Ehunt Temu Category Search
/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 '\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_category_search.py --out-dir \x3CDIR> '\x3Cparams>'
python scripts/response_io.py read \x3Cfile> --fields "\x3Cpaths>" # or --path "\x3CJMESPath>"
Pick
--out-diroutside 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 -->
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install linkfox-ehunt-temu-category-search - 安装完成后,直接呼叫该 Skill 的名称或使用
/linkfox-ehunt-temu-category-search触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Ehunt Temu Category Search 是什么?
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、... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 30 次。
如何安装 Ehunt Temu Category Search?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install linkfox-ehunt-temu-category-search」即可一键安装,无需额外配置。
Ehunt Temu Category Search 是免费的吗?
是的,Ehunt Temu Category Search 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Ehunt Temu Category Search 支持哪些平台?
Ehunt Temu Category Search 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 Category Search?
由 linkfox-ai(@linkfox-ai)开发并维护,当前版本 v1.0.0。