; identical query responses may be cached for 24 hours; large responses are summarized while full responses are saved.]\n\n## Skill Version(s):\n\n1.0.9 (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."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"按多维度筛选 Temu 店铺（店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等）。当用户提到 Temu 店铺、Temu 店铺分析、Temu seller、Temu 店铺排行、Temu 半托管店铺、Temu 销售额、temu stores、Temu store query 时触发。即使用户未提及工具名，只要在 Temu 上找店铺、筛店铺数据或分析店铺表现，也应触发此技能。 Skill: Temu店铺查询 Owner: linkfox-ai Summary: 按多维度筛选 Temu 店铺（店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等）。当用户提到 Temu 店铺、Temu 店铺分析、Temu seller、Temu 店铺排行、Temu 半托管店铺、Temu 销售额、temu stores、Temu store query 时触发。即使用户未提及工具名，只要在 Temu 上找店铺、筛店铺数据或分析店铺表现，也应触发此技能。 Tags: latest:1.0.9 Version history: v1.0.9 | 2026-08-14T15:19:58.133Z | user Update from 1.0.8 to 1.0.9 v1.0.8 | 2026-08-07T11:24:18.055Z | user Update from 1.0","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":1190,"uniquenessScore":52,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-10T16:17:53.819Z","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":"2026-10-10T16:17:53.819Z","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":"2026-10-10T21:51:01.939Z","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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