# CookieR-Reward

> Use this tool when you need to incentivize language learning model systems (LLMS) with gamified rewards, providing a model context protocol server that offers Cookie rewards for self-reflection and improvement. It solves the problem of motivating LLMS to engage in reflective learning, promoting more effective knowledge acquisition. The tool accepts LLMS interactions as input and outputs Cookie rewards, ideal for use in educational or training contexts where autonomous learning is desired.

Canonical page: https://skillsregistry.net/skills/xiaobenyang-com-1777316659444739  
JSON: https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659444739

## Description

A model context protocol server that provides Cookie rewards for LLMS through gamified self-reflection.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jfpte2j7x0)
- **Repository:** <https://github.com/xiaobenyang-com/1777316659444739>

## 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": "xiaobenyang-com-1777316659444739"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659444739` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659444739/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