linkfox-geekbi-temu-shop

linkfox-geekbi-temu-shop is a skill for Claude Code, Codex from linkfox-ai/linkfox-skills. It costs 120 tokens per session (2,671 once invoked), scanned A, original, MIT.

A shop-search and comparison tool for Temu, an online marketplace. It uses GeekBI's public marketplace data to find shops and compare store-level measures such as sales, followers, products, and average order value.

In plain words
What is it for?
Use it to discover shops in a marketplace region or category and examine changes in sales, product counts, followers, or other listed store measures.
Why use it?
It avoids gathering competitor shop information by hand from Temu. It also keeps GeekBI-based comparisons separate from ordinary Temu shop searches.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to discover shops in a marketplace region or category and examine changes in sales, product counts, followers, or other listed store measures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/linkfox-ai/linkfox-skills/linkfox-geekbi-temu-shop
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add linkfox-ai/linkfox-skills --skill linkfox-geekbi-temu-shop
Clone the repo
git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for linkfox-geekbi-temu-shop

README.md
[![agentmods](https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-geekbi-temu-shop/github.svg)](https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-geekbi-temu-shop)
Your own site
<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-geekbi-temu-shop"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-geekbi-temu-shop/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for linkfox-geekbi-temu-shop

Your own site · 80×15
<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-geekbi-temu-shop"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-geekbi-temu-shop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,671 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00120 $0.02671
Opus 5.5 $0.00048 $0.01068
Sonnet 5.5 $0.00024 $0.00534
Haiku 4.5 $0.00012 $0.00267

Measured 1mo ago against content hash 72268a212952, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

linkfox-geekbi-temu-shop scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/geekbi_temu_category_list.py, scripts/geekbi_temu_mall_search.py, scripts/geekbi_temu_site_list.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/linkfox-geekbi-temu-shop/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Temu Shop Discovery & Benchmarking

This skill searches public Temu marketplace shops for competitor discovery and store-level benchmarking. Use only the endpoints needed for the user's request, and read references/api.md for the complete request and response contract.

The site-list and category-list endpoints are helper capabilities for shop search. A request solely for site or category metadata must not auto-select this skill. If the user explicitly invokes this skill, or the skill is already active, either helper may be called independently.

Endpoints

/geekbi/temu/mallSearch

Intent Endpoint Script
Discover and benchmark shops /geekbi/temu/mallSearch geekbi_temu_mall_search.py
Request
  • regionId selects the marketplace. Resolve it from a non-null positive sites[].regionId; never substitute siteId.
  • catIds is an integer array of shop category IDs. Populate it only from valid categories[].catId values.
  • Shop search returns paginated items[]. The default marketplace is regionId: 211 (United States), with page: 1 and size: 20.
  • regionId, page, and size select the marketplace and page. size is 1–200 and page * size must not exceed 10,000.
  • keyword matches the shop name. catIds is an integer array, not a comma-separated string.
  • Range filters use paired *Min / *Max fields for mallSold, mallSales, mallStar, reviewNum, goodsNum, followerNum, and avgPrice. Never make a minimum greater than its maximum.
  • mallStarMin/Max must remain within 0–5. hostingMode is 1 (full-managed) or 2 (semi-managed).
  • mallOpenTimeMin/Max use ISO-8601 date-time strings. If both are supplied, both must parse and the minimum must not exceed the maximum.
  • order is asc or desc. Use a sort field only after the API or an established workflow confirms it.
Response
Path Meaning
items[].mallId / items[].mallName Shop identity
items[].mallSold / items[].mallSales Historical cumulative unit sales and revenue
items[].mallStar / items[].reviewNum Shop rating and historical review count
items[].goodsNum / items[].followerNum Active product count and follower count
items[].avgPrice Average order value in the selected site's currency
items[].catIds / items[].catItems Main category IDs and category paths
items[].day* / week* / month* Returned period metrics and growth rates

Read the full file on GitHub · 174 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 174 lines · 120 tokens per session scan A 72268a212952

Subscribe to this mod's changes

linkfox-geekbi-temu-shop is a skill published in the GitHub repository linkfox-ai/linkfox-skills (109 stars, last pushed 2d ago), licensed MIT. It adds 120 tokens to every session and 2,671 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-15.

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