# tokenqrusher

> tokenqrusher — qsmtco-tokenqrusher. Use this tool when you need to optimize token usage in OpenClaw environments, reducing costs by 50-80% and improving overall efficiency. It solves problems of excessive token consumption, providing a cost-effective solution for businesses and organizations. The tokenqrusher system takes in OpenClaw token usage data as input and outputs optimized token configurations, making it an ideal solution for companies looking to minimize expenses.

Canonical page: https://skillsregistry.net/skills/qsmtco-tokenqrusher  
JSON: https://api.skillsregistry.net/v1/skills/qsmtco-tokenqrusher

## Description

Token optimization system for OpenClaw reducing costs 50-80%.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/qsmtco-tokenqrusher)

## 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": "qsmtco-tokenqrusher"
    }
  }
}
```

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