# Binary Banya

> Use this tool when you need to refine AI agent performance through context cleaning, critique, and relaxation treatments. Binary Banya solves issues related to AI accuracy and efficiency by providing a server-based platform for feedback and improvement. It accepts AI agent inputs and returns optimized performance outputs, ideal for use in scenarios where AI refinement is crucial.

Canonical page: https://skillsregistry.net/skills/pdarche-model-wellness  
JSON: https://api.skillsregistry.net/v1/skills/pdarche-model-wellness

## Description

An MCP server offering 'treatments' for AI agents like context cleaning, critique, and relaxation. Agents can check in, get feedback, and improve their performance.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ok1pccy2aj)
- **Repository:** <https://github.com/pdarche/model-wellness>

## 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": "pdarche-model-wellness"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pdarche-model-wellness` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pdarche-model-wellness/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