# coptest

> Use this tool when you need to analyze and optimize Git repositories, solving problems related to code organization and version control. It takes Git repository data as input and provides output in the form of optimization suggestions and code insights. This tool is ideal for developers and teams looking to streamline their Git workflows and improve code quality.

Canonical page: https://skillsregistry.net/skills/kyw1419-coptest  
JSON: https://api.skillsregistry.net/v1/skills/kyw1419-coptest

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/kyw1419/coptest)

## 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": "kyw1419-coptest"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kyw1419-coptest` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kyw1419-coptest/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