A smart shopping assistant for Temu that detects scams, verifies review authenticity, and optimizes price-to-value ratios.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install temu
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install temu using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Temu Shopping Assistant?
The Temu skill is a specialized agent designed to navigate the complexities of high-volume discount marketplaces. It acts as a shield against deceptive marketing tactics by performing real-time price reality checks and seller scoring. By integrating this into Openclaw Skills, users can automate the vetting process for hundreds of items, ensuring they only purchase high-quality products from reliable sellers. It provides a technical layer of protection by analyzing photo consistency, shipping reality, and material claims to differentiate genuine value from bait-and-switch listings.
Built for developers and power shoppers, this tool transforms raw marketplace data into actionable intelligence. As part of the wider ecosystem of Openclaw Skills, it helps users avoid common pitfalls like inflated 'original prices' and counterfeit goods by cross-referencing data points across multiple global platforms.
Temu Shopping Assistant Use Cases
- Detecting counterfeit brand items and fake 90% off discounts.
- Analyzing buyer reviews to filter out bot-generated 5-star ratings.
- Comparing prices across AliExpress, Amazon, and eBay for the same product.
- Optimizing shipping costs by batching orders and tracking coupon stackability.
- Evaluating seller reliability based on store age, response rates, and photo consistency.
How Temu Shopping Assistant Works
- The agent initiates a Price Reality Check by cross-referencing global marketplaces to identify inflated original prices within the Openclaw Skills ecosystem.
- It performs Review Analysis, prioritizing photo-based feedback and specific measurements over generic text reviews to find high-weight signals.
- Seller Scoring is calculated using store age, historical sales data, and communication responsiveness to mitigate risk.
- Duplicate Detection identifies the same product across multiple sellers to find the absolute lowest unit price and fastest shipping terms.
- The skill flags Scam Red Flags, such as bait-and-switch photos or unrealistic brand pricing, before the user proceeds with a transaction.
Temu Shopping Assistant Setup
To integrate this skill into your local environment, ensure your AI agent has access to the web. Configure the skill by adding it to your workspace using standard Openclaw Skills procedures:
# Install the Temu skill via CLI
openclaw install temu
# Configure price comparison benchmarks
openclaw config temu --compare-to amazon,ebay,aliexpress
Temu Shopping Assistant Data Schema & Taxonomy
| File | Description |
|---|---|
reviews.md |
Aggregated and filtered buyer reviews emphasizing photo feedback and verified measurements. |
pricing.md |
Historical price tracking and cross-platform comparison data versus competitors. |
scams.md |
Log of detected red flags, seller risk scores, and bait-and-switch alerts. |
orders.md |
Optimized shipping schedules and coupon stacking logs for maximum discount efficiency. |
Temu Shopping Assistant Advanced Features
- Multi-agent support for simultaneous cross-platform price scraping within Openclaw Skills.
- Automated dispute documentation including photo logging and 90-day window tracking.
- Threshold-based alerts for lightning deals and complex coupon expiration stacking.
- Customizable material verification hooks for specific categories like electronics or fashion.
- Integration with shipping APIs to provide realistic delivery estimates versus platform claims.
SKILL.md
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