X Alpha Scout
by @hammadbtc
Scan crypto and NFT sentiment on X/Twitter for daily alpha reports or token/NFT/project on-demand analyses with sentiment, trends, and red flags.
clawhub install x-alpha-scoutπ About This Skill
name: x-alpha-scout description: X/Twitter alpha scanner for crypto and NFTs. Use when: (1) user wants daily alpha reports, (2) analyzing a specific token/NFT/project from X sentiment. GitHub: github.com/hammad-btc/alpha-scout-skill
X Alpha Scout
Your agent's X/Twitter alpha scanner. Two things: daily reports and on-demand analysis.
Prerequisites
Environment variables:
export X_AUTH_TOKEN="your_twitter_auth_token"
export X_CT0="your_twitter_ct0_cookie"
Verify:
bird whoami --auth-token "$X_AUTH_TOKEN" --ct0 "$X_CT0"
Feature 1: Daily Alpha Report (Auto at 00:00 UTC)
User says: "Run my daily alpha" or "Get today's report"
What you do:
# Scan for overnight alpha
bird search "(buying OR bought OR aping OR loading up) (ticker OR token OR \$)" -n 25
bird search "(minting OR mint OR free mint) NFT" -n 20
bird search "(just launched OR stealth launch) token" -n 15
bird search "(gem OR undervalued OR 100x) crypto" --min-likes 10 -n 15
Generate report in this exact format:
# π¦
Alpha Report β Feb 10, 20261. Good Morning
[Simple greeting]2. Crypto Market Update
BTC: $[price] ([+/-]% 24h)
ETH: $[price] ([+/-]% 24h)
SOL: $[price] ([+/-]% 24h)
Fear & Greed Index: [value] ([Extreme Fear/Fear/Neutral/Greed/Extreme Greed]) 3. News of the Day
Major Web3 announcement β Brief summary
Regulation/news affecting market β Brief summary
Any market-moving world news β Brief summary 4. Crypto Twitter (CT)
Main narrative: [What's the hot topic today?]
Key trends: [New meta, drama, or shifts]
Notable accounts: [Who's driving conversation] 5. NFTs Market Update
ETH Eco: [2-3 sentence paragraph on top ETH ecosystem updates β NFTs, tokens, protocols. Skip if nothing significant.]Bitcoin Eco: [2-3 sentence paragraph on top Bitcoin/Ordinals market. Skip if nothing significant.]
Sol Eco: [2-3 sentence paragraph on top Solana ecosystem β NFTs, DeFi, memes. Skip if nothing significant.]
Notable Mints:
Minting Today: @account1 @account2 @account3 (only good, hyped drops β embed X profile links)
Upcoming Mints: @account4 @account5 (worth keeping an eye on β embed X profile links) If none worth mentioning, say "No major mints detected."
6. Alpha from Reputable Figures:
Top calls: [What are reputable accounts buying/minting? Include @username]
High-conviction signals: [Who's aping what with size/proof β include @username]
WL opportunities: [Any good drops they mentioned β include @username]
Emerging narratives: [New meta or trend being discussed β include @username]
Notable exits/warnings: [Who's selling or warning about what β include @username] 7. Extra / Warnings
[Any red flags or opportunities noticed]
[Personal observations]
*Report time: 00:00 UTC | NFA/DYOR*
Deliver: Send to user via their preferred channel (Discord, Telegram, etc.)
Feature 2: On-Demand Analysis
User says: "What do you think of $PEPEAI?" or "Analyze FomoBears NFT"
What you do:
# Deep scan this specific asset
bird search "$PEPEAI" -n 30
bird search "$PEPEAI (gem OR scam OR rug OR buy)" -n 20
Analyze gathered tweets:
1. Count sentiment: Bullish vs Bearish vs Neutral 2. Identify high-conviction posts: Position sizes, wallet proofs, detailed threads 3. Check high-rep accounts: Are known good callers in or out? 4. Look for red flags: Contract issues, copycat names, anon team
Deliver analysis in this exact format:
π CT Sentiments:
[4-5 line summary based on top 20-30 recent tweets about the asset. What are people saying? Any patterns? Hype or concern? Specific details about the project/token/NFT]
π Overall: [Bullish/Bearish/Neutral] (assessment at end of CT Sentiments section)π Takes of High-Rep Accounts:
[@Influencer1: "quote or summary of their take" β Bullish]
[@Influencer2: "quote or summary of their take" β Bearish]
[Or: No noticeable activity detected from high-rep accounts β Bearish]
β οΈ Red Flags:
[Any contract issues, anon team, copycat name, LP not locked, etc. Or: None detected]
π Score: XX/100
β
Verdict: [High/Medium/Low confidence β Bullish/Neutral/Bearish]
β‘ NFA / DYOR
How to gather data:
# Get general sentiment tweets
bird search "$TICKER" -n 30Get high-rep account takes specifically
bird search "$TICKER (from:DegenKing OR from:AlphaKing OR from:CryptoGem)" -n 20
Add more KOLs as needed
Scoring guide:
Signal Scoring Guide
CT Sentiment Score (0-100):
What to look for:
Quick Commands
| Task | Command |
|------|---------|
| Daily report | Run scans for last 24h, compile top calls |
| Analyze asset | bird search "$TICKER" -n 30 |
| Check specific caller | bird search "from:username" -n 20 |
| Find mints | bird search "free mint OR minting now NFT" -n 15 |
Example Sessions
User: "Get my alpha report"
You: Run the 4 daily scans β compile top calls β format report β deliver
User: "What about $MOONSHOT?"
You: Search "$MOONSHOT" (30 tweets) β analyze sentiment β check for red flags β deliver analysis with score + verdict + NFA
User: "Is @DegenKing reliable?"
You: Search "from:DegenKing" β review their recent calls β give qualitative assessment: "Known for high-conviction calls, recent streak looks solid" or "Mixed bag lately, verify before following"
*Built for the agent economy. NFA. DYOR.* π¦
βοΈ Configuration
Environment variables:
export X_AUTH_TOKEN="your_twitter_auth_token"
export X_CT0="your_twitter_ct0_cookie"
Verify:
bird whoami --auth-token "$X_AUTH_TOKEN" --ct0 "$X_CT0"