# claudeusage

> claudeusage — syk8015-claudeusage. Use this tool when you need to assess the return on investment of your Claude subscription by analyzing local logs without uploading any data. It helps solve problems related to subscription cost optimization and usage tracking, providing insights into the effectiveness of your Claude usage. The tool takes local logs as input and outputs a measurement of subscription payoff, ideal for use in development environments with git integration.

Canonical page: https://skillsregistry.net/skills/syk8015-claudeusage  
JSON: https://api.skillsregistry.net/v1/skills/syk8015-claudeusage

## Description

Measures whether your Claude subscription is paying off, from local logs. No upload.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/syk8015/claudeusage)

## 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": "syk8015-claudeusage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/syk8015-claudeusage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/syk8015-claudeusage/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