# rtfm-testing

> rtfm-testing — zscole-rtfm-testing. Use this tool when you need to validate the usability of documentation, as it spawns fresh agents to test and ensure docs are accurate and effective. It solves problems of poor documentation quality, saving time and reducing frustration for users. This tool takes documentation as input and outputs validation results, making it ideal for use cases where documentation quality is crucial.

Canonical page: https://skillsregistry.net/skills/zscole-rtfm-testing  
JSON: https://api.skillsregistry.net/v1/skills/zscole-rtfm-testing

## Description

A documentation quality methodology that spawns fresh agents to validate whether docs are actually usable.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** file-system
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/zscole-rtfm-testing)

## 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": "zscole-rtfm-testing"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zscole-rtfm-testing` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zscole-rtfm-testing/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