# io.github.CogitatorTech/omni-nli

> Use this tool when you need to process and understand natural language inputs to make informed inferences, solving problems such as text classification, sentiment analysis, and question answering. It takes in text data as input and outputs inferred meanings and relationships, enabling applications like chatbots, language translation, and content summarization. Ideal for use cases requiring human-like language comprehension and decision-making.

Canonical page: https://skillsregistry.net/skills/io-github-cogitatortech-omni-nli  
JSON: https://api.skillsregistry.net/v1/skills/io-github-cogitatortech-omni-nli

## Description

An MCP server for natural language inference

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.CogitatorTech%2Fomni-nli)
- **Repository:** <https://github.com/CogitatorTech/omni-nli>

## 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": "io-github-cogitatortech-omni-nli"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-cogitatortech-omni-nli` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-cogitatortech-omni-nli/pull`

---
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