# auto-research

> auto-research — yoder-bawt-auto-research. Use this tool when you need to automate the research process, searching and synthesizing large amounts of information while maintaining source transparency. It solves problems of information overload, saves time, and increases accuracy in research tasks. The auto-research tool takes in research queries as input and outputs organized, sourced findings.

Canonical page: https://skillsregistry.net/skills/yoder-bawt-auto-research  
JSON: https://api.skillsregistry.net/v1/skills/yoder-bawt-auto-research

## Description

An autonomous research agent for OpenClaw that searches, synthesizes, and stores findings with full source tracking.

## 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/yoder-bawt-auto-research)

## 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": "yoder-bawt-auto-research"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yoder-bawt-auto-research` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yoder-bawt-auto-research/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