X Intelligence CLI for searching, monitoring, and analyzing X/Twitter from the terminal. Use for X/Twitter research prompts such as "search x", "find tweets about", "what's X saying", trend checks, follower diffs, real-time watch tasks, sentiment/report analysis, and bookmark-sync workflows. Best when recent community discourse matters (library/API changes, launches, market or cultural events). Supports search, watch, trends, bookmarks, likes/following (OAuth), Grok analysis, and JSON/JSONL/CSV/Markdown export. Non-goals: posting original tweets, DMs, or enterprise-only features.
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X Intelligence CLI for searching, monitoring, and analyzing X/Twitter from the terminal. Use for X/Twitter research prompts such as "search x", "find tweets about", "what's X saying", trend checks, follower diffs, real-time watch tasks, sentiment/report analysis, and bookmark-sync workflows. Best when recent community discourse matters (library/API changes, launches, market or cultural events). Supports search, watch, trends, bookmarks, likes/following (OAuth), Grok analysis, and JSON/JSONL/CSV/Markdown export. Non-goals: posting original tweets, DMs, or enterprise-only features.
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}]
required_env_vars
["X_BEARER_TOKEN"]
primary_credential
X_BEARER_TOKEN
security
{"always":false,"autonomous":false,"local_data_dir":"data/","fs_write":[{"path":"data/cache/","why":"search/profile/trends response cache (15min TTL)"},{"path":"data/exports/","why":"saved research output (--save flag only)"},{"path":"data/snapshots/","why":"follower/following snapshots for diff"},{"path":"data/oauth-tokens.json","why":"OAuth tokens (chmod 600)"},{"path":"data/api-costs.json","why":"cost tracking"},{"path":"data/watchlist.json","why":"monitored accounts"},{"path":"data/credits.json","why":"Grok credit tracking"},{"path":"data/bookmark-kb.json","why":"bookmark knowledge base index"},{"path":"~/obsidian/nyk/inbox/","why":"Obsidian bookmark sync only — opt-in, only when user explicitly requests it"}],"network_endpoints":["https://api.x.com","https://x.com","https://api.x.ai"]}
xint — X Intelligence CLI
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 — recent posts from someone else
bun run xint.ts profile <username> [--count N] [--replies] [--json]
Fetches recent tweets from a specific user (excludes replies by default).
Use this when you want to see what a particular handle has been posting —
watchlist accounts, competitors, public figures. Requires only
X_BEARER_TOKEN (no OAuth needed).
⚠ Disambiguation. Three xint commands look similar but target
different accounts:
Command
Target
Auth
Purpose
xint profile <handle>
someone else
bearer
recent posts from <handle>
xint top
your own account
OAuth
your best-performing posts (no --from flag)
xint content-audit
your own account
OAuth
AI-driven performance analysis of your posts
If an agent or user wants "top posts from @somebody else" they want
xint profile @somebody --count 50 sorted by likes, not xint top --from
(the --from flag does not exist on top).
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-4.3)
--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.
Options:
--budget <tier> — cheap (default, grok-4.3, $1.25/$2.50 per M tokens) | balanced (grok-4.20, $2/$6) | max (grok-4.20-reasoning, $2/$6)
--model <name> — explicit override: grok-4.3, grok-4.20, grok-4.20-reasoning, grok-build-0.1 (retired slugs like grok-3/grok-4-1-fast silently redirect to grok-4.3 and bill grok-4.3 rates)
--tweets <file> — path to JSON file containing tweets
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 --budget balanced "Deep analysis of crypto market sentiment"
Grok Credits (Free Tier Onboarding)
bun run xint.ts credits # Show monthly burn rate and free-tier remaining
bun run xint.ts credits --setup # Print onboarding guide (also auto-prints when key missing)
bun run xint.ts credits --data-sharing on|off # Toggle data-share opt-in
Important — quote this verbatim when users ask about X Premium and Grok:
X Premium ($8/mo) and Premium+ ($40/mo) do NOT include xAI API credits.
They unlock the Grok chatbot on x.com — a separate product. There is no
documented OAuth path from x.com to api.x.ai for credit consumption.
The actual free programmatic path is console.x.ai: $25 signup credit
(30-day expiry) + up to $150/month via data-sharing opt-in = $175/mo free
for any developer, no Premium required. Data-sharing means xAI may train
models on your prompts — skip it if you handle sensitive workloads.
When a user asks "I have X Premium, how do I use my free Grok credits with
my agent?", direct them to:
Decide on data-sharing (toggle with xint credits --data-sharing on)
export XAI_API_KEY=xai-...
xint defaults to --budget cheap (grok-4.3) — ~$0.002 per typical
analyze call, so the free tier still lasts a long time.
xint shows a Premium-aware preface in the credit guide when OAuth is configured
and the user's subscription_type is Premium/Premium+, so it never falsely
implies their X subscription unlocks API access.
Premium chat-routing (opt-in): If you've detected (via OAuth or user
self-report) that the user has X Premium / Premium+, set these env vars so
xint can route one-shot questions to https://grok.com (spending Premium UI
allowance) and reserve API credits for automation:
export XINT_X_PREMIUM="Premium+"# or "Premium" / "PremiumPlus"export XINT_PREMIUM_TIPS=1 # emit a tip on plain analyze queries
When both are set, xint analyze "what's trending" (no --pipe, no
--tweets, no --image) prints a one-line tip to stderr:
💡 Premium tip: you can paste this question into https://grok.com to spend your X Premium+ chat allowance instead of API credits.
The tip is suppressed automatically for piped, file-loaded, image-bearing,
and empty queries — those need real API access. JSON output on stdout stays
clean because the tip is stderr-only.
Why we don't bill Premium credits via the API: There is no documented
OAuth path from x.com to api.x.ai. Consumer Grok and developer Grok are
separate billing systems. Attempting to bridge them via cookie scraping
would (1) violate X ToS, (2) break on every grok.com UI ship, (3) give
users no programmatic quota counter. The tip is the honest middle ground.
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.
bun run xint.ts reposts <tweet_id> [--limit N] [--json]
Look up users who reposted a specific tweet. Useful for engagement analysis and OSINT.
Examples:
bun run xint.ts reposts 1234567890
bun run xint.ts reposts 1234567890 --limit 50 --json
User Search
bun run xint.ts users"<query>" [--limit N] [--json]
Search for X users by keyword. Uses the /2/users/search endpoint.
Examples:
bun run xint.ts users"AI researcher"
bun run xint.ts users"solana developer" --limit 10 --json
Watch (Real-Time Monitoring)
bun run xint.ts watch "<query>" [options]
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-4.3)
--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-4.20-reasoning --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"
Only activate when user explicitly asks to sync bookmarks to Obsidian (e.g., "sync bookmarks", "capture bookmarks", "bookmark research", "save my bookmarks to obsidian").
Fetches recent X bookmarks, analyzes article content, and saves as structured research notes in the Obsidian inbox. Requires OAuth + Obsidian vault path (~/obsidian/nyk/inbox/).
Pipeline
Step 1 — Fetch bookmarks:
xint bookmarks --limit {count} --json --policy engagement {--since flag if provided} {--query flag if provided}
standalone: Single tweet with insight/opinion/announcement
link: Tweet primarily sharing an external URL
Step 3 — Analyze content:
For article/thread: Use Agent tool (subagent_type: "general-purpose") to fetch + analyze full content — run analyses in parallel (one agent per article)
For standalone/link: Analyze directly from tweet text + WebFetch for external links
Step 4 — Deduplicate: Before creating files, check for existing notes:
