Agent skill

Remote Input

by gaotiexinqu in gaotiexinqu/OneResearchClaw

Download remote content (arxiv papers, YouTube videos, Bilibili videos) to local storage and route to downstream grounding pipeline.

MITAuto-check passedResearch & Science

Install Remote Input

skills CLI

$ npx skills add gaotiexinqu/OneResearchClaw --skill remote-input -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install gaotiexinqu/OneResearchClaw remote-input --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/remote-input .claude/skills/remote-input && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "remote-input" agent skill from https://github.com/gaotiexinqu/OneResearchClaw/tree/main/.cursor/skills/remote-input into .claude/skills/remote-input/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-input", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/gaotiexinqu/OneResearchClaw/tree/main/.cursor/skills/remote-input

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add gaotiexinqu/OneResearchClaw --skill remote-input -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install gaotiexinqu/OneResearchClaw remote-input --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.cursor/skills/remote-input .agents/skills/remote-input && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "remote-input" agent skill from https://github.com/gaotiexinqu/OneResearchClaw/tree/main/.cursor/skills/remote-input into .agents/skills/remote-input/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-input", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add gaotiexinqu/OneResearchClaw --skill remote-input -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install gaotiexinqu/OneResearchClaw remote-input --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.cursor/skills/remote-input .cursor/skills/remote-input && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "remote-input" agent skill from https://github.com/gaotiexinqu/OneResearchClaw/tree/main/.cursor/skills/remote-input into .cursor/skills/remote-input/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-input", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/gaotiexinqu/OneResearchClaw.git --path .cursor/skills/remote-input

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add gaotiexinqu/OneResearchClaw --skill remote-input -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install gaotiexinqu/OneResearchClaw remote-input --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.cursor/skills/remote-input .gemini/skills/remote-input && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "remote-input" agent skill from https://github.com/gaotiexinqu/OneResearchClaw/tree/main/.cursor/skills/remote-input into .gemini/skills/remote-input/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-input", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install gaotiexinqu/OneResearchClaw remote-input

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add gaotiexinqu/OneResearchClaw --skill remote-input -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/.cursor/skills/remote-input .github/skills/remote-input && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "remote-input" agent skill from https://github.com/gaotiexinqu/OneResearchClaw/tree/main/.cursor/skills/remote-input into .github/skills/remote-input/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-input", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add gaotiexinqu/OneResearchClaw --skill remote-input -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install gaotiexinqu/OneResearchClaw remote-input --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.cursor/skills/remote-input .opencode/skills/remote-input && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "remote-input" agent skill from https://github.com/gaotiexinqu/OneResearchClaw/tree/main/.cursor/skills/remote-input into .opencode/skills/remote-input/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-input", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: remote-input
GitHub stars: 450
Token cost: ~2.8k tokens
SKILL.md length: 619 words
Files: 3 (incl. scripts)
Skills in repo: 15
Repo updated: May 9, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Download remote content (arxiv papers, YouTube videos, Bilibili videos) to local storage and route to downstream grounding pipeline.

Works in 4 steps: Parse Input URL → Download Content → Write Metadata → …
User provides a URL instead of a local file path
SKILL.md covers What This Skill Does, Supported URL Types, Directory Structure and Workflow, plus 7 more sections
Runs Python scripts from its folder; calls python; reaches bilibili.com and arxiv.org

What it does

Remote Input is an agent skill from gaotiexinqu/OneResearchClaw. 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.

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/download_arxiv.py` and `scripts/download_video.py`).

It sits in Research & Science. It works with arXiv, YouTube and Bilibili. The repository describes itself as: Any research. One Claw. 🦞 From any materials to research with fully autonomous & skill-driven researcher. The licence is MIT.

When your agent uses it

User provides a URL instead of a local file path

Example prompts

“/remote-input”

Requirements

Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Parse Input URL
Download Content
Write Metadata
Return Local Path

What it can do on your machine

Read from SKILL.md and the folder at commit 37e86c6. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- bilibili.com
- arxiv.org
- youtube.com
- b23.tv
- youtu.be
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Remote Input loads about 2.8k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 619 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~51
When it runs · the whole SKILL.md, loaded when a task matches: ~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from gaotiexinqu/OneResearchClaw at commit 37e86c6, republished under its MIT licence (© gaotiexinqu). 619 words, ~2,791 tokens.

Download SKILL.mdSave it as .claude/skills/remote-input/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: remote-input
description: 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.

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:

Detects URL type (arxiv, YouTube, or Bilibili)
Downloads content to data/raw_inputs/remote/
Returns the local file path
Triggers the next pipeline stage

Supported URL Types

URL Type	Download Target	Local Extension	Downstream Routing
`https://arxiv.org/abs/...`	PDF	`.pdf`	`document-grounding`
`https://arxiv.org/pdf/...`	PDF	`.pdf`	`document-grounding`
`https://www.youtube.com/watch?v=...`	Video	`.mp4`/`.mkv`	`meeting-video-grounding`
`https://youtu.be/...`	Video	`.mp4`/`.mkv`	`meeting-video-grounding`
`https://www.youtube.com/shorts/...`	Video	`.mp4`/`.mkv`	`meeting-video-grounding`
`https://bilibili.com/video/BV...`	Video	`.mp4`/`.mkv`	`meeting-video-grounding`
`https://www.bilibili.com/video/av...`	Video	`.mp4`/`.mkv`	`meeting-video-grounding`
`https://b23.tv/...`	Video	`.mp4`/`.mkv`	`meeting-video-grounding`

Note on merge failure: When video download produces separate video and audio files (merge failure), the downloader returns merge_failed: true with audio_path pointing to the audio file. The downstream routing switches to meeting-audio-grounding instead of meeting-video-grounding.

Directory Structure

data/raw_inputs/remote/
├── arxiv/
│   └── <paper_id>.pdf          # e.g., 2301.07041.pdf
├── youtube/
│   └── <video_title>.mp4       # e.g., "Introduction to Transformers.mp4"
├── bilibili/
│   └── <video_title>.mp4       # e.g., "教程视频.mp4"
└── metadata/
    └── <ground_id>.json        # Download metadata

Workflow

Step 1. Parse Input URL

Detect the URL type:

If URL contains "arxiv.org":
    → Use arxiv downloader
    → Ground ID = arxiv paper ID (e.g., "2301.07041")

If URL contains "youtube.com" or "youtu.be":
    → Use YouTube downloader
    → Ground ID = sanitized video title or video ID

If URL contains "bilibili.com" or "b23.tv":
    → Use Bilibili downloader
    → Ground ID = BV ID (e.g., "BV1xx411c7JZ")

Step 2. Download Content

For arXiv Papers

bash

python .cursor/skills/remote-input/scripts/download_arxiv.py download "<url_or_id>" \
    --dir data/raw_inputs/remote/arxiv

Output:

json

{
  "success": true,
  "path": "data/raw_inputs/remote/arxiv/2301.07041.pdf",
  "paper_id": "2301.07041",
  "title": "Attention Is All You Need",
  "authors": ["Ashish Vaswani", ...],
  "abstract": "The dominant sequence transduction models...",
  "size_kb": 1024
}

For YouTube Videos

bash

python .cursor/skills/remote-input/scripts/download_video.py "<url>" \
    -o data/raw_inputs/remote/youtube \
    -q 720p

Output (normal - video with audio):

json

{
  "success": true,
  "path": "data/raw_inputs/remote/youtube/Video Title.mp4",
  "title": "Video Title",
  "video_id": "dQw4w9WgXcQ",
  "source": "youtube",
  "duration": 213,
  "uploader": "Rick Astley",
  "audio_path": null,
  "merge_failed": false
}

Output (merge failure - separate audio file):

json

{
  "success": true,
  "path": "data/raw_inputs/remote/youtube/Video Title.f136.mp4",
  "title": "Video Title",
  "video_id": "dQw4w9WgXcQ",
  "source": "youtube",
  "duration": 213,
  "uploader": "Rick Astley",
  "audio_path": "data/raw_inputs/remote/youtube/Video Title.f251.webm",
  "merge_failed": true
}

For Bilibili Videos

bash

python .cursor/skills/remote-input/scripts/download_video.py "<url>" \
    -o data/raw_inputs/remote/bilibili \
    -q 720p \
    -s  # 可选：下载字幕

Output (normal - video with audio):

json

{
  "success": true,
  "path": "data/raw_inputs/remote/bilibili/视频标题.mp4",
  "title": "视频标题",
  "video_id": "BV1xx411c7JZ",
  "source": "bilibili",
  "duration": 600,
  "uploader": "UP主名称",
  "audio_path": null,
  "merge_failed": false
}

Output (merge failure - separate audio file):

json

{
  "success": true,
  "path": "data/raw_inputs/remote/bilibili/视频标题.f136.mp4",
  "title": "视频标题",
  "video_id": "BV1xx411c7JZ",
  "source": "bilibili",
  "duration": 600,
  "uploader": "UP主名称",
  "audio_path": "data/raw_inputs/remote/bilibili/视频标题.f251.webm",
  "merge_failed": true
}

Note: Bilibili 视频需要登录 Cookie 才能下载高画质 (1080p+)。使用默认设置可下载 1080p 及以下画质。如需下载更高画质，请配置 --cookies-from-browser chrome 或提供 cookie 文件。

Step 3. Write Metadata

Save download metadata to:

data/raw_inputs/remote/metadata/<ground_id>.json

Example:

json

{
  "ground_id": "arxiv_2301.07041",
  "source_type": "arxiv",
  "source_url": "https://arxiv.org/abs/2301.07041",
  "downloaded_path": "data/raw_inputs/remote/arxiv/2301.07041.pdf",
  "downloaded_at": "2024-01-15T10:30:00Z",
  "metadata": {
    "title": "Attention Is All You Need",
    "authors": ["Ashish Vaswani", ...]
  }
}

Example (Bilibili):

json

{
  "ground_id": "bilibili_BV1xx411c7JZ",
  "source_type": "bilibili",
  "source_url": "https://bilibili.com/video/BV1xx411c7JZ",
  "downloaded_path": "data/raw_inputs/remote/bilibili/视频标题.mp4",
  "downloaded_at": "2024-01-15T10:30:00Z",
  "metadata": {
    "title": "视频标题",
    "uploader": "UP主名称"
  }
}

Step 4. Return Local Path

Return the local file path for downstream pipeline integration:

For one-report: Pass the local path as input_path
For input-router: The router will detect .pdf or .mp4 extension

Usage Examples

Example 1: arXiv Paper

text

Input: https://arxiv.org/abs/2301.07041

Workflow:
1. Download PDF to: data/raw_inputs/remote/arxiv/2301.07041.pdf
2. Write metadata: data/raw_inputs/remote/metadata/arxiv_2301.07041.json
3. Return: data/raw_inputs/remote/arxiv/2301.07041.pdf

Next: Pass to input-router → document-grounding → ...

Example 2: YouTube Video

text

Input: https://www.youtube.com/watch?v=dQw4w9WgXcQ

Workflow:
1. Download video to: data/raw_inputs/remote/youtube/Rick Astley - Never Gonna Give You Up.mp4
2. Write metadata: data/raw_inputs/remote/metadata/youtube_dQw4w9WgXcQ.json
3. Return: data/raw_inputs/remote/youtube/Rick Astley - Never Gonna Give You Up.mp4

Next: Pass to input-router → meeting-video-grounding → ...

Example 2b: Bilibili Video

text

Input: https://bilibili.com/video/BV1xx411c7JZ

Workflow:
1. Download video to: data/raw_inputs/remote/bilibili/视频标题.mp4
2. Write metadata: data/raw_inputs/remote/metadata/bilibili_BV1xx411c7JZ.json
3. Return: data/raw_inputs/remote/bilibili/视频标题.mp4

Next: Pass to input-router → meeting-video-grounding → ...

Supported Bilibili URL formats:

https://bilibili.com/video/BV1xx411c7JZ (BV号)
https://www.bilibili.com/video/av12345678 (AV号)
https://b23.tv/abc123 (短链接)

Example 3: Via one-report Skill

text

Use the one-report skill with a remote URL:

Input:
- input_path: https://arxiv.org/abs/2301.07041
- output_formats: md,pdf

The one-report skill will:
1. Detect URL input (not local file)
2. Invoke remote-input to download
3. Continue pipeline with local file path

Integration Points

Integration with one-report

When input_path is a URL:

Detect URL pattern
Invoke remote-input skill
Use returned local path for downstream pipeline

Integration with input-router

Update routing table to support URLs:

Input	Route To
URL matching `arxiv.org`	`remote-input` → `document-grounding`
URL matching `youtube.com`, `youtu.be`	`remote-input` → `meeting-video-grounding`
URL matching `bilibili.com`, `b23.tv`	`remote-input` → `meeting-video-grounding`

Error Handling

Error	Handling
Invalid URL format	Report unsupported URL pattern
arXiv ID not found	Report "Paper not found on arXiv"
YouTube video unavailable	Report "Video unavailable"
Bilibili video unavailable	Report "Video unavailable or requires login"
Download timeout	Retry once, then fail with error
Network error	Report network connectivity issue

Show full SKILL.md (242 more words)Show less

Merge Failure Handling

When video download produces separate video and audio files (merge failure):

Detection

The downloader uses ffprobe to check if the main video file contains an audio track:

If no audio track detected → triggers merge attempt
If merge fails → marks as merge_failed: true

Auto-Recovery Flow

1. Download produces: video.mp4 (no audio) + audio.webm
2. Detect: video.mp4 lacks audio
3. Attempt: ffmpeg merge video.mp4 + audio.webm → video.mp4
4. If merge succeeds → use video.mp4 (merge_failed: false)
5. If merge fails → use audio.webm directly (merge_failed: true)

Downstream Impact

When merge_failed: true, the downloader returns:

json

{
  "success": true,
  "path": "video.mp4",
  "audio_path": "audio.webm",
  "merge_failed": true
}

The pipeline should:

Use audio_path for transcription instead of video
Skip video-only processing
Continue with meeting-audio-grounding using the audio file

Supported Audio Formats for Transcription

WhisperX (used by audio_structuring) supports:

.mp3, .wav, .m4a, .aac, .ogg
.webm (also supported via ffmpeg backend)

The audio file at audio_path can be directly passed to meeting-audio-grounding.

Ground ID Generation

Source	Ground ID Format	Example
arXiv	`arxiv_<paper_id>`	`arxiv_2301.07041`
YouTube	`youtube_<video_id>`	`youtube_dQw4w9WgXcQ`
Bilibili	`bilibili_<video_id>`	`bilibili_BV1xx411c7JZ`

Quality Settings

Note: For Bilibili, default settings download up to 1080p from domestic servers. Higher quality (4K/8K) requires login cookies configuration.

For YouTube

Quality	Description	Use Case
`best`	Highest available	High quality presentations
`1080p`	Full HD	Standard videos
`720p`	HD	Balanced quality/size
`480p`	SD	Limited bandwidth
`360p`	Low	Slow connections
`worst`	Lowest available	Testing only

Default quality: 720p (recommended for most use cases)

For Bilibili

Quality	Description	Notes
Default	Up to 1080p	Works without login
4K/8K	Highest available	Requires login cookies
Audio only	MP3 extraction	Works without login

For higher quality downloads:

bash

# Use browser cookies
--cookies-from-browser chrome

# Or provide cookie file
--cookies /path/to/cookies.txt

Audio-Only Option

For YouTube videos that are primarily audio (podcasts, lectures):

bash

python scripts/download_video.py "<url>" -a

Downloads audio as MP3 to the youtube directory.

Files

SKILL.md and 2 other files (scripts) in .cursor/skills/remote-input of gaotiexinqu/OneResearchClaw.

SKILL.md
scripts/download_arxiv.py
scripts/download_video.py

Open the folder on GitHubat commit 37e86c6

Compare with similar skills

Remote Input next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Remote Input compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Remote Input this skillgaotiexinqu/OneResearchClaw	450	—	~2.8k	Automated safety check: Pass	MIT	5 mo ago
Larksnap FetchAmbroseX/larksnap	300	—	~923	Automated safety check: Pass	Apache-2.0	1 mo ago
Qiaomu Opencli Usagejoeseesun/qiaomu-opencli-skills	993	—	~3k	Automated safety check: Pass	MIT	6 mo ago
Superlearnraiyanyahya/Superlearn	121	—	~6.2k	Automated safety check: Pass	MIT	1 mo ago
Insane Searchfivetaku/gptaku-plugins-codex	128	—	~5.6k	Automated safety check: Pass	MIT	1 mo ago
Agent ReachPanniantong/Agent-Reach	93k	1 repos	~1.4k	Automated safety check: Pass	MIT	yesterday

Similar skills

Larksnap Fetch
AmbroseX/larksnap
把飞书/Lark 文档或普通网页抓取并保存到本地，也能编辑用户有权限的飞书文档，并用已登录浏览器执行一次网页搜索。用户要求下载、导出、抓取、写入飞书文档，或联网搜索资料/参考链接时使用本技能，即使没有提到 larksnap。底层通过技能自带 daemon 桥接已登录的 larksnap 浏览器扩展；arXiv 使用独立脚本。
300 GitHub stars~923 tokensUpdated 1 mo ago
Research & ScienceAuto-check passed
Qiaomu Opencli Usage
joeseesun/qiaomu-opencli-skills
A skill your agent uses when running OpenCLI commands to interact with websites (Bilibili, Twitter, Reddit, Xiaohongshu, etc.), desktop apps (Cursor, Notion), or public APIs (HackerNews, arXiv).
993 GitHub stars~3k tokensUpdated 6 mo ago
Research & ScienceAuto-check passed
Superlearn
raiyanyahya/Superlearn
Build an interactive learning board on any topic. An agent skill from raiyanyahya/Superlearn.
121 GitHub stars~6.2k tokensUpdated 1 mo ago
Research & ScienceAuto-check passed
Insane Search
fivetaku/gptaku-plugins-codex
Adaptive access for blocked websites — tries every method until one works.
128 GitHub stars~5.6k tokensUpdated 1 mo ago
Research & ScienceAuto-check passed
Agent Reach
Panniantong/Agent-Reach
Routes web research and platform lookups across 16 sites, including Twitter, Reddit, YouTube, Bilibili, Xiaohongshu and GitHub, through one command-line tool.
93k GitHub starsUsed in 1 repo~1.4k tokens
Productivity & AutomationAuto-check passed
Multi-Source to NotebookLM Processor
joeseesun/qiaomu-anything-to-notebooklm
Collects content from WeChat articles, web pages, YouTube, podcasts, documents and more, uploads it to NotebookLM and generates podcasts, slides or mind maps.
6.2k GitHub stars~3.6k tokensUpdated 4 days ago
Knowledge ManagementAuto-check passed

Questions about Remote Input

What does Remote Input do?

Download remote content (arxiv papers, YouTube videos, Bilibili videos) to local storage and route to downstream grounding pipeline. Remote Input is an agent skill from gaotiexinqu/OneResearchClaw. Download remote content (arxiv papers, YouTube videos, Bilibili videos) to local storage and route to downstream grounding pipeline.

When should I use Remote Input?

Remote Input fits situations like: user provides a URL instead of a local file path.

How do I install Remote Input in Claude Code?

Run `npx skills add gaotiexinqu/OneResearchClaw --skill remote-input -a claude-code`. Or copy the skill folder (.cursor/skills/remote-input in gaotiexinqu/OneResearchClaw) into .claude/skills/remote-input in your project. Claude Code loads it when a task matches its description.

How do I install Remote Input in Codex?

Run `npx skills add gaotiexinqu/OneResearchClaw --skill remote-input -a codex`. Or copy the skill folder (.cursor/skills/remote-input in gaotiexinqu/OneResearchClaw) into .agents/skills/remote-input in your project. Codex loads it when a task matches its description.

Can I use Remote Input in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gaotiexinqu/OneResearchClaw --skill remote-input -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/remote-input, .gemini/skills/remote-input, .github/skills/remote-input and .opencode/skills/remote-input in your project.

What does Remote Input need to run?

Going by SKILL.md and its folder, Remote Input needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Remote Input access the network?

SKILL.md names 5 domains. In commands or code: bilibili.com, arxiv.org, youtube.com, b23.tv and youtu.be; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Remote Input safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Remote Input use?

Remote Input is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Remote Input use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Remote Input?

Skills that share tags, products or a category with Remote Input: Larksnap Fetch (AmbroseX/larksnap, 300 stars), Qiaomu Opencli Usage (joeseesun/qiaomu-opencli-skills, 993 stars), Superlearn (raiyanyahya/Superlearn, 121 stars) and Insane Search (fivetaku/gptaku-plugins-codex, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Remote Input?

gaotiexinqu (a GitHub user) maintains it in gaotiexinqu/OneResearchClaw, which has 450 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on May 9, 2026.

Source: gaotiexinqu/OneResearchClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Remote Input

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Remote Input

What This Skill Does

Supported URL Types

Directory Structure

Workflow

Step 1. Parse Input URL

Step 2. Download Content

For arXiv Papers

For YouTube Videos

For Bilibili Videos

Step 3. Write Metadata

Step 4. Return Local Path

Usage Examples

Example 1: arXiv Paper

Example 2: YouTube Video

Example 2b: Bilibili Video

Example 3: Via one-report Skill

Integration Points

Integration with one-report

Integration with input-router

Error Handling

Merge Failure Handling

Detection

Auto-Recovery Flow

Downstream Impact

Supported Audio Formats for Transcription

Ground ID Generation

Quality Settings

For YouTube

For Bilibili

Bilibili Login Configuration (Optional)

Audio-Only Option

Files

Compare with similar skills

Similar skills

More from gaotiexinqu/OneResearchClaw

Related

Questions about Remote Input