# webserp

> webserp — paperboardofficial-webserp. Use this tool when you need to conduct a comprehensive web search across multiple engines simultaneously, with the ability to impersonate a browser for more accurate results. It solves problems of limited search scope and biased results by querying 7 search engines in parallel, providing a broader range of outputs. Ideal for use cases requiring thorough information gathering, webserp accepts search queries as input and returns aggregated results.

Canonical page: https://skillsregistry.net/skills/paperboardofficial-webserp  
JSON: https://api.skillsregistry.net/v1/skills/paperboardofficial-webserp

## Description

Web search across 7 engines in parallel with browser impersonation.

## 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:** 2026-09-19

## Source

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

## 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": "paperboardofficial-webserp"
    }
  }
}
```

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