# tokenmeter

> Use this tool when you need to monitor and manage AI token consumption across multiple providers to optimize costs and usage. Tokenmeter tracks token usage and costs, providing valuable insights to solve budgeting and resource allocation problems. It accepts provider credentials as input and outputs detailed usage reports and cost estimates, making it ideal for AI model developers and businesses seeking to streamline their AI expenses.

Canonical page: https://skillsregistry.net/skills/cheenu1092-oss-tokenmeter  
JSON: https://api.skillsregistry.net/v1/skills/cheenu1092-oss-tokenmeter

## Description

Track AI token usage and costs across providers.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/cheenu1092-oss-tokenmeter)

## 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": "cheenu1092-oss-tokenmeter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cheenu1092-oss-tokenmeter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cheenu1092-oss-tokenmeter/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
