# claude-spend

> Use this tool when you need to analyze and understand Claude Code token usage and associated costs through natural language queries, providing insights into spend data to inform optimization and budgeting decisions. It takes in natural language inputs and outputs detailed spend analysis and insights. Ideal for use cases where cost transparency and spend management are crucial, such as resource allocation and financial planning.

Canonical page: https://skillsregistry.net/skills/mpalermiti-claude-spend  
JSON: https://api.skillsregistry.net/v1/skills/mpalermiti-claude-spend

## Description

Provides tools for Claude to query local Claude Code token usage and cost data, enabling spend analysis and insights through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ry2je7wxp0)
- **Repository:** <https://github.com/mpalermiti/claude-spend>

## 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": "mpalermiti-claude-spend"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mpalermiti-claude-spend` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mpalermiti-claude-spend/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