# HyperDiskUsage

> HyperDiskUsage — automationjp-hyperdiskusage. Use this tool when you need to quickly analyze disk usage across different platforms, solving problems such as identifying storage bottlenecks and optimizing disk space. It provides a command-line interface, graphical user interface, and compatibility with GNU du, generating outputs that can be easily parsed by AI agents. Ideal for use cases requiring fast and accurate disk usage analysis, such as system maintenance and resource optimization.

Canonical page: https://skillsregistry.net/skills/automationjp-hyperdiskusage  
JSON: https://api.skillsregistry.net/v1/skills/automationjp-hyperdiskusage

## Description

Fast cross-platform disk usage analyzer in Rust. CLI, GUI, GNU du compatibility, and read-only MCP tools for AI agents. Built by Automation co,.ltd

## Trust

- **Trust score (0–1):** 0.58
- **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/automationjp/HyperDiskUsage)

## 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": "automationjp-hyperdiskusage"
    }
  }
}
```

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