forage-shoppingSearch and compare products across merchants. Find the best deals with price comparison and shopping recommendations.
Install via ClawdBot CLI:
clawdbot install jalexspringer/forage-shoppingGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://forageshopping.comAudited Apr 16, 2026 · audit v1.0
Generated Mar 22, 2026
A user wants to purchase a new laptop within a specific budget. The agent uses search_products to find models matching criteria like 'gaming laptop under £1000', then compare_prices to identify the retailer offering the best value including delivery costs and warranty options.
A user is looking to buy a coffee machine for their home. The agent employs find_deals to locate discounts in the 'coffee machines' category, filters results by a set budget, and presents options with clear price comparisons and merchant reliability details.
A fitness enthusiast seeks running shoes with specific features. The agent uses search_products with a query like 'breathable running shoes for long distance', then compares prices across retailers to recommend the best deal considering return policies and shipping times.
A user needs to find a gift such as noise-cancelling headphones within a tight deadline. The agent searches for products, compares prices to ensure budget compliance, and highlights merchants with fast delivery options and good customer reviews.
The skill generates revenue through affiliate commissions by directing users to merchant websites via product links. It earns a percentage of sales made through these referrals, incentivizing accurate and valuable recommendations to maximize conversion rates.
A freemium model where basic product search and comparison are free, but advanced features like price alerts, historical data, or ad-free experience require a monthly or annual subscription. This provides recurring revenue while catering to power users.
The skill aggregates shopping data across merchants and sells insights or raw data to businesses for market analysis, competitor monitoring, or trend forecasting. This leverages the collected product and pricing information for B2B applications.
💬 Integration Tip
Ensure the MCP server URL is correctly configured in openclaw.json and test tools with sample queries to verify connectivity before deployment.
Scored Jun 19, 2026
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