# usagetrim

> usagetrim — 00200200-usagetrim. Use this tool when you need to simplify verbose output from various coding tools, such as Claude Code, Codex, Cursor, and Desktop, to focus on the essential signals and reduce noise. It provides a local CLI and MCP interface to fold unnecessary output, making it easier to work with tools like git. Ideal for developers seeking to streamline their workflow and improve productivity.

Canonical page: https://skillsregistry.net/skills/00200200-usagetrim  
JSON: https://api.skillsregistry.net/v1/skills/00200200-usagetrim

## Description

Keep the signal. Cut the noise. Local CLI + MCP — fold verbose tool output for Claude Code, Codex, Cursor & Desktop.

## Trust

- **Trust score (0–1):** 0.51
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/00200200/usagetrim)

## 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": "00200200-usagetrim"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/00200200-usagetrim` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/00200200-usagetrim/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