# token-saver

> Use this tool when you need to optimize OpenClaw AI model usage and reduce costs. The token-saver provides model-aware optimization, solving problems of excessive token consumption and high AI service bills. It takes in AI model usage patterns as input and outputs optimized token allocation, ideal for use cases where cost reduction is crucial.

Canonical page: https://skillsregistry.net/skills/rubenaquispe-token-saver  
JSON: https://api.skillsregistry.net/v1/skills/rubenaquispe-token-saver

## Description

Reduce OpenClaw AI costs with model-aware optimization.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/rubenaquispe-token-saver)

## 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": "rubenaquispe-token-saver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rubenaquispe-token-saver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rubenaquispe-token-saver/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
