# PlanckBot

> Use this tool when you need to optimize language model performance by reducing token usage. PlanckBot solves the problem of verbose tool outputs by compressing them, making it ideal for applications where token efficiency is crucial. It takes in large tool outputs and generates concise, compressed outputs, making it a valuable interface layer between LLMs and MCP tools.

Canonical page: https://skillsregistry.net/skills/opcastil11-planckbot  
JSON: https://api.skillsregistry.net/v1/skills/opcastil11-planckbot

## Description

An adaptive tiny-model layer that sits between an LLM and its MCP tools, compressing verbose tool outputs to reduce token usage by up to two orders of magnitude.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zmhyp2gzup)
- **Repository:** <https://github.com/opcastil11/planckbot>

## 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": "opcastil11-planckbot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/opcastil11-planckbot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/opcastil11-planckbot/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