X Intelligence CLI — search, analyze, and engage on X/Twitter from the terminal. Use when: (1) user says "x research", "search x for", "search twitter for", "what are people saying about", "what's twitter saying", "check x for", "x search", "search x", "find tweets about", "monitor x for", "track followers", (2) user is working on something where recent X discourse would provide useful context (new library releases, API changes, product launches, cultural events, industry drama), (3) user wants to find what devs/experts/community thinks about a topic, (4) user needs real-time monitoring ("watch"), (5) user wants AI-powered analysis ("analyze", "sentiment", "report"). Also supports: bookmarks, likes, following (read/write), trending topics, Grok AI analysis, and cost tracking. Export as JSON, JSONL (pipeable), CSV, or Markdown. Non-goals: Not for posting tweets, not for DMs, not for enterprise features. Requires OAuth for user-context operations (bookmarks, likes, following, diff).
X Intelligence CLI — search, analyze, and engage on X/Twitter from the terminal. Use when: (1) user says "x research", "search x for", "search twitter for", "what are people saying about", "what's twitter saying", "check x for", "x search", "search x", "find tweets about", "monitor x for", "track followers", (2) user is working on something where recent X discourse would provide useful context (new library releases, API changes, product launches, cultural events, industry drama), (3) user wants to find what devs/experts/community thinks about a topic, (4) user needs real-time monitoring ("watch"), (5) user wants AI-powered analysis ("analyze", "sentiment", "report"). Also supports: bookmarks, likes, following (read/write), trending topics, Grok AI analysis, and cost tracking. Export as JSON, JSONL (pipeable), CSV, or Markdown. Non-goals: Not for posting tweets, not for DMs, not for enterprise features. Requires OAuth for user-context operations (bookmarks, likes, following, diff).
credentials
[{"name":"X_BEARER_TOKEN","description":"X API v2 bearer token for search, profile, thread, tweet, trends","required":true},{"name":"XAI_API_KEY","description":"xAI API key for Grok analysis, article fetching, sentiment, x-search, collections","required":false},{"name":"XAI_MANAGEMENT_API_KEY","description":"xAI Management API key for collections management","required":false},{"name":"X_CLIENT_ID","description":"X OAuth 2.0 client ID for user-context operations (bookmarks, likes, following, diff)","required":false}]
General-purpose agentic research over X/Twitter. Decompose any research question into targeted searches, iteratively refine, follow threads, deep-dive linked content, and synthesize into a sourced briefing.
For X API details (endpoints, operators, response format): read references/x-api.md.
Security Considerations
This skill requires sensitive credentials. Follow these guidelines:
Credentials
X_BEARER_TOKEN: Required for X API. Treat as a secret - prefer exported environment variables (optional project-local .env)
XAI_API_KEY: Optional, needed for AI analysis. Also a secret
X_CLIENT_ID: Optional, needed for OAuth. Less sensitive but don't expose publicly
XAI_MANAGEMENT_API_KEY: Optional, for collections management
File Writes
This skill writes to its own data/ directory: cache, exports, snapshots, OAuth tokens
OAuth tokens stored with restrictive permissions (chmod 600)
Review exported data before sharing - may contain sensitive search queries
Webhooks
watch and stream can send data to webhook endpoints
Remote endpoints must use https:// (http:// is accepted only for localhost/loopback)
--jsonl — one JSON object per line (optimized for Unix pipes: | jq, | tee)
--csv — CSV output for spreadsheet analysis
--markdown — markdown output for research docs
Auto-adds -is:retweet unless query already includes it. All searches display estimated API cost.
Examples:
bun run xint.ts search "AI agents" --sort likes --limit 10
bun run xint.ts search "from:elonmusk" --sort recent
bun run xint.ts search "(opus 4.6 OR claude) trading" --pages 2 --save
bun run xint.ts search "$BTC (revenue OR fees)" --min-likes 5
bun run xint.ts search "AI agents" --quick
bun run xint.ts search "AI agents" --quality --quick
bun run xint.ts search "solana memecoins" --sentiment --limit 20
bun run xint.ts search "startup funding" --csv > funding.csv
bun run xint.ts search "AI" --jsonl | jq 'select(.metrics.likes > 100)'
Profile
bun run xint.ts profile <username> [--count N] [--replies] [--json]
Fetches recent tweets from a specific user (excludes replies by default).
Thread
bun run xint.ts thread <tweet_id> [--pages N]
Fetches full conversation thread by root tweet ID.
Single Tweet
bun run xint.ts tweet <tweet_id> [--json]
Article (Full Content Fetcher)
bun run xint.ts article <url> [--json] [--full] [--ai <text>]
Fetches and extracts full article content from any URL using xAI's web_search tool (Grok reads the page). Returns clean text with title, author, date, and word count. Requires XAI_API_KEY.
Also supports X tweet URLs — automatically extracts the linked article from the tweet and fetches it.
--full — return full article text without truncation (default truncates to ~5000 chars)
--model <name> — Grok model (default: grok-4)
--ai <text> — analyze article with Grok AI (passes content to analyze command)
Examples:
# Fetch article from URL
bun run xint.ts article https://example.com/blog/post
# Auto-extract article from X tweet URL and analyze
bun run xint.ts article "https://x.com/user/status/123456789" --ai "Summarize key takeaways"# Fetch + analyze with AI
bun run xint.ts article https://techcrunch.com/article --ai "What are the main points?"# Full content without truncation
bun run xint.ts article https://blog.example.com/deep-dive --full
Agent usage: When search results include tweets with article links, use article to read the full content. Search results now include article titles and descriptions from the X API (shown as 📰 lines), so you can decide which articles are worth a full read. Prioritize articles that:
Multiple tweets reference
Come from high-engagement tweets
Have relevant titles/descriptions from the API metadata
Bookmarks
bun run xint.ts bookmarks [options] # List bookmarked tweets
bun run xint.ts bookmark <tweet_id> # Bookmark a tweet
bun run xint.ts unbookmark <tweet_id> # Remove a bookmark
Bookmark list options:
--limit N — max bookmarks to display (default: 20)
--since <dur> — filter by recency (1h, 1d, 7d, etc.)
--query <text> — client-side text filter
--json — raw JSON output
--markdown — markdown output
--save — save to data/exports/
--no-cache — skip cache
Requires OAuth. Run auth setup first.
Likes
bun run xint.ts likes [options] # List your liked tweets
bun run xint.ts like <tweet_id> # Like a tweet
bun run xint.ts unlike <tweet_id> # Unlike a tweet
Likes list options: Same as bookmarks (--limit, --since, --query, --json, --no-cache).
Requires OAuth with like.read and like.write scopes.
Following
bun run xint.ts following [username] [--limit N] [--json]
Lists accounts you (or another user) follow. Defaults to the authenticated user.
Requires OAuth with follows.read scope.
Trends
bun run xint.ts trends [location] [options]
Fetches trending topics. Tries the official X API trends endpoint first; falls back to search-based hashtag frequency estimation if unavailable.
Options:
[location] — location name or WOEID number (default: worldwide)
--limit N — number of trends to display (default: 20)
--json — raw JSON output
--no-cache — bypass the 15-minute cache
--locations — list all known location names
Examples:
bun run xint.ts trends # Worldwide
bun run xint.ts trends us --limit 10 # US top 10
bun run xint.ts trends japan --json # Japan, JSON output
bun run xint.ts trends --locations # List all locations
Analyze (Grok AI)
bun run xint.ts analyze "<query>"# Ask Grok a question
bun run xint.ts analyze --tweets <file> # Analyze tweets from JSON file
bun run xint.ts search "topic" --json | bun run xint.ts analyze --pipe # Pipe search results
Uses xAI's Grok API (OpenAI-compatible). Requires XAI_API_KEY in env or .env.
--tweets <file> — path to JSON file containing tweets
--pipe — read tweet JSON from stdin
Examples:
bun run xint.ts analyze "What are the top AI agent frameworks right now?"
bun run xint.ts search "AI agents" --json | bun run xint.ts analyze --pipe "Which show product launches?"
bun run xint.ts analyze --model grok-3 "Deep analysis of crypto market sentiment"
xAI X Search (No Cookies/GraphQL)
For “recent sentiment / what X is saying” without using cookies/GraphQL, use xAI’s hosted x_search tool.
Script:
python3 scripts/xai_x_search_scan.py --help
xAI Collections Knowledge Base (Files + Collections)
Store first-party artifacts (reports, logs) in xAI Collections and semantic-search them later.
Polls a search query on an interval, shows only new tweets. Great for monitoring topics during catalysts, tracking mentions, or feeding live data into downstream tools.
--webhook <url> — POST new tweets as JSON to this URL (https:// required for remote hosts)
--jsonl — output as JSONL instead of formatted text (for piping to tee, jq, etc.)
--quiet — suppress per-poll headers (just show tweets)
--limit N — max tweets to show per poll
--sort likes|impressions|retweets|recent — sort order
Press Ctrl+C to stop — prints session stats (duration, total polls, new tweets found, total cost).
Examples:
bun run xint.ts watch "solana memecoins" --interval 5m
bun run xint.ts watch "@vitalikbuterin" --interval 1m
bun run xint.ts watch "AI agents" -i 30s --webhook https://hooks.example.com/ingest
bun run xint.ts watch "breaking news" --jsonl | tee -a feed.jsonl
Agent usage: Use watch when you need continuous monitoring of a topic. For one-off checks, use search instead. The watch command auto-stops if the daily budget is exceeded.
Diff (Follower Tracking)
bun run xint.ts diff <@username> [options]
Tracks follower/following changes over time using local snapshots. First run creates a baseline; subsequent runs show who followed/unfollowed since last check.
Options:
--following — track who the user follows (instead of their followers)
--history — view all saved snapshots for this user
--json — structured JSON output
--pages N — pages of followers to fetch (default: 5, 1000 per page)
Requires OAuth (auth setup first). Snapshots stored in data/snapshots/.
Examples:
bun run xint.ts diff @vitalikbuterin # First run: create snapshot
bun run xint.ts diff @vitalikbuterin # Later: show changes
bun run xint.ts diff @0xNyk --following # Track who you follow
bun run xint.ts diff @solana --history# View snapshot history
Agent usage: Use diff to detect notable follower changes for monitored accounts. Combine with watch for comprehensive account monitoring. Run periodically (e.g., daily) to build a history of follower changes.
Report (Intelligence Reports)
bun run xint.ts report "<topic>" [options]
Generates comprehensive markdown intelligence reports combining search results, optional sentiment analysis, and AI-powered summary via Grok.
Options:
--sentiment — include per-tweet sentiment analysis
--accounts @user1,@user2 — include per-account activity sections
--model <name> — Grok model for AI summary (default: grok-3-mini)
--pages N — search pages to fetch (default: 2)
--save — save report to data/exports/
Examples:
bun run xint.ts report "AI agents"
bun run xint.ts report "solana" --sentiment --accounts @aaboronkov,@rajgokal --save
bun run xint.ts report "crypto market" --model grok-3 --sentiment --save
Agent usage: Use report when the user wants a comprehensive briefing on a topic. This is the highest-level command — it runs search, sentiment, and analysis in one pass and produces a structured markdown report. For quick pulse checks, use search --quick instead.
Costs
bun run xint.ts costs # Today's costs
bun run xint.ts costs week # Last 7 days
bun run xint.ts costs month # Last 30 days
bun run xint.ts costs all # All time
bun run xint.ts costs budget # Show budget info
bun run xint.ts costs budget set 2.00 # Set daily limit to $2
bun run xint.ts costs reset # Reset today's data
Tracks per-call API costs with daily aggregates and configurable budget limits.
Watchlist
bun run xint.ts watchlist # Show all
bun run xint.ts watchlist add <user> [note] # Add account
bun run xint.ts watchlist remove <user> # Remove account
bun run xint.ts watchlist check # Check recent from all
Auth
bun run xint.ts auth setup [--manual] # Set up OAuth 2.0 (PKCE)
bun run xint.ts auth status # Check token status
bun run xint.ts auth refresh # Manually refresh tokens
When doing deep research (not just a quick search), follow this loop:
1. Decompose the Question into Queries
Turn the research question into 3-5 keyword queries using X search operators:
Core query: Direct keywords for the topic
Expert voices: from: specific known experts
Pain points: Keywords like (broken OR bug OR issue OR migration)
Positive signal: Keywords like (shipped OR love OR fast OR benchmark)
Links: url:github.com or url: specific domains
Noise reduction: -is:retweet (auto-added), add -is:reply if needed
2. Search and Extract
Run each query via CLI. After each, assess:
Signal or noise? Adjust operators.
Key voices worth searching from: specifically?
Threads worth following via thread command?
Linked resources worth deep-diving?
3. Follow Threads
When a tweet has high engagement or is a thread starter:
bun run xint.ts thread <tweet_id>
4. Deep-Dive Linked Content
Search results now include article titles and descriptions from the X API (shown as 📰 in output). Use these to decide which links are worth a full read, then fetch with xint article:
bun run xint.ts article <url> # terminal display
bun run xint.ts article <url> --json # structured output
bun run xint.ts article <url> --full # no truncation
Prioritize links that:
Multiple tweets reference
Come from high-engagement tweets
Have titles/descriptions suggesting depth (not just link aggregators)
Point to technical resources directly relevant to the question
5. Analyze with Grok
For complex research, pipe search results into Grok for synthesis:
bun run xint.ts search "topic" --json | bun run xint.ts analyze --pipe "Summarize themes and sentiment"
