# gather

> gather — harperz9-gather. Use this tool when you need to collect and organize research from diverse sources, such as web pages, videos, papers, and audio files, into structured packets. It solves problems of information fragmentation and difficulty in tracking changes, by extracting data from the DOM and utilizing OCR for scanned PDFs. Ideal for research projects requiring comprehensive and reliable data gathering, with built-in version control through git.

Canonical page: https://skillsregistry.net/skills/harperz9-gather  
JSON: https://api.skillsregistry.net/v1/skills/harperz9-gather

## Description

Research intake that reaches the hard places: web, video, papers, scanned PDFs, browser, OCR, and audio into structured research packets. DOM extraction and change tracking built in; provenance rides along on every item.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/HarperZ9/gather)

## 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": "harperz9-gather"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/harperz9-gather` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/harperz9-gather/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