Video Downloader
kangarooking/kangarooking-skills
Download or open videos and recover platform captions, audio transcripts, keyframes, screen text, visual facts, and editing observations as a plain multimodaltranscript.md.
Universal content grabber — fetch any URL and return structured Markdown.
Install Feedgrab
$ npx skills add iBigQiang/feedgrab --skill feedgrab -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install iBigQiang/feedgrab feedgrab --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/feedgrab .claude/skills/feedgrab && rm -rf skills-srcUse ~/.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/
Install the "feedgrab" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/feedgrab into .claude/skills/feedgrab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedgrab", 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 install https://github.com/iBigQiang/feedgrab/tree/main/skills/feedgrabType 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.
$ npx skills add iBigQiang/feedgrab --skill feedgrab -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install iBigQiang/feedgrab feedgrab --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/feedgrab .agents/skills/feedgrab && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "feedgrab" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/feedgrab into .agents/skills/feedgrab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedgrab", 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.
$ npx skills add iBigQiang/feedgrab --skill feedgrab -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install iBigQiang/feedgrab feedgrab --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/feedgrab .cursor/skills/feedgrab && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "feedgrab" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/feedgrab into .cursor/skills/feedgrab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedgrab", 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 https://github.com/iBigQiang/feedgrab.git --path skills/feedgrab--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add iBigQiang/feedgrab --skill feedgrab -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install iBigQiang/feedgrab feedgrab --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/feedgrab .gemini/skills/feedgrab && rm -rf skills-srcUse ~/.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/
Install the "feedgrab" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/feedgrab into .gemini/skills/feedgrab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedgrab", 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.
$ gh skill install iBigQiang/feedgrab feedgrabInstalls 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).
$ npx skills add iBigQiang/feedgrab --skill feedgrab -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/feedgrab .github/skills/feedgrab && rm -rf skills-srcUse ~/.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/
Install the "feedgrab" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/feedgrab into .github/skills/feedgrab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedgrab", 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.
$ npx skills add iBigQiang/feedgrab --skill feedgrab -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install iBigQiang/feedgrab feedgrab --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/feedgrab .opencode/skills/feedgrab && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "feedgrab" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/feedgrab into .opencode/skills/feedgrab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedgrab", 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- GitHub stars
- 614
- Token cost
- ~2k tokens
- SKILL.md length
- 748 words
- Files
- 1
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- MIT
At a glance
Universal content grabber — fetch any URL and return structured Markdown.
- Works in 3 steps: Fetch Content → Locate Output File → Read and Present
- User provides a URL and wants its content extracted
- SKILL.md covers Trigger, Prerequisites Check, Supported Platforms and Pipeline, plus 3 more sections
- Calls pip; needs GITHUB_TOKEN and FEISHU_APP_SECRET
What it does
Feedgrab is an agent skill from iBigQiang/feedgrab. Universal content grabber — fetch any URL and return structured Markdown. Supports X/Twitter, WeChat, Xiaohongshu, YouTube, GitHub, LinuxDo/IDCFlare/Discourse, Feishu/Lark, KDocs, FlowUs, Youdao Note, Zhihu, Bilibili (with subtitle transcription), Xiaoyuzhou podcasts, Ximalaya podcasts, Telegram, HackerNews, Medium, Reddit, Weibo, Douyin, Zsxq (Knowledge Planet), RSS, 300+ paywall news sites, and any web page. Use when user provides a URL and wants its content extracted.
Its SKILL.md is about 2k 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 Media & Creative, covering Messaging and chat bots and Transcription. It works with X (Twitter), Feishu (Lark), WeChat and GitHub. 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 provides a URL and wants its content extracted
- Tasks that involve Messaging and chat bots
- Tasks that involve Transcription
Example prompts
- “/feedgrab”
Requirements
- Python 3
- A credential in GITHUB_TOKEN
- A credential in FEISHU_APP_SECRET
Workflow steps
3 steps, taken from the step headings in SKILL.md.
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
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, 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:
GITHUB_TOKENFEISHU_APP_SECRETGROQ_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Feedgrab loads about 2k tokens when it runs. Until then it costs about 121 tokens; SKILL.md has 748 words of instructions outside code blocks.
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). 748 words, ~1,982 tokens.
Download SKILL.mdSave it as
.claude/skills/feedgrab/SKILL.md (or your agent's skills folder).- name
- feedgrab
- description
- Universal content grabber — fetch any URL and return structured Markdown. Supports X/Twitter, WeChat, Xiaohongshu, YouTube, GitHub, LinuxDo/IDCFlare/Discourse, Feishu/Lark, KDocs, FlowUs, Youdao Note, Zhihu, Bilibili (with subtitle transcription), Xiaoyuzhou podcasts, Ximalaya podcasts, Telegram, HackerNews, Medium, Reddit, Weibo, Douyin, Zsxq (Knowledge Planet), RSS, 300+ paywall news sites, and any web page. Use when user provides a URL and wants its content extracted.
feedgrab — Universal Content Grabber
Give it a URL, get back structured Markdown. Supports 17+ platforms with deep extraction.
Trigger
Activate when user provides a URL and wants content fetched/extracted/read:
/feedgrab <URL>- "Grab this article"
- "Read this tweet/post"
- "抓取这个链接"
- Any URL from supported platforms
Prerequisites Check
Before fetching, verify feedgrab is installed:
which feedgrab 2>/dev/null || command -v feedgrab 2>/dev/nullIf NOT installed, tell the user:
feedgrab is not installed. Run `/feedgrab-setup` or manually:
pip install feedgrab[all]
feedgrab setupThen stop — do not proceed without feedgrab.
Supported Platforms
| Platform | URL Pattern | Method |
|---|---|---|
| X/Twitter | x.com/*/status/*, twitter.com/* | GraphQL → FxTwitter → Syndication → oEmbed → Jina → Playwright |
| WeChat (微信公众号) | mp.weixin.qq.com/* | Playwright JS evaluate → Jina |
| Xiaohongshu (小红书) | xiaohongshu.com/explore/*, xhslink.com/* | API (xhshow) → Pinia Store injection → Jina → Playwright |
| YouTube | youtube.com/watch?v=*, youtu.be/*, Shorts | InnerTube API → yt-dlp subtitles → Groq Whisper |
| GitHub | github.com/*/* | REST API (Chinese README priority + subdirectory scan) |
| LinuxDo / Discourse | linux.do/t/* | Discourse topic JSON API → CDP → Playwright in-page fetch → Jina |
| IDCFlare / Discourse | idcflare.com/t/* | Discourse topic JSON API → CDP → Playwright in-page fetch → Jina |
| Feishu/Lark (飞书) | feishu.cn/docx/*, feishu.cn/wiki/* | Open API → CDP → Playwright PageMain → Jina |
| KDocs (金山文档) | kdocs.cn/l/* | Playwright ProseMirror DOM (virtual scroll + CDP) |
| FlowUs (息流) | flowus.cn/share/*, flowus.cn/*/<uuid> | HTTP API → CDP/Launch browser → Jina; online signed images or local attachments |
| Youdao Note (有道云笔记) | share.note.youdao.com/* | JSON API → Playwright iframe → Jina |
| Zhihu (知乎) | zhihu.com/question/*/answer/*, zhuanlan.zhihu.com/p/* | API v4 → Playwright CDP/DOM → Jina |
| Bilibili (B站) | bilibili.com/video/*, b23.tv/* | API metadata + 3-tier subtitle fallback (v2 → WBI v2 → Whisper) |
| Xiaoyuzhou (小宇宙) | xiaoyuzhoufm.com/episode/* | SSR __NEXT_DATA__ + Groq Whisper transcription |
| Ximalaya (喜马拉雅) | ximalaya.com/sound/*, m.ximalaya.com/sound/* | Web Revision API + canPlay degradation + Groq Whisper |
| Telegram | t.me/* | Telethon |
| HackerNews | news.ycombinator.com/item?id=* | Firebase API v0 (item.json + first-layer comments + hn top/new/best/ask/show/jobs list batch) |
| Medium | medium.com/*, *.medium.com/* | Jina Reader → JSON-LD articleBody → Stealth Browser; user/publication batch via RSS |
reddit.com/r/*/comments/*, redd.it/* | old.reddit.com .json + self-UA → CDP → Stealth Playwright + saved session → Jina (REDDIT_REPLY_MODE=top/tree/all; batch/search via reddit-sub / reddit-so) | |
weibo.com/*, weibo.cn/*, m.weibo.cn/status/* | m.weibo.cn /statuses/show + container/getIndex + SSR $render_data fallback (SUB cookie optional) | |
| Douyin (抖音) | douyin.com/video/*, v.douyin.com/* (short link) | CDP → Stealth Playwright + saved session → SSR RENDER_DATA → Jina (browser-side signing, no algorithm break) |
| Zsxq (知识星球) | articles.zsxq.com/id_*.html, wx.zsxq.com/group/*/topic/*, t.zsxq.com/* (short) | HTTP cookie (articles SSR HTML / api.zsxq.com topic JSON) → CDP → Stealth Playwright → Jina (auth-walled, login required) |
| RSS | RSS/Atom feed URLs | feedparser |
| Paywall news (300+) | NYT/WSJ/FT/Economist/Bloomberg... | JSON-LD → Googlebot/Bingbot UA → AMP → EU IP → archive.today → Google Cache → Jina |
| Any web page | Any other URL | JSON-LD pre-scan → Jina Reader fallback |
Pipeline
Step 1: Fetch Content
feedgrab "$ARGUMENTS"The CLI auto-detects the platform and routes to the appropriate fetcher.
Step 2: Locate Output File
feedgrab saves output to OUTPUT_DIR (default: ./output/). Check the CLI output for the saved file path, typically:
output/X/author_date：title.mdoutput/mpweixin/author_date：title.mdoutput/XHS/author_date：title.mdoutput/YouTube/author_date：title.mdoutput/GitHub/author_date：title.mdoutput/LinuxDo/author_date：title.mdoutput/IDCFlare/author_date：title.mdoutput/Feishu/author_date：title.mdoutput/KDocs/author_date：title.mdoutput/FlowUs/author_date：title.mdoutput/NoteYouDao/author_date：title.mdoutput/Zhihu/author_date：title.mdoutput/Bilibili/author_date：title.mdoutput/Xiaoyuzhou/author_date：title.mdoutput/Ximalaya/author_date：title.mdoutput/Web/author_date：title.md(paywall / generic pages)
Step 3: Read and Present
Read the output .md file and present the content to the user. The file includes:
- YAML front matter (title, source, author, published, likes, tags, etc.)
- Full article/tweet/post content in Markdown
- Images (as remote URLs or local paths if media download is enabled)
Show full SKILL.md (292 more words)Show less
Clipboard Mode
If the user says "grab from clipboard" or the URL contains & (which breaks PowerShell):
feedgrab clipThis reads the URL from the system clipboard.
Error Handling
| Error | Solution |
|---|---|
feedgrab: command not found | Run /feedgrab-setup |
| Cookie expired / 401 / 403 | feedgrab login <platform> to refresh |
| Jina timeout (30s) | feedgrab auto-retries with Playwright |
| Rate limit (429) | feedgrab auto-rotates cookies if configured |
OUTPUT_DIR not set | feedgrab setup to configure |
Tips
- For Twitter deep extraction (views, bookmarks, threads): configure cookies via
feedgrab login twitter - For WeChat articles: no login needed for single articles
- For Xiaohongshu:
pip install xhshowfor API mode (faster, no browser needed) - For GitHub: set
GITHUB_TOKENfor higher rate limits (5000/hr vs 60/hr) - For LinuxDo / Discourse:
feedgrab login linuxdoif the topic is private or the site requires a browser session / Cloudflare cookie - For IDCFlare / Discourse:
feedgrab login idcflareif the topic is private or the site requires a browser session / Cloudflare cookie - For Discourse forums: default reply mode is OP + topic-author follow-up replies only; switch with
LINUXDO_REPLY_MODE/IDCFLARE_REPLY_MODE(author/all/none) - For Reddit: use
REDDIT_REPLY_MODE=treefor nested replies orREDDIT_REPLY_MODE=allfor extra morechildren expansion; use/feedgrab-batchforreddit-sosearch - For Feishu: set
FEISHU_APP_ID+FEISHU_APP_SECRETfor Open API access - For KDocs:
feedgrab login kdocsto save session (or enableKDOCS_CDP_ENABLED=trueto reuse running Chrome) - For FlowUs:
feedgrab login flowusfor paid/private docs; default images use signed online URLs, setFLOWUS_DOWNLOAD_IMAGES=truefor local attachments - For Zhihu:
feedgrab login zhihuto save session (enables full answer content) - For Bilibili subtitles: free tier (
player/v2+ WBI) works out of the box; setBILIBILI_SUBTITLE_WHISPER=truefor Whisper fallback on videos without subtitles - For Xiaoyuzhou / Ximalaya: set
GROQ_API_KEYfor Whisper transcription (free tier = metadata + shownotes only) - For paywall sites:
PAYWALL_ENABLED=trueby default, no extra config - Run
feedgrab doctorto diagnose issues
© 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 of iBigQiang/feedgrab.
Open the folder on GitHubat commit 04291ba
Compare with similar skills
Feedgrab 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Feedgrab this skilliBigQiang/feedgrab | 614 | — | ~2k | Automated safety check: Pass | MIT | |
| Video Downloaderkangarooking/kangarooking-skills | 661 | — | ~8.3k | Automated safety check: Pass | None | |
| Agent ReachEdisonChenAI/agent-reach | 110 | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Lingzaoatian-create/lingzao-skill | 296 | 1 repos | ~8.8k | Automated safety check: Pass | MIT | |
| Ra Video DownloadPluviobyte/rnskill | 1.6k | — | ~861 | Automated safety check: Notes | Custom licence | |
| Last30days CnJesseovo/last30days-skill-cn | 1.9k | — | ~2.4k | Automated safety check: Notes | MIT |
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Install and configure feedgrab — the universal content grabber.
Related
Questions about Feedgrab
What does Feedgrab do?
Universal content grabber — fetch any URL and return structured Markdown. Feedgrab is an agent skill from iBigQiang/feedgrab. Universal content grabber — fetch any URL and return structured Markdown.
When should I use Feedgrab?
Feedgrab fits situations like: user provides a URL and wants its content extracted; tasks that involve Messaging and chat bots; tasks that involve Transcription.
How do I install Feedgrab in Claude Code?
Run `npx skills add iBigQiang/feedgrab --skill feedgrab -a claude-code`. Or copy the skill folder (skills/feedgrab in iBigQiang/feedgrab) into .claude/skills/feedgrab in your project. Claude Code loads it when a task matches its description.
How do I install Feedgrab in Codex?
Run `npx skills add iBigQiang/feedgrab --skill feedgrab -a codex`. Or copy the skill folder (skills/feedgrab in iBigQiang/feedgrab) into .agents/skills/feedgrab in your project. Codex loads it when a task matches its description.
Can I use Feedgrab 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 -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, .gemini/skills/feedgrab, .github/skills/feedgrab and .opencode/skills/feedgrab in your project.
What does Feedgrab need to run?
Going by SKILL.md and its folder, Feedgrab needs the command-line tools its instructions call (pip) and credentials named GITHUB_TOKEN, FEISHU_APP_SECRET and GROQ_API_KEY. Our summary lists: Python 3; A credential in GITHUB_TOKEN; A credential in FEISHU_APP_SECRET.
Does Feedgrab 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 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 use?
Feedgrab 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 use?
About 2k tokens (SKILL.md is roughly 7.9k 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?
Skills that share tags, products or a category with Feedgrab: Video Downloader (kangarooking/kangarooking-skills, 661 stars), Agent Reach (EdisonChenAI/agent-reach, 110 stars), Lingzao (atian-create/lingzao-skill, 296 stars) and Ra Video Download (Pluviobyte/rnskill, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Feedgrab?
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.