filtalgo/Filtmall-Shopping-Skill

Agent-native shopping for extreme value: verifiable same-product price evidence, checkout, orders, delivery, and after-sales.

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filtalgo/Filtmall-Shopping-Skill has 950+ stars and 10+ forks on GitHub, is written in JavaScript, and was last pushed on Sep 17, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 49 minutes ago
Added to GitGenius on October 7th, 2026
Created on May 28th, 2026
Open Issues & Pull Requests: 1 (+0)
GitHub issues: Enabled
Number of forks: 11
Total Stargazers: 999 (+0)
Total Subscribers: 8 (+0)

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Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 55 days
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Detailed Description

Filtmall Shopping is an AI agent skill that enables end-to-end shopping workflows including product discovery, price comparison, checkout, order tracking, and after-sales support.

The skill solves the problem of integrating shopping capabilities into AI agent conversations by providing live product data, structured comparison evidence, and transaction handling in a single flow. It works by bundling agent instructions, workflow references, and a CLI runtime that connects to Filtmall's commerce infrastructure. The approach emphasizes verifiable price advantages by showing matching specifications, source platforms, and recorded times alongside price comparisons, allowing agents to justify recommendations with concrete evidence rather than opaque suggestions.

Developers should adopt this skill if they are building AI agents that need shopping functionality and want to offer users access to a curated catalog with transparent pricing. The current focus is beauty and personal care products. The skill suits projects where price comparison and value discovery matter to users, and where maintaining buyer control over authorization and payment is important. The tool handles product discovery, specification comparison, persistent cart management, checkout link generation, order queries, and logistics tracking within a single conversation context. Installation requires Node.js 18 or later and works through folder or ZIP imports in compatible clients.

The project maintains active development with regular updates to both the agent instructions and the underlying commerce integration. The skill receives ongoing refinement to its product discovery algorithms and comparison logic. The team continues to expand workflow coverage, particularly in order management and after-sales operations. Documentation is maintained in multiple languages to support a broader user base.