taobao-search

taobao-search is a skill for Claude Code, Codex from OPPO-Mente-Lab/X-OmniClaw. It costs 35 tokens per session (2,867 once invoked), scanned A, original, Apache-2.0.

A tool for searching products on Taobao, Alibaba’s consumer shopping marketplace, by opening its search page in the Taobao app. It supports product, brand, price-limit, comparison, and new-product searches.

In plain words
What is it for?
Use it to find products by keyword or brand, browse new items, compare shopping options, and look for products within a stated budget.
Why use it?
It helps gather product names, prices, shops, and sales details from Taobao search results instead of searching the marketplace manually.

Skill for Claude CodeCodex

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

Good fit Use it to find products by keyword or brand, browse new items, compare shopping options, and look for products within a stated budget.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oppo-mente-lab/x-omniclaw/taobao-search
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 OPPO-Mente-Lab/X-OmniClaw --skill taobao-search
Clone the repo
git clone --depth 1 https://github.com/OPPO-Mente-Lab/X-OmniClaw

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 taobao-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/oppo-mente-lab/x-omniclaw/taobao-search/github.svg)](https://agentmods.dev/skills/oppo-mente-lab/x-omniclaw/taobao-search)
Your own site
<a href="https://agentmods.dev/skills/oppo-mente-lab/x-omniclaw/taobao-search"><img src="https://agentmods.dev/badge/skills/oppo-mente-lab/x-omniclaw/taobao-search/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 taobao-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/oppo-mente-lab/x-omniclaw/taobao-search"><img src="https://agentmods.dev/badge/skills/oppo-mente-lab/x-omniclaw/taobao-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,867 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00035 $0.02867
Opus 5 $0.00017 $0.01434
Sonnet 5 $0.00007 $0.00573
Haiku 4.5 $0.00003 $0.00287

Measured 13d ago against content hash cf5c084887d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

taobao-search 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 13d ago.

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.

app/src/main/assets/skills/taobao-search/SKILL.md · 239 lines

How it starts

The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Taobao Search Tool

通过淘宝 Deep Link 直达搜索页面,浏览商品并为用户提供购物建议。

🎯 When to Use

Use this skill when user asks about:

商品搜索 - "帮我找阿迪达斯今年新款男鞋" ✅ 品牌查找 - "搜一下耐克跑步鞋" ✅ 比价购物 - "淘宝上看看有什么好的蓝牙耳机" ✅ 新品浏览 - "今年有什么新款连衣裙" ✅ 特定条件搜索 - "200元以内的双肩包"

📋 Workflow

标准搜索流程

1. 解析用户意图,提取搜索关键词
2. 通过 device(action="open", uri="taobao://...") 跳转淘宝搜索页
3. 等待淘宝 App 加载搜索结果:device(action="act", kind="wait", timeMs=1500)
4. 拉取页面 UI 树:device(action="snapshot", format="compact")
   —— 这是商品名/价格/店铺/销量等文字信息的**唯一来源**
5. 从 snapshot 返回的 text 节点里逐条提取商品信息(详见 Step 3)
6. 基于提取到的具体商品信息回答用户(200字以内,必须包含真实数字和细节)

⚠️ 绝对禁止: 不要用 read_file 读截图 PNG(如 read_file("/sdcard/.xomniclaw/workspace/screenshots/*.png"))。PNG 是二进制,read_file 会以 UTF-8 解码出大量乱码并撑爆上下文窗口,整个 session 会被 context window exceeds limit 终止。只用 device(action="snapshot") 读页面文字

淘宝搜索 Deep Link 格式:

taobao://s.taobao.com/search?q={关键词}

关键词用 + 连接多个搜索词,示例:

用户意图 搜索关键词 Deep Link
阿迪达斯今年新款男鞋 阿迪达斯+2026+新款+男鞋 taobao://s.taobao.com/search?q=阿迪达斯+2026+新款+男鞋
耐克跑步鞋 耐克+跑步鞋 taobao://s.taobao.com/search?q=耐克+跑步鞋
200元蓝牙耳机 蓝牙耳机 taobao://s.taobao.com/search?q=蓝牙耳机

🚀 X-OmniClaw Implementation

Tool: device (DeviceTool — 统一设备控制工具)

⚠️ 重要: 不要使用 shell am start 命令跳转 Deep Link(会因 SecurityException 权限拒绝),必须使用 device(action="open", uri="...") 通过 X-OmniClaw 应用上下文发起 ACTION_VIEW Intent。

Step 1: Deep Link 跳转淘宝搜索页

// 构造搜索关键词
val keyword = "阿迪达斯+2026+新款+男鞋"
val deepLink = "taobao://s.taobao.com/search?q=$keyword"

// 通过 device tool 的 open action + uri 参数跳转
device(action = "open", uri = deepLink)

Step 2: 等待页面加载并拉取 UI 树

// 等待淘宝 App 启动并加载搜索结果
device(action = "act", kind = "wait", timeMs = 1500)

// 拉取页面 UI 树(含所有可见文本节点) —— 商品信息的唯一来源
device(action = "snapshot", format = "compact")

不要在这一步用 screenshotscreenshot 只用于内部 grounding(定位点击坐标),不会把图像内容送给你。snapshot 才会把页面上每个可见文本节点(含商品名、价格、店铺名)以纯文本方式返回给你。

Read the full file on GitHub · 239 lines

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. 13d ago First seen · 239 lines · 35 tokens per session scan A cf5c084887d7

Subscribe to this mod's changes

taobao-search is a skill published in the GitHub repository OPPO-Mente-Lab/X-OmniClaw (261 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 2,867 once invoked, about $0.0002 per session on Opus 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 2026-08-30.

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