# PageLens

> Use this tool when you need to automate frontend development testing and debugging with visual feedback. PageLens solves problems related to visual regression, console logs, and network errors by providing direct access to rendered output and automated screenshot capture. It takes browser interactions as input and outputs screenshots, console logs, and error reports, making it ideal for use cases where visual validation and debugging are crucial.

Canonical page: https://skillsregistry.net/skills/amoghmanral-pagelens  
JSON: https://api.skillsregistry.net/v1/skills/amoghmanral-pagelens

## Description

Provides visual feedback for frontend development by giving coding agents direct access to rendered output. Uses Puppeteer to capture screenshots, collect console logs, track network errors, and perform visual regression detection via pixel comparison. Supports browser interactions including click, type, scroll, hover, form selection, and viewport resizing with automatic screenshot capture after each action.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/amoghmanral-pagelens)
- **Repository:** <https://github.com/amoghmanral/pagelens-mcp>

## 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": "amoghmanral-pagelens"
    }
  }
}
```

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