# tomoshibi

> tomoshibi — michael-obele-tomoshibi. Use this tool when you need to quickly scrape and convert website content into LLM-ready markdown format, solving data preparation challenges for AI agents. Tomoshibi takes in website URLs and outputs formatted markdown, compatible with Firecrawl's API schema. It is ideal for use cases requiring fast and efficient web data extraction, such as training language models or powering chatbots.

Canonical page: https://skillsregistry.net/skills/michael-obele-tomoshibi  
JSON: https://api.skillsregistry.net/v1/skills/michael-obele-tomoshibi

## Description

Tomoshibi is a self-hosted search & scraping server for AI agents, built with Go. It turns any site into LLM-ready markdown in 200ms. One binary, $5/mo. API-compatible with Firecrawl's schema. Formerly Cinder.

## Trust

- **Trust score (0–1):** 0.69
- **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/Michael-Obele/tomoshibi)

## 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": "michael-obele-tomoshibi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/michael-obele-tomoshibi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/michael-obele-tomoshibi/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