# sluicer

> sluicer — gi0tto-sluicer. Use this tool when you need to extract structured data from web pages without relying on machine learning models. The sluicer tool solves the problem of data extraction by merging eight vocabularies with provenance, providing a summary of answer sources, and announcing its data fetches. It takes web pages as input and outputs structured data with transparent provenance, making it ideal for use cases requiring accurate and trustworthy data extraction.

Canonical page: https://skillsregistry.net/skills/gi0tto-sluicer  
JSON: https://api.skillsregistry.net/v1/skills/gi0tto-sluicer

## Description

Turn any web page, or a whole site, into structured data, with no model in the loop: every record a page declares with where each value came from, fields learnt from one example and checked on every page, crawls, feeds and archives.

## Trust

- **Trust score (0–1):** 0.43
- **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/Gi0tto/sluicer)

## 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": "gi0tto-sluicer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gi0tto-sluicer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gi0tto-sluicer/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