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Ehunt Temu Product Query

作者 linkfox-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install linkfox-ehunt-temu-product-query
功能描述
通过 EHunt Temu 商品查询(网关路由 `ehunt/temu/productQuery`)按多维度筛选 Temu 商品(关键词/商品 ID/店铺 ID、前后台类目、价格、评分、评论、总/周/日销量、上架时间、全托管/半托管、半托管地区、标签等)。当用户提到 EHunt Temu 商品、Temu 选品、拼...
使用说明 (SKILL.md)

EHunt Temu 商品查询(ehunt/temu/productQuery

在具备 LinkFox「第三方数据服务」MCP 时,对应网关路由 ehunt/temu/productQuery 调用(MCP 展示名:Temu 商品查询,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(建议 ≤50)。
  • 区间入参*Begin / *End 成对出现(价格、评分、评论、总/周/日销量、上架时间),组成上游区间。
  • 类目categoryHome 前台类目 ID、categoryBackend 后台类目 ID;可先用 Temu 品类检索拿到 id。
  • 托管模式isLocal(0=全托管,1=半托管);半托管可用 region 限定地区(多个逗号分隔)。
  • 上下架soldOut(0=上架,1=下架)。
  • 标签tags / customTags 多个用逗号分隔。
  • 排序sortBy 为「字段-方向」字符串,如 order_week-0(周销量降序,默认)、price-0order_total-0rating-0

脚本(可选)

命令行调试:python scripts/ehunt_temu_product_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_product_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
Review this before installing if your agent has broad shell access. Use only the intended ehunt_temu_product_query.py script with response_io, keep LINKFOXAGENT_API_KEY in environment or secret storage, avoid sending confidential user text as feedback, and delete persisted response files when finished.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The main script is purpose-aligned: it posts user-provided Temu product query parameters to LinkFox’s EHunt gateway using an environment API key and prints the JSON response.
Instruction Scope
The large-response wrapper is documented for this skill’s query script, but the implementation accepts any --script path and runs it with Python, making the executable surface broader than the stated Temu query purpose.
Install Mechanism
No package install hooks, dependency downloads, startup registration, or hidden install-time execution were found in the artifacts.
Credentials
Use of LINKFOXAGENT_API_KEY and outbound LinkFox API calls is expected for the stated third-party data service, though the documentation could be clearer about secret handling and third-party data sharing.
Persistence & Privilege
The response_io helper writes full API responses to a user-chosen output directory and the SKILL.md warns that files may contain sensitive data, should not be committed, 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-product-query
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /linkfox-ehunt-temu-product-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-product-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 Product Query 是什么?

通过 EHunt Temu 商品查询(网关路由 `ehunt/temu/productQuery`)按多维度筛选 Temu 商品(关键词/商品 ID/店铺 ID、前后台类目、价格、评分、评论、总/周/日销量、上架时间、全托管/半托管、半托管地区、标签等)。当用户提到 EHunt Temu 商品、Temu 选品、拼... 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 Product Query?

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

Ehunt Temu Product Query 是免费的吗?

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

Ehunt Temu Product Query 支持哪些平台?

Ehunt Temu Product 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 Product Query?

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

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