# Tokensaver

> Use this tool when you need to optimize token usage in AI coding assistants, especially with large codebases, to reduce unnecessary token consumption while maintaining coding quality. Tokensaver analyzes codebase structure and provides targeted context, serving only the most relevant file contents to minimize token waste. It is ideal for developers working on extensive projects who want to streamline their workflow efficiency and reduce costs associated with token usage.

Canonical page: https://skillsregistry.net/skills/byggarepop-tokensaver  
JSON: https://api.skillsregistry.net/v1/skills/byggarepop-tokensaver

## Description

Tokensaver helps reduce token consumption when using AI coding assistants by intelligently serving only the most relevant file contents from a project. It analyzes the codebase structure and provides targeted context to minimize unnecessary token usage while maintaining coding quality. Designed to optimize workflow efficiency when working with large codebases.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/byggarepop-tokensaver)
- **Repository:** <https://github.com/byggarepop/tokensaver>

## 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": "byggarepop-tokensaver"
    }
  }
}
```

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