Agent skill

Feedgrab Batch

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.

MITAuto-check passedProductivity & Automation

Install Feedgrab Batch

skills CLI

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

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

GitHub CLI

$ gh skill install iBigQiang/feedgrab feedgrab-batch --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-batch .claude/skills/feedgrab-batch && 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 "feedgrab-batch" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/feedgrab-batch into .claude/skills/feedgrab-batch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedgrab-batch", 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/iBigQiang/feedgrab/tree/main/skills/feedgrab-batch

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 iBigQiang/feedgrab --skill feedgrab-batch -a codex

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

GitHub CLI

$ gh skill install iBigQiang/feedgrab feedgrab-batch --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/feedgrab-batch .agents/skills/feedgrab-batch && 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 "feedgrab-batch" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/feedgrab-batch into .agents/skills/feedgrab-batch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedgrab-batch", 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 iBigQiang/feedgrab --skill feedgrab-batch -a cursor

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

GitHub CLI

$ gh skill install iBigQiang/feedgrab feedgrab-batch --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/feedgrab-batch .cursor/skills/feedgrab-batch && 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 "feedgrab-batch" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/feedgrab-batch into .cursor/skills/feedgrab-batch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedgrab-batch", 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/iBigQiang/feedgrab.git --path skills/feedgrab-batch

--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 iBigQiang/feedgrab --skill feedgrab-batch -a gemini-cli

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

GitHub CLI

$ gh skill install iBigQiang/feedgrab feedgrab-batch --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/iBigQiang/feedgrab.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/feedgrab-batch .gemini/skills/feedgrab-batch && 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 "feedgrab-batch" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/feedgrab-batch into .gemini/skills/feedgrab-batch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedgrab-batch", 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 iBigQiang/feedgrab feedgrab-batch

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 iBigQiang/feedgrab --skill feedgrab-batch -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/feedgrab-batch .github/skills/feedgrab-batch && 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 "feedgrab-batch" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/feedgrab-batch into .github/skills/feedgrab-batch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedgrab-batch", 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 iBigQiang/feedgrab --skill feedgrab-batch -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 iBigQiang/feedgrab feedgrab-batch --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/feedgrab-batch .opencode/skills/feedgrab-batch && 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 "feedgrab-batch" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/feedgrab-batch into .opencode/skills/feedgrab-batch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedgrab-batch", 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: feedgrab-batch
GitHub stars: 614
Token cost: ~1.8k tokens
SKILL.md length: 281 words
Files: 1
Skills in repo: 5
Repo updated: Sep 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

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.

Works in 2 steps: feedgrab installed (which feedgrab) → Platform-specific cookies/API keys…
User wants to batch/bulk fetch
SKILL.md covers Trigger, Prerequisites, Command Reference and Environment Variables Quick…, plus 2 more sections
Reaches x.com and xiaohongshu.com; needs YOUTUBE_API_KEY and FEISHU_APP_SECRET

What it does

Feedgrab Batch is an agent skill from 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. Use when user wants to batch/bulk fetch, search keywords, or grab all posts from an account.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Messaging and chat bots and Social media posts. It works with Reddit, X (Twitter), Xiaohongshu and Feishu (Lark). 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 wants to batch/bulk fetch
Search keywords
Grab all posts from an account

Example prompts

“/feedgrab-batch”

Requirements

A credential in YOUTUBE_API_KEY
A credential in FEISHU_APP_SECRET

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

feedgrab installed (which feedgrab)
Platform-specific cookies/API keys configured (see each command below)

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
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
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:
- x.com
- xiaohongshu.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- YOUTUBE_API_KEY
- FEISHU_APP_SECRET
- TWITTERAPI_IO_KEY
- GITHUB_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Feedgrab Batch loads about 1.8k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 281 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~76
When it runs · the whole SKILL.md, loaded when a task matches: ~1.8k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from iBigQiang/feedgrab at commit 04291ba, republished under its MIT licence (© iBigQiang). 281 words, ~1,762 tokens.

Download SKILL.mdSave it as .claude/skills/feedgrab-batch/SKILL.md (or your agent's skills folder).

name: feedgrab-batch
description: 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. Use when user wants to batch/bulk fetch, search keywords, or grab all posts from an account.

feedgrab-batch — Batch Content Grabber

Bulk fetch content from any platform — bookmarks, user timelines, keyword search, album pages, wiki trees.

Trigger

Activate when user mentions batch/bulk operations:

/feedgrab-batch <command> <args>
"Grab all my bookmarks"
"批量抓取这个用户的推文"
"搜索关键词 AI Agent"
"抓取这个公众号的所有文章"
"下载这个飞书知识库"

Prerequisites

feedgrab installed (which feedgrab)
Platform-specific cookies/API keys configured (see each command below)

If not ready, suggest /feedgrab-setup.

Command Reference

X/Twitter

Bookmarks

bash

# Requires: X_BOOKMARKS_ENABLED=true + feedgrab login twitter (primary session only)
feedgrab https://x.com/i/history                            # All bookmarks (current X URL)
feedgrab https://x.com/i/history/bookmarks/2015311287715340624  # Specific folder
feedgrab https://x.com/i/bookmarks                          # Legacy URL, still accepted

User Tweets

bash

# Requires: X_USER_TWEETS_ENABLED=true + feedgrab login twitter
feedgrab https://x.com/username                              # All tweets
X_USER_TWEETS_SINCE=2026-01-01 feedgrab https://x.com/username  # Since date
# Auto browser search supplement when >800 tweets

List Tweets

bash

# Requires: X_LIST_TWEETS_ENABLED=true + feedgrab login twitter
feedgrab https://x.com/i/lists/LIST_ID                       # Last 1 day
X_LIST_TWEETS_DAYS=7 feedgrab https://x.com/i/lists/LIST_ID  # Last 7 days
X_LIST_TWEETS_SUMMARY=true feedgrab https://x.com/i/lists/LIST_ID  # + summary table

Keyword Search (x-so)

bash

feedgrab x-so "AI Agent"                          # Search tweets
feedgrab x-so "AI Agent" --days 7                 # Last 7 days
feedgrab x-so "AI Agent" --min-faves 100          # Min 100 likes
feedgrab x-so WorkBuddy --lang zh+zxx --sort all  # Chinese tweets + Article cards, merged Latest/Top
feedgrab x-so "claude,cursor,copilot" --merge     # Multi-keyword merged table
feedgrab x-so "AI Agent" --raw                    # Raw query syntax

Output: Markdown table (sorted by views) + CSV at output/X/search/

Subreddit Batch

bash

feedgrab reddit-sub MachineLearning --sort hot --limit 25
feedgrab reddit-sub ChatGPT --sort top --limit 50

Keyword Search (reddit-so)

bash

feedgrab reddit-so "codex" --sort comments --time all --limit 10
feedgrab reddit-so "AI Agent" --subreddit ChatGPT --sort top --time week
REDDIT_SEARCH_SAVE_POSTS=true feedgrab reddit-so "open source" --limit 5

Output: Markdown summary at output/Reddit/. Use REDDIT_REPLY_MODE=tree|all when deep-fetching posts.

Xiaohongshu (小红书)

Author Notes

bash

# Requires: XHS_USER_NOTES_ENABLED=true + feedgrab login xhs
feedgrab https://www.xiaohongshu.com/user/profile/USER_ID
XHS_USER_NOTES_SINCE=2026-01-01 feedgrab https://www.xiaohongshu.com/user/profile/USER_ID

Search Results

bash

# Requires: XHS_SEARCH_ENABLED=true + feedgrab login xhs
feedgrab "https://www.xiaohongshu.com/search_result?keyword=开学第一课&source=web_explore_feed"

Keyword Search (xhs-so)

bash

feedgrab xhs-so "AI Agent"                          # Search notes
feedgrab xhs-so "AI Agent" --sort popular            # By popularity
feedgrab xhs-so "AI Agent" --type video              # Videos only
feedgrab xhs-so "AI Agent" --save                    # Also save individual .md
feedgrab xhs-so "claude,cursor" --merge              # Multi-keyword merged

Output: Markdown table (sorted by likes) + CSV at output/XHS/search/

WeChat (微信公众号)

By Account (mpweixin-id)

bash

# Requires: feedgrab login wechat (MP backend session, ~4 day validity)
feedgrab mpweixin-id "公众号名称"
MPWEIXIN_ID_SINCE=2026-01-01 feedgrab mpweixin-id "公众号名称"  # Since date

Album / Collection (mpweixin-zhuanji)

bash

feedgrab mpweixin-zhuanji "ALBUM_URL"                # No login needed
MPWEIXIN_ZHUANJI_SINCE=2026-01-01 feedgrab mpweixin-zhuanji "ALBUM_URL"

Sogou Search (mpweixin-so)

bash

feedgrab mpweixin-so "关键词"                         # Search via Sogou
feedgrab mpweixin-so "关键词" --limit 30              # Max 30 results

YouTube

Search (ytb-so)

bash

# Requires: YOUTUBE_API_KEY
feedgrab ytb-so "machine learning"                    # Search videos
feedgrab ytb-so "AI" --order viewCount               # Sort by views
feedgrab ytb-so "AI" --channel @3blue1brown          # Channel-specific
feedgrab ytb-so "AI" --days 30                       # Last 30 days

Download

bash

feedgrab ytb-dlv "VIDEO_URL"    # Download video (MP4)
feedgrab ytb-dla "VIDEO_URL"    # Download audio (MP3)
feedgrab ytb-dlz "VIDEO_URL"    # Download subtitles (SRT)

Feishu/Lark (飞书)

Wiki Batch

bash

# Requires: FEISHU_APP_ID + FEISHU_APP_SECRET
feedgrab feishu-wiki "WIKI_SPACE_URL"

Zhihu (知乎)

Keyword Search (zhihu-so)

bash

# Requires: feedgrab login zhihu (for full content)
feedgrab zhihu-so "AI Agent"                          # Search Q&A + articles
feedgrab zhihu-so "AI Agent" --sort hot               # By popularity
feedgrab zhihu-so "AI Agent" --limit 20               # Max 20 results
feedgrab zhihu-so "AI Agent" --days 30                # Last 30 days
feedgrab zhihu-so "claude,cursor" --merge             # Multi-keyword merged

Output: Markdown table (sorted by upvotes) + CSV at output/Zhihu/search/

Environment Variables Quick Reference

Platform	Required Variables	How to Get
Twitter (basic)	Cookie via `feedgrab login twitter`	Login in browser
Twitter (paid API)	`TWITTERAPI_IO_KEY`	twitterapi.io
Reddit	Optional Cookie via `feedgrab login reddit`; `REDDIT_SEARCH_*`, `REDDIT_REPLY_MODE`	Login only if Cloudflare/private content requires it
Xiaohongshu	Cookie via `feedgrab login xhs`	Login in browser
WeChat batch	Cookie via `feedgrab login wechat`	Login MP backend
YouTube	`YOUTUBE_API_KEY`	Google Cloud Console
GitHub	`GITHUB_TOKEN` (optional)	GitHub Settings
Feishu	`FEISHU_APP_ID` + `FEISHU_APP_SECRET`	Feishu Open Platform
Zhihu	Cookie via `feedgrab login zhihu`	Login in browser

Resume After Interruption

All batch commands support checkpoint resume — if interrupted, just re-run the same command. Already fetched items are skipped via dedup index.

Tips

Use feedgrab doctor <platform> to diagnose configuration issues
Media download: set X_DOWNLOAD_MEDIA=true / XHS_DOWNLOAD_MEDIA=true / MPWEIXIN_DOWNLOAD_MEDIA=true
Multi-account cookie rotation for Twitter: put extra cookies in sessions/x_2.json, x_3.json

Files

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

Open the folder on GitHubat commit 04291ba

Compare with similar skills

Feedgrab Batch 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 Batch compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Feedgrab Batch this skilliBigQiang/feedgrab	614	—	~1.8k	Automated safety check: Pass	MIT	1 mo ago
Content CollectorvigorX777/content-collector-skill	240	—	~2k	Automated safety check: Pass	None	6 mo ago
Agent ReachEdisonChenAI/agent-reach	106	1 repos	~1.3k	Automated safety check: Pass	MIT	7 mo ago
Web To Markdownrookie-ricardo/erduo-skills	935	—	~894	Automated safety check: Pass	MIT	2 mo ago
Last30days CnJesseovo/last30days-skill-cn	1.9k	—	~2.4k	Automated safety check: Notes	MIT	2 days ago
Viral Titlekangarooking/kangarooking-skills	657	—	~1.7k	Automated safety check: Pass	None	1 mo ago

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Questions about Feedgrab Batch

What does Feedgrab Batch do?

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. Feedgrab Batch is an agent skill from 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.

When should I use Feedgrab Batch?

Feedgrab Batch fits situations like: user wants to batch/bulk fetch; search keywords; grab all posts from an account.

How do I install Feedgrab Batch in Claude Code?

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

How do I install Feedgrab Batch in Codex?

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

Can I use Feedgrab Batch 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-batch -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-batch, .gemini/skills/feedgrab-batch, .github/skills/feedgrab-batch and .opencode/skills/feedgrab-batch in your project.

What does Feedgrab Batch need to run?

Going by SKILL.md and its folder, Feedgrab Batch needs credentials named YOUTUBE_API_KEY, FEISHU_APP_SECRET, TWITTERAPI_IO_KEY and GITHUB_TOKEN. Our summary lists: A credential in YOUTUBE_API_KEY; A credential in FEISHU_APP_SECRET.

Does Feedgrab Batch access the network?

SKILL.md names 2 domains. In commands or code: x.com and xiaohongshu.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Feedgrab Batch 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. Review the folder before installing.

What licence does Feedgrab Batch use?

Feedgrab Batch 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 Batch use?

About 1.8k tokens (SKILL.md is roughly 7k 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 Batch?

Skills that share tags, products or a category with Feedgrab Batch: Content Collector (vigorX777/content-collector-skill, 240 stars), Agent Reach (EdisonChenAI/agent-reach, 106 stars), Web To Markdown (rookie-ricardo/erduo-skills, 935 stars) and Last30days Cn (Jesseovo/last30days-skill-cn, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Feedgrab Batch?

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.

Install Feedgrab Batch

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

feedgrab-batch — Batch Content Grabber

Trigger

Prerequisites

Command Reference

X/Twitter

Bookmarks

User Tweets

List Tweets

Keyword Search (x-so)

Reddit

Subreddit Batch

Keyword Search (reddit-so)

Xiaohongshu (小红书)

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Resume After Interruption

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