# com.predme/hypathesis

> Use this tool when you need to extract and analyze variable relationships from research papers, identifying causal directions and tracing back to original sources. It solves problems of information overload and ambiguity in scientific literature by providing clear and actionable insights. The tool takes in research papers as input and outputs annotated relationships with causal direction and source metadata.

Canonical page: https://skillsregistry.net/skills/com-predme-hypathesis  
JSON: https://api.skillsregistry.net/v1/skills/com-predme-hypathesis

## Description

Variable relationships from research papers with causal direction and source traceback.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.16.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.predme%2Fhypathesis)

## Use it

MCP endpoint published by the skill: `https://hypathesis.com/mcp`

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": "com-predme-hypathesis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-predme-hypathesis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-predme-hypathesis/pull`

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