# perfdog_mcp

> Use this tool when you need to monitor and optimize performance in software development, particularly with Git-based projects, to identify bottlenecks and improve overall efficiency. It provides insights into code performance, allowing developers to solve issues related to speed and reliability. The tool accepts Git repository inputs and outputs performance metrics and recommendations for optimization.

Canonical page: https://skillsregistry.net/skills/kimjeonghyun225-cpu-perfdog-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kimjeonghyun225-cpu-perfdog-mcp

## 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/kimjeonghyun225-cpu/perfdog_mcp)

## 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": "kimjeonghyun225-cpu-perfdog-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kimjeonghyun225-cpu-perfdog-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kimjeonghyun225-cpu-perfdog-mcp/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