No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Panniantong · AI Tool · ★ 66
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is xfetch safe to install? View the security audit →
xfetch 🚀 Fast X/Twitter CLI scraper. No API keys. Just cookies and go. Features 🔐 Cookie-based auth - Extract from Chrome, Firefox, Safari, Arc, Brave 🔄 Auto-refresh query IDs - Survives X frontend deployments 📊 Multi-format output - JSON, JSONL, CSV, SQLite ⚡ Session pooling - High-volume scraping with rate limit awareness 🛡️ Anti-detection - Transaction IDs, request jitter, feature flags 🔁 Resumable pagination - Pick up where you left off 🌐 Proxy support - Rotation for residential IPs Install Quick Start Commands Authentication bash xfetch auth check # Show active auth xfetch auth extract --browser chrome # Extract co
| Stars | 66 |
| Forks | 13 |
| Language | TypeScript |
| Category | AI Tool |
| Quality Score | 69.0686235346307/100 |
| Last Updated | 2026-03-12 |
| Created | 2026-02-27 |
| Platforms | cli, node |
| Est. Tokens | ~15k |
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xfetch is Fast X/Twitter CLI scraper. No API keys. Just cookies and go.. It is categorized as a AI Tool with 66 GitHub stars.
xfetch is primarily written in TypeScript.
You can find installation instructions and usage details in the xfetch GitHub repository at github.com/Panniantong/xfetch. The project has 66 stars and 13 forks, indicating an active community.
The top alternatives to xfetch on Agent Skills Hub include redesigned-pancake, claude-code-voice-skill, maui-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: