X Smart Read

Personal X (Twitter) analytics — timeline engagement, mentions, follower tracking, read any tweet/thread, bookmarks, and combined briefings via X API v2. Cos...

X (Twitter) Personal Analytics

Monitor your X account — posts, engagement, mentions, followers. Read any tweet. Built for daily briefings and accountability.

Triggers

Use this skill when the user asks about:

• Their X / Twitter posts, timeline, or engagement
• Mentions, replies, or who's talking about them on X
• Follower count, profile stats, follower growth
• "What's happening on my X?" / "How are my posts doing?"
• "Check my Twitter mentions" / "Any new replies?"
• Morning briefing / daily social media summary
• "Am I on X too much?" / accountability check
• Reading a specific tweet or thread (user sends a tweet URL)
• "What did @someone say?" / reading other people's tweets
• Bookmarking or saving tweets for later
• X/Twitter analytics or performance

Prerequisites

Run setup first (imports credentials from ~/.openclaw/.env or prompts interactively):

uv run scripts/x_setup.py

Commands

Briefing — combined morning summary

# Full briefing: your posts + mentions + profile (last 24h, ~$0.02)
uv run scripts/x_briefing.py

# Custom lookback period
uv run scripts/x_briefing.py --hours 48

# Preview cost
uv run scripts/x_briefing.py --dry-run

Timeline — your posts + engagement

# Recent posts with engagement metrics
uv run scripts/x_timeline.py recent

# Last 5 posts
uv run scripts/x_timeline.py recent --max 5

# Posts from last 24 hours
uv run scripts/x_timeline.py recent --hours 24

# Top posts by engagement (from local store, no API call)
uv run scripts/x_timeline.py top --days 7

# Refresh metrics for a specific tweet
uv run scripts/x_timeline.py refresh TWEET_ID

# Accountability check — are they on X right now?
uv run scripts/x_timeline.py activity

Mentions — who's talking to/about you

# Recent mentions
uv run scripts/x_mentions.py recent

# Mentions from last 24 hours
uv run scripts/x_mentions.py recent --hours 24

# Mentions with context (shows what they replied to — costs extra)
uv run scripts/x_mentions.py recent --context

Read — fetch any tweet or thread

# Read a tweet by URL
uv run scripts/x_read.py https://x.com/user/status/123456

# Read by bare ID
uv run scripts/x_read.py 123456

# Fetch full thread
uv run scripts/x_read.py 123456 --thread

# Preview cost
uv run scripts/x_read.py --dry-run https://x.com/user/status/123456

Bookmarks — save and manage

# List your bookmarks
uv run scripts/x_bookmarks.py list

# Bookmark a post
uv run scripts/x_bookmarks.py add TWEET_ID

# Remove a bookmark
uv run scripts/x_bookmarks.py remove TWEET_ID

User Profile — stats + follower tracking

# Your profile stats
uv run scripts/x_user.py me

# Track follower changes over time
uv run scripts/x_user.py me --track

# Look up another user
uv run scripts/x_user.py lookup someuser

Setup & Spend

# Validate credentials
uv run scripts/x_setup.py --check

# Show config (secrets redacted)
uv run scripts/x_setup.py --show

# Weekly spend summary
uv run scripts/x_setup.py --spend-report

# 30-day spend report
uv run scripts/x_setup.py --spend-report --days 30

# Set budget mode
uv run scripts/x_setup.py --budget-mode relaxed

# Print version
uv run scripts/x_setup.py --version

Cost Control Flags (all scripts)

# Preview cost without making the API call
uv run scripts/x_timeline.py --dry-run recent

# Override budget guard
uv run scripts/x_timeline.py --force recent

# Skip all budget checks and warnings
uv run scripts/x_timeline.py --no-budget recent

Workflows

Morning Brief

uv run scripts/x_briefing.py

Single command replaces running timeline + mentions + user separately. Costs ~$0.02.

Accountability Check

uv run scripts/x_timeline.py activity

Use this when the user should be working — it shows when they last posted and how active they've been. Nudge them if they're spending too much time on X.

Weekly Review

uv run scripts/x_timeline.py top --days 7
uv run scripts/x_user.py me --track

Agent Guidelines — READ THIS BEFORE CALLING ANY COMMAND

Every command costs real money. The X API charges per request. Follow these rules to minimize spend:

Rules

1. Never call the same command twice in one conversation unless the user explicitly asks for fresh data. The scripts cache locally — if you already ran recent this session, just reference those results.
2. Prefer top over recent for repeat questions. top reads from the local store for free ($0). recent hits the API ($0.005).
3. Don't use --context on mentions by default. It costs an extra $0.005 per reply thread it fetches. Only add it if the user specifically asks "what were they replying to?"
4. Use --max 5 for quick checks. Default is 10-20. If the user just wants a summary, pull fewer.
5. Use --hours 24 for briefings. Don't pull the full timeline when they just want "what happened today."
6. Never run all scripts unprompted. If the user asks "what's happening on my X?", use x_briefing.py instead of running 3 separate commands.
7. For accountability checks, use activity only. It's a single API call. Don't also pull mentions and profile — that triples the cost.
8. top and refresh are your friends. top is free (local data). refresh TWEET_ID updates just one tweet ($0.005) — use it when they ask "how's my last post doing?" instead of re-pulling the whole timeline.
9. Watch the daily spend total. Every command output shows "Today's spend: $X.XXX". If it's approaching the budget limit, tell the user before making more calls.
10. Never loop or retry on your own. If a command fails (402, rate limit, etc.), report the error. Don't retry automatically.
11. x_read.py caches tweets — if the user asks about the same tweet again, it's already in the local store. No need to re-fetch.
12. Use x_briefing.py for morning briefings instead of running timeline + mentions + user separately. It's cheaper ($0.02 vs $0.02 for 3 separate commands) and cleaner output.

Cost Reference

Action	Cost	When to use
x_briefing.py	$0.02	Morning briefing — one command does it all
recent	$0.005	Once per briefing, or when user asks for new posts
top	$0	Anytime — serves from local store
activity	$0.005	Accountability check, once per session max
refresh ID	$0.005	User asks about a specific post's performance
mentions recent	$0.005	Once per briefing, or user asks about replies
mentions --context	$0.005-0.03	Only when user explicitly wants reply context
x_read.py URL	$0.005	User sends a tweet URL or asks to read a post
x_read.py --thread	$0.005-0.01	User asks for full thread
x_bookmarks.py list	$0.005	User wants to see saved bookmarks
x_bookmarks.py add/remove	$0	Write actions are free
user me	$0.01	Profile check, once per day is plenty
user me --track	$0.01	Morning brief only — saves follower delta
user lookup	$0.01	Only when user asks about another account
--spend-report	$0	Check spending anytime
--dry-run	$0	Preview cost before any command

Budget Modes

The user can set a budget enforcement mode via x_setup.py --budget-mode:

• guarded (default): Warn at 50/80/100%, block at limit
• relaxed: Warn at 50/80/100%, never block
• unlimited: No warnings, no blocks

Budget Tiers

The user set a daily budget during setup. The scripts will warn and block when the limit is hit:

• lite: $0.03/day (~1 briefing)
• standard: $0.10/day (~3-5 checks)
• intense: $0.25/day (~10+ checks)

If blocked, tell the user: "Daily X API budget reached. Use --force to override, or wait until tomorrow."

What NOT to do

• Don't run commands "just to have fresh data" — only fetch when the user needs it
• Don't use --no-cache unless debugging
• Don't call user lookup on multiple accounts in a loop
• Don't refresh every tweet's metrics — only refresh specific ones the user asks about
• Don't combine recent + mentions + user in one response — use x_briefing.py instead