# toktrim

> toktrim — kaa-serpent-toktrim. Use this tool when you need to efficiently trim and preprocess tokens for NLP and LLM workflows on Windows, solving issues with data quality and consistency. It takes in raw text data and outputs trimmed and preprocessed tokens, streamlining your workflow. Ideal for use in data preparation stages of machine learning and natural language processing projects.

Canonical page: https://skillsregistry.net/skills/kaa-serpent-toktrim  
JSON: https://api.skillsregistry.net/v1/skills/kaa-serpent-toktrim

## Description

Lightweight token trimming and preprocessing utility for NLP and LLM work flows on windows

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/kaa-serpent/toktrim)

## 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": "kaa-serpent-toktrim"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kaa-serpent-toktrim` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kaa-serpent-toktrim/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