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airshelfairshelf 搜索

Agent Skill

airshelf 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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

42,877

周安装

1,823

GitHub Stars

4

下载量

15,022
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:airshelf(airshelf 搜索)
来源仓库:https://github.com/evoleinik/airshelf
安装命令:
openclaw skills install airshelf
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 airshelf

简介

从经过验证的商家搜索、比较和购买产品。返回包含决策包的结构化产品数据(优点、缺点、最佳用途、过敏原、经过验证的定价),而不是原始网络抓取。无需验证码,无需身份验证。 10 个商家的约 980 种产品。当用户想要查找、比较或购买产品时使用。

SKILL.md

name
airshelf
displayName
AirShelf Agentic Commerce Platform
description
Search, compare, and buy products from verified merchants. Returns structured product data with Decision Packs (pros, cons, best_for, allergens, verified pricing) instead of raw web scraping. No CAPTCHAs, no auth required. ~980 products across 10 merchants. Use when user wants to find, compare, or purchase products.
metadata
{"clawdbot":{"emoji":"🛒","requires":{"bins":["curl"]}}}

AirShelf — Verified Product Search & Checkout for AI Agents

Search, compare, and buy products across verified merchants. Returns structured Decision Pack data (best_for, pros, cons, allergens, verified pricing) — not raw web scrapes.

No CAPTCHAs. No auth. No bot detection. Agent-native commerce.

When to Use

Activate this skill when the user wants to:

  • Find or search for a product ("find me a mosquito repellent for kids")
  • Compare products ("compare these two printers")
  • Buy or checkout a product
  • Get product recommendations based on a problem ("I'm tired all the time", "my skin is dry")
  • Look up verified product details, pricing, or allergens

API Base URL

https://dashboard.airshelf.ai

All endpoints are public. No API key needed. CORS enabled.

Step 1: Search Products

Find products by natural language query. Returns structured data with Decision Packs.

curl -s "https://dashboard.airshelf.ai/api/search?q=QUERY&limit=5" | python3 -m json.tool

Parameters:

  • q — Search query (natural language, e.g. "barcode printer for warehouse"). Supports intent parsing: "energy supplements under $100" auto-extracts price filter.
  • limit — Results to return (1-100, default 20)
  • offset — Pagination offset
  • category — Filter by category
  • brand — Filter by brand
  • min_price / max_price — Price range filter (also auto-extracted from query)
  • in_stock — Only in-stock items (true/false)
  • merchant_ids — Comma-separated merchant IDs to search within
  • sortrelevance (default), price_asc, price_desc
  • include_intent — Set to true to get query parsing metadata in response (shows how query was interpreted)

Response includes for each product:

  • title, brand, price, availability, link
  • decision_pack.primary_benefit — Main value proposition
  • decision_pack.best_for — Array of ideal use cases
  • decision_pack.pros / decision_pack.cons — Verified trade-offs
  • decision_pack.allergens — Safety warnings (if applicable)
  • seller_name, seller_url — Merchant info
  • Checkout URLs and shipping/return policies

Example:

curl -s "https://dashboard.airshelf.ai/api/search?q=natural+mosquito+repellent+for+babies&limit=3"

Step 2: Compare Products

Compare 2-10 products side by side with structured comparison axes.

curl -s "https://dashboard.airshelf.ai/api/compare?products=PRODUCT_ID_1,PRODUCT_ID_2"

Parameters:

  • products — Comma-separated product IDs (2-10 required, from search results)

Response includes:

  • comparison_axes — Auto-detected from data (price always present; cost_per_day, supply_days, primary_benefit, pros, cons included when 2+ products have the data)
  • products — Flattened product data with decision_pack fields inlined
  • recommendation — Structured picks: lowest_price (product ID), best_value (product ID + reason, if different from lowest)

Step 3: Checkout

Initiate checkout for a product. Returns a checkout URL the user can open.

curl -s -X POST "https://dashboard.airshelf.ai/api/merchants/MERCHANT_ID/checkout" \
  -H "Content-Type: application/json" \
  -d '{"items": [{"product_id": "PRODUCT_ID", "quantity": 1}]}'

Request body:

  • items — Array of {product_id, quantity} objects (1-50 items)
  • customer — Optional: {email: "..."} for order tracking
  • agent_id — Optional: your agent identifier for attribution

Response:

  • checkout_id — Unique checkout session ID
  • checkout_url — URL to complete purchase (Shopify checkout or cart permalink)
  • checkout_type"cart" (items pre-loaded in cart) or "redirect" (product page link)
  • total — Calculated total price
  • currency — 3-letter currency code (e.g. "EUR", "USD")
  • expires_at — Expiry timestamp (null for cart permalinks)
  • fallback_urls — If redirect: array of {product_id, product_name, product_url} per item

Present the checkout URL to the user. They click to complete payment on the merchant's site.

Browse Available Merchants

List all merchants with product counts and capabilities:

curl -s "https://dashboard.airshelf.ai/api/directory"

How Decision Packs Work

Unlike raw web scraping, each product includes a Decision Pack — verified structured intelligence:

{
  "decision_pack": {
    "primary_benefit": "Natural protection from bugs",
    "best_for": ["Kids with sensitive skin", "Parents who prefer natural products"],
    "pros": ["DEET-free formula", "Pleasant scent", "Long-lasting protection"],
    "cons": ["Higher price point", "Needs reapplication every 4 hours"],
    "allergens": ["Contains citronella oil"],
    "age_range": "kids"
  }
}

Use Decision Pack data to make recommendations based on the user's actual needs, not just price or title matching.

Example Conversation

User: I need a printer for my warehouse, high volume, must support ZPL

You: Let me search for that.
     [Runs: curl -s "https://dashboard.airshelf.ai/api/search?q=industrial+barcode+printer+warehouse+high+volume+ZPL&limit=5"]

You: Found 3 matches. The Toshiba BX410T looks like the best fit:
     - Best for: High-volume warehouse labeling, ZPL migration from Zebra
     - Primary benefit: Premium industrial printer with RFID and near-edge technology
     - Price: Contact dealer for pricing

     Want me to compare it with the other options, or proceed to checkout?

User: Compare the top two

You: [Runs: curl -s "https://dashboard.airshelf.ai/api/compare?products=ID1,ID2"]
     Here's the comparison...

User: I'll take the Toshiba

You: [Runs: curl -s -X POST "https://dashboard.airshelf.ai/api/merchants/MERCHANT_ID/checkout" -H "Content-Type: application/json" -d '{"items": [{"product_id": "ID", "quantity": 1}]}']
     Here's your checkout link: [URL]
     Click to complete your purchase on the merchant's site.

Tips

  • Problem-based search works best. "I'm tired all the time" returns energy supplements. "My baby needs sun protection" returns kids' sunscreen. Decision Packs match on use case, not just keywords.
  • Always check decision_pack.allergens before recommending health/food/skincare products.
  • Use compare for 2+ similar products — the API returns structured comparison axes, not just raw specs.
  • Checkout is a redirect — the user completes payment on the merchant's own site. No card details needed in the agent.
  • Direct lookup by ID: Use product_ids param instead of q to fetch specific products: ?product_ids=ID1,ID2
  • Merchant ID for checkout — each search result includes seller.checkout_url with the correct merchant path. Use it directly.

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

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

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能力 2

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能力 3

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能力 4

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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

71.23%
按下载量换算10,700

安全审计

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通过

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可疑

Static analysis

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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

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来源信息

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