air-sdk

air-sdk is a skill for Claude Code, Codex from ArcedeDev/air-sdk. It costs 41 tokens per session (861 once invoked), scanned A, original, MIT.

A shared knowledge service for browser agents that records what websites can do and which page controls work. CSS selectors are the patterns used to identify buttons, fields, and other page elements.

In plain words
What is it for?
Checking a site’s known capabilities, getting step-by-step interaction instructions, extracting structured data, and reporting what happened.
Why use it?
It reduces repeated trial and error when navigating websites and lets agents reuse successful instructions from earlier work.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Checking a site’s known capabilities, getting step-by-step interaction instructions, extracting structured data…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/arcededev/air-sdk/clawhub-skill
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ArcedeDev/air-sdk --skill clawhub-skill
Clone the repo
git clone --depth 1 https://github.com/ArcedeDev/air-sdk

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for air-sdk

README.md
[![agentmods](https://agentmods.dev/badge/skills/arcededev/air-sdk/clawhub-skill.svg)](https://agentmods.dev/skills/arcededev/air-sdk/clawhub-skill)
Your own site
<a href="https://agentmods.dev/skills/arcededev/air-sdk/clawhub-skill"><img src="https://agentmods.dev/badge/skills/arcededev/air-sdk/clawhub-skill.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 861 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00861
Opus 5 $0.00020 $0.00430
Sonnet 5 $0.00008 $0.00172
Haiku 4.5 $0.00004 $0.00086

Measured 6d ago against content hash 99683216bfbc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

air-sdk scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

clawhub-skill/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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:

Read the full file on GitHub · 118 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 118 lines · 41 tokens per session scan A 99683216bfbc

Subscribe to this mod's changes

air-sdk is a skill published in the GitHub repository ArcedeDev/air-sdk (1 stars, last pushed 4mo ago), licensed MIT. It adds 41 tokens to every session and 861 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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