# promptopt

> promptopt — hawktuahcoin-hurhur-promptopt. Use this tool when you need to optimize prompt-based interactions for terminal AI agents, reducing token usage and costs by compressing prompts offline and routing queries to the most cost-effective models. It solves problems of inefficient token utilization and high costs associated with repeated or unnecessary model queries. The tool takes in prompts and model capabilities as inputs and outputs optimized, cost-effective query routes.

Canonical page: https://skillsregistry.net/skills/hawktuahcoin-hurhur-promptopt  
JSON: https://api.skillsregistry.net/v1/skills/hawktuahcoin-hurhur-promptopt

## Description

Enables local, offline prompt compression, smart asking when needed, and routing to the cheapest capable model to save tokens and costs for terminal AI agents.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b28ysteor0)
- **Repository:** <https://github.com/hawktuahcoin-hurhur/promptopt>

## 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": "hawktuahcoin-hurhur-promptopt"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hawktuahcoin-hurhur-promptopt` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hawktuahcoin-hurhur-promptopt/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