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Agent Skill · 研究检索

agent-commerce-engine(Agent 商务引擎)

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。

agent-commerce-engine 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 1,155。

总安装 115,504周安装 4,765GitHub Stars 9下载 37,739核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.7.1

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install agent-commerce-engine;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

agent-commerce-engine 怎么安装?

在终端执行 openclaw skills install agent-commerce-engine。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agent-commerce-engine 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

agent-commerce-engine 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

agent-commerce-engine 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

agent-commerce-engine 用的人多吗?

公开数据是累计安装 115,504 次,近一周安装 4,765 次,下载 37,739 次,GitHub 9 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

agent-commerce-engine 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
agent-commerce-engine

Agent 商务引擎 · 本页

115,5049接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

平台分布

OpenClaw

84.41%
按下载量换算31,855

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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