# claude-usage-guard

> Use this tool when you need to monitor and manage real-time rate limit usage for Claude Code, solving problems of overcapacity and failed task launches. It provides an interface for orchestrators to check remaining capacity before launching subtasks, taking in usage requests and outputting current rate limit usage. Ideal for use cases where task optimization and resource allocation are critical, such as large-scale workflow management.

Canonical page: https://skillsregistry.net/skills/ecerutti-claude-usage-guard  
JSON: https://api.skillsregistry.net/v1/skills/ecerutti-claude-usage-guard

## Description

An MCP server that exposes Claude Code's real-time rate limit usage so that an orchestrator can check remaining capacity before launching subtasks.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o0uewqk524)
- **Repository:** <https://github.com/ecerutti/claude-usage-guard>

## 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": "ecerutti-claude-usage-guard"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ecerutti-claude-usage-guard` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ecerutti-claude-usage-guard/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