Agent skill

Feedgrab Setup

by iBigQiang in iBigQiang/feedgrab

Install and configure feedgrab — the universal content grabber.

MITAuto-check: warnings

Install Feedgrab Setup

The automated check flagged lines worth reading first. See the safety section below.

skills CLI
$ npx skills add iBigQiang/feedgrab --skill feedgrab-setup -a claude-code

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

GitHub CLI
$ gh skill install iBigQiang/feedgrab feedgrab-setup --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/iBigQiang/feedgrab.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/feedgrab-setup .claude/skills/feedgrab-setup && 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/

Facts

Skill name
feedgrab-setup
GitHub stars
614
Token cost
~1.4k tokens
SKILL.md length
236 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

Install and configure feedgrab — the universal content grabber.

  • Works in 6 steps: Check Python Environment → Install feedgrab → Interactive Setup → …
  • User needs to set up feedgrab
  • SKILL.md covers Trigger, Step 1: Check Python Environment, Step 2: Install feedgrab and Step 3: Interactive Setup, plus 5 more sections
  • Calls pip, python3 and python; needs GROQ_API_KEY and YOUTUBE_API_KEY

What it does

Feedgrab Setup is an agent skill from iBigQiang/feedgrab. Install and configure feedgrab — the universal content grabber. Use when user needs to set up feedgrab, configure API keys, login to platforms, or diagnose issues.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Python. The repository describes itself as: Universal content grabber — fetch, normalize, and digest content from 7+ platforms (WeChat, XHS, X/Twitter, YouTube, Bilibili, Telegram, RSS). The licence is MIT.

When your agent uses it

  • User needs to set up feedgrab
  • Configure API keys
  • Login to platforms
  • Diagnose issues

Example prompts

  • “/feedgrab-setup”

Requirements

  • Python 3
  • A credential in YOUTUBE_API_KEY
  • A credential in GITHUB_TOKEN

Workflow steps

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

  1. Check Python Environment
  2. Install feedgrab
  3. Interactive Setup
  4. Platform Login (as needed)
  5. Verify Installation
  6. Test

What it can do on your machine

Read from SKILL.md and the folder at commit 04291ba. 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

    Shell commands in SKILL.md call:

    • pip
    • python3
    • python
    • pip3
    • playwright

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip and pip3, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GROQ_API_KEY
    • YOUTUBE_API_KEY
    • GITHUB_TOKEN
    • FEISHU_APP_SECRET

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Feedgrab Setup loads about 1.4k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 236 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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: warnings

The automated check found patterns that need a careful read before installing.

  • NoteMentions a .env fileSKILL.md:59
    5. **Creates `.env`** file with your configuration
  • WarningMentions a credentials file (SSH keys, cloud or package-manager tokens)SKILL.md:97
    ing with remote debugging enabled, set `CHROME_CDP_LOGIN=true` in `.env` to extract cookies from your existing browser s
  • NoteMentions a .env fileSKILL.md:122
    ## Advanced Configuration (.env)

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from iBigQiang/feedgrab at commit 04291ba, republished under its MIT licence (© iBigQiang). 236 words, ~1,378 tokens.

Download SKILL.mdSave it as .claude/skills/feedgrab-setup/SKILL.md (or your agent's skills folder).
name
feedgrab-setup
description
Install and configure feedgrab — the universal content grabber. Use when user needs to set up feedgrab, configure API keys, login to platforms, or diagnose issues.
disable-model-invocation
true

feedgrab Setup Guide

Install feedgrab, configure API keys, login to platforms, and verify everything works.

Trigger

  • /feedgrab-setup
  • "Install feedgrab"
  • "配置 feedgrab"
  • When /feedgrab reports "feedgrab not found"

Step 1: Check Python Environment

bash
python3 --version 2>/dev/null || python --version 2>/dev/null
pip3 --version 2>/dev/null || pip --version 2>/dev/null

Requires Python ≥ 3.10. If not available, tell user to install Python first.

Step 2: Install feedgrab

bash
pip install feedgrab[all]

This installs the full package with all optional dependencies (browser, stealth, Twitter, WeChat, Xiaohongshu, Feishu, Telegram).

For a minimal install:

bash
pip install feedgrab                     # Core only (Jina fallback)
pip install feedgrab[browser]            # + Playwright
pip install feedgrab[twitter]            # + Twitter GraphQL
pip install feedgrab[stealth]            # + Anti-detection (patchright, curl_cffi)

After installation, verify:

bash
feedgrab --help

Step 3: Interactive Setup

bash
feedgrab setup

This runs a 5-step interactive wizard:

  1. Output directory — where to save fetched content (default: ./output/)
  2. Jina API — free, no key needed
  3. YouTube API Key — optional, for YouTube search
  4. GitHub Token — optional, for higher rate limits
  5. Creates .env file with your configuration

Step 4: Platform Login (as needed)

For platforms requiring cookies/session:

bash
# Twitter/X — opens browser for login
feedgrab login twitter

# Xiaohongshu — opens browser for login
feedgrab login xhs

# WeChat MP backend — opens browser for login (session valid ~4 days)
feedgrab login wechat

# Feishu — opens browser for login
feedgrab login feishu

# Reddit — opens browser for login if Cloudflare/private content needs it
feedgrab login reddit

# LinuxDo / Discourse — opens browser for login
feedgrab login linuxdo

# IDCFlare / Discourse — opens browser for login
feedgrab login idcflare

# KDocs (金山文档) — opens browser for login
feedgrab login kdocs

# Zhihu (知乎) — opens browser for login
feedgrab login zhihu

# FlowUs (息流) — opens browser for login
feedgrab login flowus

Tip: If you have Chrome running with remote debugging enabled, set CHROME_CDP_LOGIN=true in .env to extract cookies from your existing browser session without re-login.

Step 5: Verify Installation

bash
# Full diagnostic
feedgrab doctor

# Platform-specific diagnostic
feedgrab doctor x          # Twitter/X
feedgrab doctor xhs        # Xiaohongshu
feedgrab doctor mpweixin   # WeChat
feedgrab doctor feishu     # Feishu
feedgrab doctor reddit     # Reddit

Step 6: Test

bash
# Test with a simple URL (no login needed)
feedgrab https://github.com/iBigQiang/feedgrab

If the output .md file is generated successfully, setup is complete!

Advanced Configuration (.env)

Key environment variables (all optional):

env
# Output
OUTPUT_DIR=./output

# Proxy (optional)
FEEDGRAB_PROXY_ENABLED=false
FEEDGRAB_PROXY_URL=
FEEDGRAB_NO_PROXY=127.0.0.1,localhost

# Twitter
X_BOOKMARKS_ENABLED=true
X_USER_TWEETS_ENABLED=true
X_LIST_TWEETS_ENABLED=true
X_DOWNLOAD_MEDIA=true
X_SEARCH_LANG=zh
X_SEARCH_SORT=live

# Xiaohongshu
XHS_USER_NOTES_ENABLED=true
XHS_SEARCH_ENABLED=true
XHS_DOWNLOAD_MEDIA=true
XHS_FETCH_COMMENTS=true
XHS_PINIA_ENABLED=true

# WeChat
MPWEIXIN_DOWNLOAD_MEDIA=true
MPWEIXIN_FETCH_COMMENTS=true

# YouTube
YOUTUBE_API_KEY=your_key_here
YTDLP_COOKIES_BROWSER=chrome

# GitHub
GITHUB_TOKEN=your_token_here

# Feishu
FEISHU_APP_ID=your_app_id
FEISHU_APP_SECRET=your_secret
FEISHU_DOWNLOAD_IMAGES=true
FEISHU_CDP_ENABLED=false

# FlowUs
FLOWUS_CDP_ENABLED=true
FLOWUS_DOWNLOAD_IMAGES=false      # false=signed online URLs, true=local attachments

# LinuxDo / Discourse
LINUXDO_CDP_ENABLED=true
LINUXDO_PAGE_LOAD_TIMEOUT=15000
LINUXDO_REPLY_MODE=author

# IDCFlare / Discourse
IDCFLARE_CDP_ENABLED=true
IDCFLARE_PAGE_LOAD_TIMEOUT=15000
IDCFLARE_REPLY_MODE=author

# Reddit
REDDIT_CDP_ENABLED=true
REDDIT_REPLY_MODE=top          # top/tree/all
REDDIT_SEARCH_ENABLED=true
REDDIT_SEARCH_SORT=relevance
REDDIT_SEARCH_TIME_RANGE=all

# KDocs (金山文档)
KDOCS_CDP_ENABLED=false
KDOCS_DOWNLOAD_IMAGES=false

# Youdao Note (有道云笔记)
YOUDAO_DOWNLOAD_IMAGES=false

# Zhihu (知乎)
ZHIHU_CDP_ENABLED=false

# Bilibili subtitles / transcription
BILIBILI_SUBTITLE_LANG=zh-CN
BILIBILI_SUBTITLE_WHISPER=false

# Xiaoyuzhou / Ximalaya podcasts (require GROQ_API_KEY for transcription)
XIAOYUZHOU_WHISPER=true
XIMALAYA_WHISPER=true
GROQ_API_KEY=your_groq_key

# Paywall bypass (300+ news sites)
PAYWALL_ENABLED=true
PAYWALL_USE_AMP=true
PAYWALL_USE_ARCHIVE=true
PAYWALL_USE_GOOGLE_CACHE=true

# Stealth / CDP Cookie extraction
CHROME_CDP_LOGIN=true
CHROME_CDP_PORT=9222

See .env.example in the feedgrab repo for the full list.

Troubleshooting

IssueSolution
pip install failsTry pip install --user feedgrab[all] or use a virtualenv
Playwright not workingRun playwright install chromium
patchright not workingRun patchright install chromium
Cookie expiredRe-run feedgrab login <platform>
Windows encoding errorsfeedgrab auto-fixes UTF-8, but ensure Python ≥ 3.10

© iBigQiang, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/feedgrab-setup of iBigQiang/feedgrab.

Open the folder on GitHubat commit 04291ba

Compare with similar skills

Feedgrab Setup 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.

Feedgrab Setup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Feedgrab Setup this skilliBigQiang/feedgrab614—~1.4kAutomated safety check: WarnMIT
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
PDF Processinganthropics/skills180k48 repos~2kAutomated safety check: PassProprietary
NotebookLM Research AssistantPleasePrompto/notebooklm-skill7.8k14 repos~2.4kAutomated safety check: NotesMIT
Manim Video Productionbrowser-use/video-use28k6 repos~3kAutomated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

Similar skills

  • MCP Server Builder

    anthropics/skills

    Official

    Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.

    180k GitHub starsUsed in 63 repos~2.3k tokens
    Agent WorkflowsAuto-check passed
  • PDF Processing

    anthropics/skills

    Official

    Handles everyday PDF jobs in Python and on the command line: extract text and tables, merge, split, rotate, watermark, fill forms, encrypt and OCR.

    180k GitHub starsUsed in 48 repos~2k tokens
    Documents & OfficeAuto-check passed
  • NotebookLM Research Assistant

    PleasePrompto/notebooklm-skill

    Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.

    7.8k GitHub starsUsed in 14 repos~2.4k tokens
    Knowledge ManagementAuto-check: notes
  • Manim Video Production

    browser-use/video-use

    Produces math and technical explainer videos with Manim Community Edition: concept animations, equation derivations, algorithm walkthroughs and data stories.

    28k GitHub starsUsed in 6 repos~3k tokens
    Media & CreativeAuto-check passed
  • Code Review Checklist

    shareAI-lab/learn-claude-code

    Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.

    78k GitHub starsUsed in 5 repos~1.1k tokens
    DevelopmentAuto-check passed
  • PPT Master

    hugohe3/ppt-master

    Generates editable PowerPoint decks, rebuilds slides from images, fills .pptx templates and polishes existing presentations through routed workflows.

    58k GitHub starsUsed in 1 repo~2.5k tokens
    Documents & OfficeAuto-check passed

More from iBigQiang/feedgrab

  • Analyzer

    iBigQiang/feedgrab

    Content Analyzer — any content (URL, text, transcript) into structured analysis report with actionable insights.

    614 GitHub stars~1k tokensUpdated 1 mo ago
    Auto-check passed
  • Feedgrab

    iBigQiang/feedgrab

    Universal content grabber — fetch any URL and return structured Markdown.

    614 GitHub stars~2k tokensUpdated 1 mo ago
    Auto-check passed
  • Feedgrab Batch

    iBigQiang/feedgrab

    Batch content grabber — bulk fetch bookmarks, user tweets, search results, author notes, wiki pages, subreddit posts, and more from X/Twitter, Xiaohongshu, Reddit, WeChat, YouTube, Feishu, Zhihu.

    614 GitHub stars~1.8k tokensUpdated 1 mo ago
    Auto-check passed
  • Video

    iBigQiang/feedgrab

    Video & Podcast Digest — send a video/podcast link, get full transcript + structured summary.

    614 GitHub stars~1.6k tokensUpdated 1 mo ago
    Auto-check passed

Works with

Questions about Feedgrab Setup

What does Feedgrab Setup do?

Install and configure feedgrab — the universal content grabber. Feedgrab Setup is an agent skill from iBigQiang/feedgrab. Install and configure feedgrab — the universal content grabber.

When should I use Feedgrab Setup?

Feedgrab Setup fits situations like: user needs to set up feedgrab; configure API keys; login to platforms; diagnose issues.

How do I install Feedgrab Setup in Claude Code?

Run `npx skills add iBigQiang/feedgrab --skill feedgrab-setup -a claude-code`. Or copy the skill folder (skills/feedgrab-setup in iBigQiang/feedgrab) into .claude/skills/feedgrab-setup in your project. Claude Code loads it when a task matches its description.

How do I install Feedgrab Setup in Codex?

Run `npx skills add iBigQiang/feedgrab --skill feedgrab-setup -a codex`. Or copy the skill folder (skills/feedgrab-setup in iBigQiang/feedgrab) into .agents/skills/feedgrab-setup in your project. Codex loads it when a task matches its description.

Can I use Feedgrab Setup 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 iBigQiang/feedgrab --skill feedgrab-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feedgrab-setup, .gemini/skills/feedgrab-setup, .github/skills/feedgrab-setup and .opencode/skills/feedgrab-setup in your project.

What does Feedgrab Setup need to run?

Going by SKILL.md and its folder, Feedgrab Setup needs the command-line tools its instructions call (pip, python3, python, pip3 and playwright) and credentials named GROQ_API_KEY, YOUTUBE_API_KEY, GITHUB_TOKEN and FEISHU_APP_SECRET. Our summary lists: Python 3; A credential in YOUTUBE_API_KEY; A credential in GITHUB_TOKEN.

Does Feedgrab Setup access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Feedgrab Setup safe to install?

Our automated static check of SKILL.md flagged 1 warning(s): mentions a credentials file (ssh keys, cloud or package-manager tokens). Read the flagged lines before installing; the check is not a guarantee either way.

What licence does Feedgrab Setup use?

Feedgrab Setup 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 Feedgrab Setup use?

About 1.4k tokens (SKILL.md is roughly 5.5k 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 Feedgrab Setup?

Skills that share tags, products or a category with Feedgrab Setup: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Feedgrab Setup?

iBigQiang (a GitHub user) maintains it in iBigQiang/feedgrab, which has 614 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 8, 2026.

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