# clarity-research

> clarity-research — clarityprotocol-clarity-research. Use this tool when you need to search and analyze protein folding research data to gain insights into molecular structures and functions. It solves problems related to accessing and understanding complex biological data, facilitating use cases such as disease research and drug development. The tool takes in specific queries and outputs relevant research data from the Clarity Protocol.

Canonical page: https://skillsregistry.net/skills/clarityprotocol-clarity-research  
JSON: https://api.skillsregistry.net/v1/skills/clarityprotocol-clarity-research

## Description

Search protein folding research data from Clarity Protocol.

## 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/clarityprotocol-clarity-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": "clarityprotocol-clarity-research"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/clarityprotocol-clarity-research` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/clarityprotocol-clarity-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