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linkfox-ai

Ehunt Temu Store Query

by linkfox-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install linkfox-ehunt-temu-store-query
Description
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...
README (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 -->

Usage Guidance
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.
Capability Tags
requires-sensitive-credentials
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install linkfox-ehunt-temu-store-query
  3. After installation, invoke the skill by name or use /linkfox-ehunt-temu-store-query
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug linkfox-ehunt-temu-store-query
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Ehunt Temu Store Query?

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... It is an AI Agent Skill for Claude Code / OpenClaw, with 32 downloads so far.

How do I install Ehunt Temu Store Query?

Run "/install linkfox-ehunt-temu-store-query" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ehunt Temu Store Query free?

Yes, Ehunt Temu Store Query is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Ehunt Temu Store Query support?

Ehunt Temu Store Query is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ehunt Temu Store Query?

It is built and maintained by linkfox-ai (@linkfox-ai); the current version is v1.0.0.

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