← Back to Skills Marketplace
linkfox-ai

Ehunt Temu Product Query

by linkfox-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
32
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install linkfox-ehunt-temu-product-query
Description
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...
README (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 -->

Usage Guidance
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.
Capability Tags
requires-sensitive-credentials
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install linkfox-ehunt-temu-product-query
  3. After installation, invoke the skill by name or use /linkfox-ehunt-temu-product-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-product-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 Product Query?

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

How do I install Ehunt Temu Product Query?

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

Is Ehunt Temu Product Query free?

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

Which platforms does Ehunt Temu Product Query support?

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

Who created Ehunt Temu Product Query?

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

💬 Comments