# io.github.Kind-ling/twig

> Use this tool when you need to optimize MCP server quality and score, solving problems of inefficient resource allocation and suboptimal agent performance in the agent economy. It takes input parameters such as server configuration and agent data, and outputs optimized scoring and recommendations for improvement. Use it in contexts where maximizing server quality and agent efficiency is crucial for overall system performance.

Canonical page: https://skillsregistry.net/skills/io-github-kind-ling-twig  
JSON: https://api.skillsregistry.net/v1/skills/io-github-kind-ling-twig

## Description

MCP server quality scoring and optimization for the agent economy.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 0.4.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-24

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Kind-ling%2Ftwig)
- **Repository:** <https://github.com/Kind-ling/twig>

## 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-kind-ling-twig"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-kind-ling-twig` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-kind-ling-twig/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