# omnifeed

> omnifeed — kinorai-omnifeed. Use this tool when you need to scrape and crawl web data, particularly from Reddit, to gather information and integrate it into AI models. Omnifeed solves problems of data collection and processing, providing a dedicated engine for Reddit and compatibility with Open WebUI. It takes in web URLs and outputs structured data, making it ideal for use cases that require large-scale web data extraction and analysis.

Canonical page: https://skillsregistry.net/skills/kinorai-omnifeed  
JSON: https://api.skillsregistry.net/v1/skills/kinorai-omnifeed

## Description

LLM-friendly web crawler & scraper with a dedicated Reddit engine, built on Crawl4AI — Open WebUI compatible

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **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/kinorai/omnifeed)

## 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": "kinorai-omnifeed"
    }
  }
}
```

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