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agent-commerce-engineAgent 商务引擎

Agent Skill

agent-commerce-engine 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agent-commerce-engine(Agent 商务引擎)
来源仓库:https://github.com/nowloady/agent-commerce-engine
安装命令:
openclaw skills install agent-commerce-engine
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install agent-commerce-engine

简介

agent-commerce-engine 是为自主代理设计的电商操作引擎,支持无头后端对接。

  • 适用于 Agentic Commerce 场景下的商品查询、订单处理等自动化流程。
  • 可适配多种电商平台接口标准。agent-commerce-engine 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 使用前需配置目标电商系统的 API 凭证。
  • 建议先在沙箱环境验证交易链路稳定性。

SKILL.md

name
agent-commerce-engine
version
1.7.1
description
A production-ready universal engine for Agentic Commerce. This tool enables autonomous agents to interact with any compatible headless e-commerce backend through a standardized protocol. It provides out-of-the-box support for discovery, cart operations, and secure user management.
tags
[ecommerce, shopping-agent, commerce-engine, standard-protocol, headless-commerce, agentic-web]
metadata
{"openclaw":{"emoji":"🛒","homepage":"https://github.com/NowLoadY/agent-commerce-engine","source":"https://github.com/NowLoadY/agent-commerce-engine","requires":{"bins":["python3"],"tools":[],"env":[],"optionalEnv":["COMMERCE_URL","COMMERCE_BRAND_ID"],"paths":["~/.openclaw/credentials/agent-commerce-engine/"]},"install":[{"id":"python-deps","kind":"pip","package":"requests","label":"Install Python dependencies"}]}}

Standard Agentic Commerce Engine

The Standard Agentic Commerce Engine is a standard client and protocol guide for connecting agents to compatible e-commerce backends. It gives agents a consistent way to search products, manage carts, access account data, create orders, and hand payment back to the user.

GitHub Repository: https://github.com/NowLoadY/agent-commerce-engine

Quick Start: Backend Integration

The agent-commerce-engine includes a server specification in SERVER_SPEC.md for sites that want to expose a compatible commerce API. By implementing the documented endpoints, an existing storefront can support agent-driven product discovery, cart actions, account flows, and order creation without requiring a custom tool for each brand.

Reference Case: Lafeitu

For a production-grade implementation example using this engine, see the Lafeitu Gourmet Skill. It demonstrates the engine specialized for a real-world artisanal food brand.


🔒 Security & Privacy

To ensure transparency and protect user data, the Standard Agentic Commerce Engine follows these security protocols:

1. Local Credential Persistence

  • Storage Location: ~/.openclaw/credentials/agent-commerce-engine/
  • Mechanism: Account and session Token information is stored locally in JSON format. The credential file is written with 0600 (user-only) permissions.
  • Security Upgrade: Since version 1.4.0, raw passwords are never stored after the initial login. The engine exchanges the password for a signed cryptographic token.
  • Scope: Credentials are stored on the local machine for reuse by the current user environment.
  • Lifecycle: Credentials can be purged at any time by running the logout command.

2. Secure Transmission

  • Token-based Auth: Uses x-api-token headers for authentication. Raw passwords are only transmitted once during the login or register phase to exchange for a token.
  • HTTPS Enforcement: The client rejects non-HTTPS remote endpoints. localhost and 127.0.0.1 remain available for local development.
  • Encrypted Transport: Production traffic is expected to run over HTTPS so tokens are not sent over plain HTTP.

3. Anonymous Tracking (Visitor ID)

  • To support shopping carts for unauthenticated users, a unique, non-identifiable Visitor ID (UUID v4) is generated and stored locally. This ID contains no personal information.

🛠 Tool Priority & Fallback Strategy

To provide the most accurate and efficient experience, follow this priority sequence:

  1. API First (Primary): Always attempt to use the commerce.py script first. It provides structured, high-precision data. Target a store via --store <url> argument.
  2. Stateless Headers: Rely on the engine's built-in header management (x-user-account, x-visitor-id) to maintain session integrity without cookies.
  3. Self-Correction: If the API returns a 404 for a specific slug discovered via browser, prioritize the API's search results as the source of truth for the backend.

🧠 Agent Operational Logic

Follow these logical flows to ensure a high-quality user experience:

1. Product Discovery & Validation

Goal: Ensure the item exists and find the correct specifications before taking action.

  • Action: Always run search or list before adding to cart.
  • Logic: Use the API to discover the correct slug and valid variant specs. Use --page and --limit arguments to safely navigate large catalogs without overwhelming the context limit.
  • Refinement: If multiple results are found, ask the user to specify based on the returned attributes. If totalPages > page in the results, consider fetching the next page or refining the search.

2. Authentication & Profile Flow

Goal: Manage user privacy and session data.

  • Logic: The API is stateless. Actions requiring identity will return 401 Unauthorized if credentials aren't saved.
  • Commands:

1. View profile: python3 scripts/commerce.py get-profile 2. Update details: python3 scripts/commerce.py update-profile --name "Name" --address "..." --phone "..." --email "..."

  • Required Data: Respect the schema of the specific brand's backend.

3. Registration Flow

Goal: Handle new users.

  • Trigger: When the user needs a new account or the backend returns "User Not Found".
  • Instruction: Prefer the built-in send-code and register commands when the backend supports them. If a backend only returns a registration URL, hand the user to that flow.

4. Shopping Cart Management

Goal: Precise modification of the user's shopping session.

  • Logic: The engine supports incrementing quantities or setting absolute values.
  • Commands:

- Add: python3 scripts/commerce.py add-cart <slug> --variant <V> --quantity <Q> - Update: python3 scripts/commerce.py update-cart <slug> --variant <V> --quantity <Q> - Remove: python3 scripts/commerce.py remove-cart <slug> --variant <V> - Clear: python3 scripts/commerce.py clear-cart - Checkout / Create Order (Handoff): python3 scripts/commerce.py create-order --name <NAME> --phone <PHONE> --province <PROVINCE> --city <CITY> --address <ADDRESS>

  • Validation: Variant values must be strictly chosen from the product's available options list.
  • Payment Flow (Crucial): Agents currently cannot directly execute consumer payments (card/mobile wallets) due to a lack of financial authorization. Once an order is generated via create-order, the API typically returns a URL. The Agent MUST hand this URL to the human user to finalize payment.

5. Brand Information & Storytelling

Goal: Access brand identity and support data.

  • Logic: Use the brand-info interface to retrieve narrative content.
  • Tooling:

- python3 scripts/commerce.py brand-story: Get the narrative/mission. - python3 scripts/commerce.py company-info: Get formal details. - python3 scripts/commerce.py contact-info: Get customer support channels.


🚀 Capabilities Summary

  • search / list: Product discovery and inventory scan. Use --page <N> and --limit <N> to safely paginate through large catalogs.
  • get: Deep dive into product specifications, variants, and pricing.
  • promotions: Current business rules, shipping thresholds, and active offers.
  • cart: Complete session summary including VIP discounts and tax/shipping estimates.
  • add-cart / update-cart / remove-cart / clear-cart: Atomic cart control.
  • create-order: Finalize cart into a pending order and secure payment URL for user handoff.
  • get-profile / update-profile: Personalization and fulfillment data.
  • brand-story / company-info / contact-info: Brand context and support.
  • orders: Real-time tracking and purchase history.

💻 CLI Configuration & Examples

# Target a store directly via --store (preferred)
python3 scripts/commerce.py --store https://api.yourbrand.com/v1 list --page 1 --limit 20
python3 scripts/commerce.py --store https://api.yourbrand.com/v1 search "item"
python3 scripts/commerce.py --store https://api.yourbrand.com/v1 add-cart <slug> --variant <variant_id>

# Or use environment variable (deprecated, will be removed in a future version)
export COMMERCE_URL="https://api.yourbrand.com/v1"
python3 scripts/commerce.py list

Credentials are automatically stored per-domain under ~/.openclaw/credentials/agent-commerce-engine/<domain>/.


🤖 Troubleshooting & Debugging

  • AUTH_REQUIRED: Token missing or expired. Run login to obtain a new token.
  • AUTH_INVALID: Wrong credentials. Verify account and password.
  • PRODUCT_NOT_FOUND: Resource not found. Verify slug via search.
  • VARIANT_UNAVAILABLE: The requested variant is invalid or out of stock. Check the instruction field for available alternatives.
  • CART_EMPTY: Attempted checkout with no items. Add items first.
  • Connection Error: Verify the --store URL is correct and the endpoint is reachable.

适合场景

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OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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按下载量换算31,855

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