# neo-ddg-search

> neo-ddg-search — neobotjan2026-neo-ddg-search. Use this tool when you need to search the web privately and efficiently, solving problems like finding specific information or answering questions. It takes in a search query as input and returns relevant web results as output. Ideal for use cases where anonymous and unbiased search results are required, such as research or general knowledge queries.

Canonical page: https://skillsregistry.net/skills/neobotjan2026-neo-ddg-search  
JSON: https://api.skillsregistry.net/v1/skills/neobotjan2026-neo-ddg-search

## Description

Search the web using DuckDuckGo.

## 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:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/neobotjan2026-neo-ddg-search)

## 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": "neobotjan2026-neo-ddg-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neobotjan2026-neo-ddg-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neobotjan2026-neo-ddg-search/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