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scavio-walmart斯卡维奥沃尔玛

Agent Skill

scavio-walmart 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。

总安装

3,992

周安装

168

GitHub Stars

公开资料未说明

下载量

1,398
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:scavio-walmart(斯卡维奥沃尔玛)
来源仓库:https://github.com/scavio-ai/scavio-walmart
安装命令:
openclaw skills install scavio-walmart
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 scavio-walmart

简介

搜索沃尔玛产品并提供送货速度、库存等过滤选项。

  • 返回结构化 JSON,支持邮政编码和店内库存查询。
  • 适合零售分析和供应链管理场景。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 注意数据更新频率和地理区域限制。
  • scavio-walmart 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
scavio-walmart
description
Search Walmart products and look up product details by product ID. Supports delivery speed, ZIP code, and in-store availability filters. Returns structured JSON.
version
2.0.0
tags
walmart, retail, product-search, ecommerce, price-lookup, shopping, agents, langchain, crewai, autogen, structured-data, json, ai-agents
metadata
openclaw
requires
env
primaryEnv
SCAVIO_API_KEY
emoji
\F3EA
homepage
https://scavio.dev/docs

Walmart Product Search via Scavio

Search Walmart products or retrieve full product details by product ID. Returns structured JSON with pricing, ratings, fulfillment, and availability.

When to trigger

Use this skill when the user asks to:

  • Find products on Walmart with price or delivery requirements
  • Check same-day or next-day availability for a product near a ZIP code
  • Look up a specific Walmart product by product ID
  • Compare Walmart prices (pair with scavio-amazon for cross-retailer comparison)
  • Filter products by in-store pickup availability

Setup

Get a free API key at https://scavio.dev (1,000 free credits/month, no card required):

export SCAVIO_API_KEY=sk_live_your_key

Workflow

  1. If the user has a Walmart product ID, call /api/v1/walmart/product directly.
  2. If the user has a keyword, call /api/v1/walmart/search.
  3. If the user asks about delivery speed (e.g. "can I get this today?"), set fulfillment_speed and delivery_zip.
  4. If the user asks about in-store pickup, set fulfillment_type: in_store and store_id if known.
  5. Present results with name, price, rating, fulfillment info, and product URL.

Endpoints

EndpointDescription
POST https://api.scavio.dev/api/v1/walmart/searchKeyword search with filters
POST https://api.scavio.dev/api/v1/walmart/productFull product details by product ID
Authorization: Bearer $SCAVIO_API_KEY

Search Parameters

ParameterTypeDefaultDescription
querystringrequiredSearch query (1-500 chars)
sort_bystringbest_matchbest_match, price_low, price_high, best_seller
start_pageinteger1Starting page
min_priceinteger--Minimum price filter (dollars)
max_priceinteger--Maximum price filter (dollars)
fulfillment_speedstring--today, tomorrow, 2_days, anytime
fulfillment_typestring--in_store for click-and-collect
delivery_zipstring--ZIP code for localized results
store_idstring--Walmart store ID for in-store availability
devicestringdesktopdesktop, mobile, or tablet

Product Detail Parameters

ParameterTypeDefaultDescription
product_idstringrequiredWalmart product ID
delivery_zipstring--ZIP code for localized pricing
store_idstring--Walmart store ID

Examples

import os, requests

BASE = "https://api.scavio.dev"
HEADERS = {"Authorization": f"Bearer {os.environ['SCAVIO_API_KEY']}"}

# Search with delivery filter
results = requests.post(f"{BASE}/api/v1/walmart/search", headers=HEADERS,
    json={"query": "standing desk", "sort_by": "best_seller", "max_price": 300,
          "fulfillment_speed": "tomorrow", "delivery_zip": "10001"}).json()

# Product by ID
product = requests.post(f"{BASE}/api/v1/walmart/product", headers=HEADERS,
    json={"product_id": "123456789", "delivery_zip": "10001"}).json()

Search Response

{
  "data": [
    {
      "name": "Flexispot Standing Desk",
      "product_id": "123456789",
      "url": "https://www.walmart.com/ip/123456789",
      "price": "$249.00",
      "was_price": "$349.99",
      "rating": 4.7,
      "total_reviews": 8230,
      "fulfillment": "Free shipping",
      "in_stock": true,
      "seller": "Walmart.com"
    }
  ],
  "credits_used": 1,
  "credits_remaining": 999
}

Product detail response also includes: description, features, images, categories, availability, fulfillment.

Guardrails

  • Never fabricate product names, prices, product IDs, or availability. Only return data from the API.
  • If the user asks about delivery to a specific location, always pass delivery_zip — availability varies by ZIP.
  • fulfillment_speed: today results are time-sensitive; mention this to the user.
  • Always include the product URL so the user can verify and complete purchase.

Failure handling

  • If no products are returned, relax filters (remove fulfillment_speed or increase max_price) and retry.
  • If the product ID is not found, suggest a keyword search instead.
  • If SCAVIO_API_KEY is not set, prompt the user to export it before continuing.

LangChain

pip install scavio-langchain
from scavio_langchain import ScavioSearchTool
tool = ScavioSearchTool(engine="walmart")

适合场景

01

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

04

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

OpenClaw

72.14%
按下载量换算1,009

安全审计

VirusTotal

通过

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通过

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权限和风险

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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