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hanxueyuan

agent-shopping

by hanxueyuan · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
133
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1
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Install in OpenClaw
/install agent-shopping
Description
Agent-powered smart shopping assistant
README (SKILL.md)

🛒 Agent Shopping

Agent-powered smart shopping assistant

What It Does

Search products, compare prices, and purchase items through AI agent conversations. Supports natural language queries like 'find me a USB-C cable under $10' and returns structured product recommendations with buy links.

Usage

When the user mentions buying, purchasing, shopping, or looking for product deals, this skill activates to help find the best options.

Example Prompts

  • "Find me the best deal on [product]"
  • "Compare prices for [product] across platforms"
  • "Is there a coupon for [product]?"
  • "Help me buy [product] under [budget]"

Configuration

Set up API credentials in environment variables as needed for each supported platform.

Architecture

User Request → Intent Parser → Product Search API → Result Ranker → Recommendation Display

Roadmap

  • v0.1: Basic product search via web search
  • v0.2: Platform API integration
  • v0.3: Price tracking and alerts
  • v1.0: Full autonomous purchasing flow

Author

Created by hanxueyuan as part of the Agent Commerce initiative. License: MIT

Usage Guidance
This skill is an instruction-only shopping assistant and currently has no declared required credentials, but its docs ask you to set API keys and its roadmap mentions autonomous purchasing. Before installing or using it: (1) ask the author for a precise list of required environment variables and exactly how they are used; (2) do not provide payment credentials or long-lived platform tokens until you verify the integration and scope; (3) require explicit confirmation from the agent/user before any purchase is initiated, and prefer short-lived or limited-scope API keys; (4) prefer using read-only API keys or affiliate links rather than account-level credentials; and (5) verify the skill's source/homepage and review any code before granting sensitive credentials.
Capability Analysis
Type: OpenClaw Skill Name: agent-shopping Version: 0.1.0 The skill bundle contains only metadata and documentation (SKILL.md) for a shopping assistant. There is no executable code provided, and the instructions for the AI agent are consistent with the stated purpose of searching for products and comparing prices without any signs of prompt injection or malicious intent.
Capability Assessment
Purpose & Capability
Name and description match a shopping assistant; the SKILL.md describes product search, comparison, and eventual purchasing which aligns with the stated purpose. However the roadmap includes autonomous purchasing (v1.0) which raises expectations that credentials/payment methods will be required later even though none are declared now.
Instruction Scope
The runtime instructions are high-level and limited to parsing user intent and returning product recommendations/buy links. They do not instruct reading local files or secrets. However the doc instructs the operator to 'Set up API credentials in environment variables as needed for each supported platform' — this is vague and gives the agent open-ended authority to use unspecified credentials when integrating platform APIs.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is written to disk by the skill bundle itself, which is the lowest install risk.
Credentials
The registry lists no required environment variables, but the SKILL.md tells users to set API credentials in env vars as needed. That mismatch is concerning because it leaves unspecified which credentials the agent may later request (payment services, retailer APIs, account tokens). Requiring unspecified secrets is disproportionate without clearer justification.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. Autonomous invocation is allowed (platform default) but there are no indications the skill changes other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install agent-shopping
  3. After installation, invoke the skill by name or use /agent-shopping
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of agent-shopping: an agent-powered smart shopping assistant. - Search for products, compare prices, and give purchase recommendations using natural language. - Supports example queries like "find me a USB-C cable under $10" and returns structured results with buy links. - Activates when users mention shopping, buying, or searching for deals. - Requires API credentials for supported platforms.
Metadata
Slug agent-shopping
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is agent-shopping?

Agent-powered smart shopping assistant. It is an AI Agent Skill for Claude Code / OpenClaw, with 133 downloads so far.

How do I install agent-shopping?

Run "/install agent-shopping" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is agent-shopping free?

Yes, agent-shopping is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does agent-shopping support?

agent-shopping is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created agent-shopping?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v0.1.0.

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