# ClarityOS

> ClarityOS — rishibuilds-clarityos. Use this tool when you need to simplify complex institutional texts and improve readability. ClarityOS solves the problem of dense, hard-to-understand documents by using a multi-agent feedback loop to meet specific readability targets. It takes in complex texts as input and outputs simplified, clear versions, making it ideal for use cases where clear communication is crucial, such as policy documents, legal texts, or academic papers.

Canonical page: https://skillsregistry.net/skills/rishibuilds-clarityos  
JSON: https://api.skillsregistry.net/v1/skills/rishibuilds-clarityos

## Description

an agentic tool that simplifies complex institutional texts to meet readability targets using a multi-agent feedback loop.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **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/RishiBuilds/ClarityOS)

## 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": "rishibuilds-clarityos"
    }
  }
}
```

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

---
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