# browser-ladder

> browser-ladder — ktpriyatham-browser-ladder. Use this tool when you need to automate browser interactions, escalate browsing capabilities, or simulate user interactions for testing and debugging purposes. The browser-ladder tool takes input parameters such as browser type and version, and outputs automated browsing sessions with escalated privileges. It solves problems related to browser compatibility testing, automation, and debugging, and is particularly useful in web development and quality assurance contexts.

Canonical page: https://skillsregistry.net/skills/ktpriyatham-browser-ladder  
JSON: https://api.skillsregistry.net/v1/skills/ktpriyatham-browser-ladder

## Description

Climb the browser ladder — start free, escalate.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** browser-automation
- **Updated:** 2026-09-26

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/ktpriyatham-browser-ladder)

## 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": "ktpriyatham-browser-ladder"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ktpriyatham-browser-ladder` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ktpriyatham-browser-ladder/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