# agent-usage

> agent-usage — kitsuyui-agent-usage. Use this tool when you need to monitor and manage AI coding agent usage, as it provides rate-limit and usage data, enabling queries of usage snapshots and reset times to optimize tool performance and prevent overuse. It solves problems related to resource allocation and tool utilization, offering insights into usage patterns. The tool accepts queries as input and returns usage data and reset times as output.

Canonical page: https://skillsregistry.net/skills/kitsuyui-agent-usage  
JSON: https://api.skillsregistry.net/v1/skills/kitsuyui-agent-usage

## Description

Exposes rate-limit and usage data for AI coding agent CLIs as MCP tools, enabling querying of usage snapshots and reset times.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vw7n0pj76w)
- **Repository:** <https://github.com/kitsuyui/agent-usage>

## 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": "kitsuyui-agent-usage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kitsuyui-agent-usage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kitsuyui-agent-usage/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