# dataloupe

> dataloupe — aurelio-nakamura-dataloupe. Use this tool when you need to explore and analyze local data offline, converting CSV, Parquet, or Excel files into interactive HTML files without compromising data security. It solves problems of data privacy and portability, allowing for self-contained data visualization and AI-powered querying. Ideal for use cases where data cannot be shared or uploaded to external servers, providing a secure interface for data analysis and exploration.

Canonical page: https://skillsregistry.net/skills/aurelio-nakamura-dataloupe  
JSON: https://api.skillsregistry.net/v1/skills/aurelio-nakamura-dataloupe

## Description

Offline data explorer + MCP server: turn CSV/Parquet/Excel into ONE self-contained interactive HTML file, or let your AI assistant query local data — nothing leaves your machine.

## Trust

- **Trust score (0–1):** 0.80
- **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/aurelio-nakamura/dataloupe)

## 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": "aurelio-nakamura-dataloupe"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aurelio-nakamura-dataloupe` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aurelio-nakamura-dataloupe/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