Agent skill · Content & Marketing

remote-input

Download remote content (arxiv papers, YouTube videos, Bilibili videos) to local storage and route to downstream grounding pipeline. Use when user provides a URL instead of a local file path.

Yiming Zhao438★ · 1 repos on radarProfile →
cursorships scriptsMIT
Install
npx skills add gaotiexinqu/OneResearchClaw --skill remote-input --agent cursor

Same command for any agent — swap --agent for claude-code, codex, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 11 KB
Bundled scripts: yes
Path: .cursor/skills/remote-input/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 438
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Remote Input Download remote content (arxiv papers, YouTube videos, Bilibili videos) to local storage and seamlessly integrate into the downstream pipeline. ## What This Skill Does This skill acts as a **pre-processing layer** for the pipeline: 1. Detects URL type (arxiv, YouTube, or Bilibili) 2. Downloads content to `data/raw_inputs/remote/` 3. Returns the local file path 4. Triggers the next p

More from OneResearchClaw
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About this skill
What does the remote-input skill do?

Download remote content (arxiv papers, YouTube videos, Bilibili videos) to local storage and route to downstream grounding pipeline. Use when user provides a URL instead of a local file path.

How do I install it?

Run `npx skills add gaotiexinqu/OneResearchClaw --skill remote-input --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gaotiexinqu/OneResearchClaw, a repository with 438 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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