# grago

> grago — solsuk-grago. Use this tool when you need to offload research and data-fetching tasks, leveraging a free local Large Language Model (LLM) to streamline your workflow and improve productivity. Grago solves problems related to information gathering, data retrieval, and research assistance, providing efficient outputs in response to user inputs and queries. Ideal for use cases where local data processing and autonomous research support are required.

Canonical page: https://skillsregistry.net/skills/solsuk-grago  
JSON: https://api.skillsregistry.net/v1/skills/solsuk-grago

## Description

**Delegate research and data-fetch tasks to a free local LLM.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-25

## Source

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

## 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": "solsuk-grago"
    }
  }
}
```

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