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Ehunt Temu Store Query

作者 linkfox-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install linkfox-ehunt-temu-store-query
功能描述
通过 EHunt 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 EHunt Temu 店铺、Temu 店铺分析、Temu sel...
使用说明 (SKILL.md)

EHunt Temu 店铺查询(ehunt/temu/storeQuery

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。

要点

  • 分页page 从 1 起;pageSize 默认 20、最大 100。
  • 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。
  • 站点siteId 国家站点 ID,多个逗号分隔(如 211=美国、76=英国)。
  • 类目category 后台类目 ID,多个逗号分隔。
  • 托管模式isLocal(0=全托管,1=半托管,字符串)。
  • 开店时间listedTimeBegin / listedTimeEnd(YYYY-MM-DD)。
  • 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-0total_revenue-0rating-0

脚本(可选)

命令行调试:python scripts/ehunt_temu_store_query.py '\x3CJSON>'(需 LINKFOXAGENT_API_KEY)。详见 references/api.md 末尾。

参考

入参/出参表见 references/api.md

\x3C!-- LF_LARGE_RESPONSE_BLOCK -->

Handling Large Responses

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

python scripts/response_io.py run --script scripts/ehunt_temu_store_query.py --out-dir \x3CDIR> '\x3Cparams>'
python scripts/response_io.py read \x3Cfile> --fields "\x3Cpaths>"   # or --path "\x3CJMESPath>"

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

run writes the full response to a file and emits only a schema preview + file path. read projects specific fields, with --limit/--offset for slicing and --format json|jsonl|csv|table for output.

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

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

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

⚠️ The preview is a truncated schema + sample, not the full data. Any field-level decision must read from the persisted file via read. \x3C!-- /LF_LARGE_RESPONSE_BLOCK -->

安全使用建议
Install only if you are comfortable providing a LinkFox API key and sending Temu store search/filter terms to LinkFox/EHunt. Use the large-response helper only with a temporary output directory, review persisted files for sensitive data, and delete them when finished. Do not submit feedback content unless the user has explicitly agreed to share it.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The core capability matches the stated purpose: query Temu store data through the LinkFox gateway using search/filter parameters and an API key.
Instruction Scope
Activation is broad for Temu store-finding or store-analysis requests, but still tied to Temu store data; the separate feedback API is documented but not implemented or instructed as automatic runtime behavior.
Install Mechanism
The package contains markdown documentation and two Python helper scripts, with no installer, dependency installation, autorun hook, or persistence mechanism at install time.
Credentials
The main script requires LINKFOXAGENT_API_KEY and sends request JSON to an external LinkFox gateway, which is expected for this integration and disclosed in the docs.
Persistence & Privilege
The optional response_io helper writes full API stdout to a user-specified directory for large responses; the skill warns that persisted files may contain sensitive data and are not auto-deleted.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install linkfox-ehunt-temu-store-query
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /linkfox-ehunt-temu-store-query 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
Slug linkfox-ehunt-temu-store-query
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Ehunt Temu Store Query 是什么?

通过 EHunt 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 EHunt Temu 店铺、Temu 店铺分析、Temu sel... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 32 次。

如何安装 Ehunt Temu Store Query?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install linkfox-ehunt-temu-store-query」即可一键安装,无需额外配置。

Ehunt Temu Store Query 是免费的吗?

是的,Ehunt Temu Store Query 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ehunt Temu Store Query 支持哪些平台?

Ehunt Temu Store Query 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ehunt Temu Store Query?

由 linkfox-ai(@linkfox-ai)开发并维护,当前版本 v1.0.0。

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