# th0th

> Use this tool when you need to efficiently process and understand large amounts of text data with high accuracy, reducing token complexity by 98%. It solves problems of information overload and improves AI assistant performance by providing concise and relevant search results. Ideal for use cases where semantic search and token reduction are crucial, such as natural language processing and machine learning applications.

Canonical page: https://skillsregistry.net/skills/s1lv4-th0th  
JSON: https://api.skillsregistry.net/v1/skills/s1lv4-th0th

## Description

Semantic search with 98% token reduction for AI assistants.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wdnof3ykyj)
- **Repository:** <https://github.com/S1LV4/th0th>

## 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": "s1lv4-th0th"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/s1lv4-th0th` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/s1lv4-th0th/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