# ai-usage

> ai-usage — bshandley-ai-usage. Use this tool when you need to monitor and track AI usage across multiple providers, including Anthropic, to optimize resource allocation and identify areas of improvement. It solves problems related to AI resource management, cost optimization, and usage transparency. The tool takes in provider data as input and outputs detailed usage reports and analytics.

Canonical page: https://skillsregistry.net/skills/bshandley-ai-usage  
JSON: https://api.skillsregistry.net/v1/skills/bshandley-ai-usage

## Description

Check AI usage across Anthropic and other providers.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/bshandley-ai-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": "bshandley-ai-usage"
    }
  }
}
```

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