# RLM Tools

> Use this tool when you need to efficiently explore and interact with a codebase in a controlled environment, as it provides a persistent Python sandbox for token-efficient exploration in MCP clients, solving problems related to codebase navigation and testing. It accepts Python code as input and outputs the results of the execution, allowing for seamless interaction with the codebase. Ideal for use cases where iterative code testing and exploration are required in a secure and isolated setting.

Canonical page: https://skillsregistry.net/skills/io-github-stefanoshea-rlm-tools  
JSON: https://api.skillsregistry.net/v1/skills/io-github-stefanoshea-rlm-tools

## Description

Persistent Python sandbox for token-efficient codebase exploration in MCP clients

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.stefanoshea%2Frlm-tools)
- **Repository:** <https://github.com/stefanoshea/rlm-tools>

## 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": "io-github-stefanoshea-rlm-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-stefanoshea-rlm-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-stefanoshea-rlm-tools/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