# LLMKit

> Use this tool when you need to manage and track AI agent costs across multiple providers, enforce budget constraints, and gain insights into cost breakdowns by model, session, or provider. LLMKit provides a centralized interface to monitor and control expenses, rejecting requests when budgets are exceeded. Ideal for optimizing AI resource allocation and reducing unnecessary costs.

Canonical page: https://skillsregistry.net/skills/smigolsmigol-llmkit  
JSON: https://api.skillsregistry.net/v1/skills/smigolsmigol-llmkit

## Description

Track what your AI agents cost across 11 providers. Budget enforcement that actually rejects requests when exceeded. Cost breakdowns by model, session, or provider.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/smigolsmigol/llmkit)
- **Repository:** < https://github.com/smigolsmigol/llmkit>

## 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": "smigolsmigol-llmkit"
    }
  }
}
```

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