feedgrab: Universal content grabber — fetch, normalize, and digest content from 7+ platforms

by iBigQiang · AI Tool · ★ 623

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: Content Syndication

How to install feedgrab

npx skills add iBigQiang/feedgrab
git clone https://github.com/iBigQiang/feedgrab.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 52/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars623
Forks67
LanguagePython
CategoryAI Tool
LicenseMIT
Quality Score52/100
Open Issues11
Last Updated2026-10-24
Created2026-02-26
Platformspython
Est. Tokens~22k

About feedgrab

feedgrab English | 中文 万能内容抓取器 — 从任意平台抓取、转录和消化内容。 给它一个 URL(文章、视频、播客、推文),返回结构化的内容。支持 CLI 命令行、Python 库、MCP 服务器和 Claude Code 技能四种使用方式。 项目来源:feedgrab 是在 @runesleo 的 x-reader 和 @dotey(宝玉)的 baoyu-danger-x-to-markdown Claude Code 技能基础上融合升级而来。继承了 x-reader 的多平台架构,融合了宝玉 skill 逆向工程的 X/Twitter GraphQL 深度抓取能力。 它能做什么 Python 层负责文本抓取和 YouTube 字幕提取。Claude Code 技能(可选)提供完整的 Whisper 视频/播客转录和 AI 内容分析功能。 三个层级 feedgrab...

Compatible Skills

These tools work well together with feedgrab for enhanced workflows:

  • x-tweet-fetcher — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • notebooklm-skill — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)
  • xhs_matrix_system — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
  • WeChat-MCP — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

feedgrab alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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