# spacelens

> spacelens — tungcorn-spacelens. Use this tool when you need to analyze disk storage, inspect application caches, or optimize storage intelligence on Windows systems. It solves problems related to disk space management, cache optimization, and storage performance, providing valuable insights for developers, scripts, and AI agents. With spacelens, you can input system data and scripts, and output detailed storage analytics and optimization recommendations.

Canonical page: https://skillsregistry.net/skills/tungcorn-spacelens  
JSON: https://api.skillsregistry.net/v1/skills/tungcorn-spacelens

## Description

Fast native C++ storage intelligence engine, disk analyzer, and app cache inspector (Zalo/Dev tools) for Windows, scripts, and AI agents.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **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/tungcorn/spacelens)

## 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": "tungcorn-spacelens"
    }
  }
}
```

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

---
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