# maverik

> maverik — langens-jonathan-maverik. Use this tool when you need to benchmark, compare, and predict costs of MCP agents, providing insights into their performance and efficiency through a user-friendly interface that accepts agent configurations as input and outputs detailed performance metrics and cost estimates. It solves problems related to AI agent optimization, resource allocation, and cost management. Ideal for use cases where AI agent performance and cost need to be evaluated and improved.

Canonical page: https://skillsregistry.net/skills/langens-jonathan-maverik  
JSON: https://api.skillsregistry.net/v1/skills/langens-jonathan-maverik

## Description

Benchmark, compare, and cost-predict your MCP agents — JMeter for AI agents.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/langens-jonathan/maverik)

## 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": "langens-jonathan-maverik"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/langens-jonathan-maverik` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/langens-jonathan-maverik/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