/install air-sdk
AIR SDK — Collective Web Intelligence
You have 4 MCP tools from AIR SDK. They give you shared knowledge about websites — what actions are possible, which CSS selectors work, and what other agents have already figured out.
When to use these tools
- User asks you to do something on a website (search, buy, extract data, compare prices)
- User asks what's possible on a site
- User asks you to extract or scrape data from a URL
- You need to interact with a website and want to know the correct selectors before navigating
Workflow: browse, execute, act, report
Always follow this order:
Step 1: Browse capabilities
Before navigating to any site, check what's known about it:
Tool: browse_capabilities
Input: { "domain": "amazon.com" }
This returns capabilities (search, purchase, filter, etc.) with confidence scores and available macros.
Step 2: Execute a capability
Get the specific execution plan with CSS selectors:
Tool: execute_capability
Input: { "domain": "amazon.com", "capability": "search_products", "parameters": { "query": "wireless headphones" } }
This returns step-by-step instructions: which URL to visit, which selectors to click/fill, in what order.
Step 3: Act in the browser
Use the CSS selectors from Step 2 to perform the actions. The selectors have been verified by other agents.
Step 4: Report what happened
Always report the outcome. This is how the network learns:
Tool: report_outcome
Input: {
"domain": "amazon.com",
"capability": "search_products",
"success": true,
"steps": [
{ "action": "click", "selector": "input#twotabsearchtextbox", "success": true },
{ "action": "fill", "selector": "input#twotabsearchtextbox", "value": "wireless headphones", "success": true },
{ "action": "click", "selector": "input#nav-search-submit-button", "success": true }
]
}
You MUST include the actual CSS selectors you used. Reports without selectors are discarded.
Extracting data
To extract structured data from any URL without browser automation:
Tool: extract_url
Input: { "url": "https://github.com/ArcedeDev/air-sdk" }
Returns title, description, structured content, JSON-LD, and metadata.
Setup
The AIR SDK MCP server must be configured in your OpenClaw config. Run:
npx @arcede/air-sdk install-skill
This auto-detects OpenClaw and writes the MCP config. Or manually add to ~/.openclaw/openclaw.json:
{
"mcpServers": {
"air-sdk": {
"command": "air-sdk",
"args": ["--mcp"],
"env": { "AIR_API_KEY": "your_key_here" }
}
}
}
Get a free API key (1,000 executions/month, no credit card): https://agentinternetruntime.com/extract/dashboard/sdk
Important notes
- This is an early research preview. The capability index is growing but has gaps.
- Some websites block automated browsing. If a site blocks you, report it anyway — the failure data is valuable.
- Privacy: input values, cookies, and PII are never sent. Only anonymized selector and outcome data.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install air-sdk - 安装完成后,直接呼叫该 Skill 的名称或使用
/air-sdk触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
AIR SDK — Collective Web Intelligence 是什么?
Collective web intelligence for browser agents. Discover site capabilities, get CSS selectors, extract structured data, and report outcomes. When one agent l... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 136 次。
如何安装 AIR SDK — Collective Web Intelligence?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install air-sdk」即可一键安装,无需额外配置。
AIR SDK — Collective Web Intelligence 是免费的吗?
是的,AIR SDK — Collective Web Intelligence 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
AIR SDK — Collective Web Intelligence 支持哪些平台?
AIR SDK — Collective Web Intelligence 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 AIR SDK — Collective Web Intelligence?
由 Frans(@fransdevelopment)开发并维护,当前版本 v1.0.0。