ClawHub

Ehunt Temu Category Search

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通过 EHunt Temu 品类检索（网关路由 `ehunt/temu/temuCategorySearch`）在已同步到本地库的 EHunt Temu 类目数据中按关键词检索类目中文名、英文名与类目 id，用于商品/店铺筛选的类目 id。当用户提到 EHunt Temu 类目、Temu category id、Temu 类目树、Temu 后台类目、temu 品类、syncTemuCategory（Temu 品类同步）后查类目、Temu category search 时触发。即使用户未写 EHunt，只要在本地已同步的 Temu 类目库里按关键词找类目 id，也应触发此技能。

Install

openclaw skills install linkfox-ehunt-temu-category-search

EHunt Temu 类目检索（ehunt/temu/temuCategorySearch）

在具备 LinkFox「第三方数据服务」MCP 时，对应网关路由 ehunt/temu/temuCategorySearch 调用（MCP 展示名：Temu 品类查询，确切工具名以当前环境下发的工具元数据为准）。数据来自 本地库检索。

前置条件

库内须已有 ehunt/temu/syncTemuCategory（MCP 展示名：Temu 品类同步）写入的全量类目。若无数据或结果为空，应先完成同步再检索。

要点

  • 必填：keyword（子串匹配类目中文名、英文名、类目 id）。
  • 分页：page 从 1 起；pageSize 默认 50、最大 200。
  • 返回的 id / categoryId 可作为 Temu 商品查询的 categoryHome/categoryBackend、店铺查询的 category 等入参的类目标识（与具体工具 schema 一致即可）。

脚本（可选）

命令行调试：python scripts/ehunt_temu_category_search.py '<JSON>'（需 LINKFOXAGENT_API_KEY）。详见 references/api.md 末尾。

参考

入参/出参表见 references/api.md。

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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_category_search.py --out-dir <DIR> '<params>'
python scripts/response_io.py read <file> --fields "<paths>"   # or --path "<JMESPath>"

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.

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