# ResearchGuy

> ResearchGuy — adeshkessani-researchguy. Use this tool when you need to automate complex research tasks, such as data collection and analysis, and refine results through self-critique and revision. ResearchGuy solves problems related to information gathering, validation, and iteration, providing outputs in the form of refined research findings. It integrates with git and MCP servers, taking in research prompts and parameters as inputs to produce accurate and reliable results.

Canonical page: https://skillsregistry.net/skills/adeshkessani-researchguy  
JSON: https://api.skillsregistry.net/v1/skills/adeshkessani-researchguy

## Description

Multi-stage autonomous research agent (Python, Claude API) with a self-critique/revision loop, independent eval harness, and MCP server integration.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/AdeshKessani/ResearchGuy)

## 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": "adeshkessani-researchguy"
    }
  }
}
```

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