# rigor-mcp

> rigor-mcp — mrnh-rigor. Use this tool when you need to perform reliable statistical analysis and hypothesis testing, as it solves problems related to data interpretation and inference by providing verified tools such as t-tests and power analysis, and accepts input data with output results and citations. It is particularly useful in research and scientific contexts where accurate statistical inference is crucial. The tool's interface allows for input of sample data and outputs results with assumption checks and corrections.

Canonical page: https://skillsregistry.net/skills/mrnh-rigor  
JSON: https://api.skillsregistry.net/v1/skills/mrnh-rigor

## Description

Provides verified statistical inference and hypothesis testing tools, including t-tests, effect sizes, power analysis, and multiple comparisons correction, with assumption checks and citations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zd7f8w64bc)
- **Repository:** <https://github.com/mrnh/rigor>

## 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": "mrnh-rigor"
    }
  }
}
```

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