# codearia-sieve

> codearia-sieve — antong87-codearia-sieve. Use this tool when you need to parse web pages into a structured format for decision models, converting unformatted data into usable dates, numbers with units, and segmented chunks. It solves problems of data inconsistency and formatting, providing a standardized output for model input. The codearia-sieve tool takes in web page data and outputs formatted data, making it ideal for use cases where data preprocessing is necessary, with integration available via MCP server or TypeScript library.

Canonical page: https://skillsregistry.net/skills/antong87-codearia-sieve  
JSON: https://api.skillsregistry.net/v1/skills/antong87-codearia-sieve

## Description

Parses a web page into the exact format a decision model needs: dates as dates, numbers with units, chunks that fit the model's window. MCP server + TypeScript library, no model or API key required.

## Trust

- **Trust score (0–1):** 0.94
- **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/AntonG87/codearia-sieve)

## 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": "antong87-codearia-sieve"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/antong87-codearia-sieve` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/antong87-codearia-sieve/pull`

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