# browse

> Use this tool when you need to automate browser interactions, such as data scraping, form filling, or clicking through websites. It solves problems like repetitive browsing tasks, data extraction, and testing web applications, by providing a guide for creating and deploying browser automation functions. With inputs like browser commands and scripts, and outputs like automated browsing sessions, it streamlines web-based workflows.

Canonical page: https://skillsregistry.net/skills/pkiv-browse  
JSON: https://api.skillsregistry.net/v1/skills/pkiv-browse

## Description

Complete guide for creating and deploying browser automation functions.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** devops-ci
- **Updated:** 2026-05-17

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/pkiv-browse)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pkiv-browse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pkiv-browse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pkiv-browse/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt