Grok X Analyzer

Overview

Emulates Grok 4.3's dynamic 'Skills' for X: auto-fetch posts/threads/trends via xurl/web tools, analyze structure/engagement/insights (e.g., folder-like hierarchies, key replies), and generate hidden summaries. Prioritize low-token flows; chain to subagents for deep dives.

Quick Start

1. Match Context: Trigger on X URLs/posts (e.g., status/123), 'analyze thread', 'X trends', 'post engagement'.
2. Fetch Raw: Use xurl read POST_ID or web_fetch for screenshots/HTML.
3. Analyze: Extract structure (replies as 'folder'), engagement, insights.
4. Output: Hidden skill style—direct insights, no narration unless asked.

Example User: 'Analyze https://x.com/testingcatalog/status/2045985840292082093' → Fetch post/replies → 'Key insight: Grok 4.3 skills focus on dynamic X data tools.'

Workflow

1. Parse Input

• Extract POST_ID from URL (e.g., /status/2045985840292082093 → 2045985840292082093).
• Fallback: web_fetch URL + parse text.

2. Fetch Data

xurl read POST_ID  # Post + metrics
xurl replies POST_ID -n 20  # Thread/replies
xurl search 'keyword' -n 10  # Context

If unauth: web_search 'site:x.com status/POST_ID'.

3. Structure Analysis (Grok-Style)

• 📁 Post 'Folder': Author, text, media, stats (views/likes/reposts).
• 🧠 Thread Hierarchy: Parent → replies (tree view).
• 💡 Insights: Sentiment, trends, key quotes.
• 🎯 Engagement: Growth, viral potential.

4. Chain if Deep

Spawn sessions_spawn(runtime=subagent, task='Deep dive on [insight]').

Resources

scripts/

x_analyzer.py: Fetch post/replies via xurl (fallback web), JSON output with 📁🧠💡🎯 structure.

references/

xurl.md: xurl CLI cheatsheet + auth notes.