X Alpha Scout
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.
Description
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:
# 🦅 Alpha Report — Feb 10, 2026
### 1. 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](https://x.com/...) — Brief summary
- [Regulation/news affecting market](https://x.com/...) — Brief summary
- [Any market-moving world news](https://x.com/...) — 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 — 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 — NFTs, DeFi, memes. Skip if nothing significant.]
**Notable Mints:**
- Minting Today: [@account1](https://x.com/account1) [@account2](https://x.com/account2) [@account3](https://x.com/account3) (only good, hyped drops — embed X profile links)
- Upcoming Mints: [@account4](https://x.com/account4) [@account5](https://x.com/account5) (worth keeping an eye on — 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 — include @username]
- WL opportunities: [Any good drops they mentioned — include @username]
- Emerging narratives: [New meta or trend being discussed — include @username]
- Notable exits/warnings: [Who's selling or warning about what — 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 "$PEPEAI (gem OR scam OR rug OR buy)" -n 20
Analyze gathered tweets:
- Count sentiment: Bullish vs Bearish vs Neutral
- Identify high-conviction posts: Position sizes, wallet proofs, detailed threads
- Check high-rep accounts: Are known good callers in or out?
- Look for red flags: Contract issues, copycat names, anon team
Deliver analysis in this exact format:
📊 CT Sentiments:
[4-5 line summary based on top 20-30 recent tweets about the asset. What are people saying? Any patterns? Hype or concern? Specific details about the project/token/NFT]
📈 Overall: [Bullish/Bearish/Neutral] (assessment at end of CT Sentiments section)
🐋 Takes of High-Rep Accounts:
[@Influencer1: "quote or summary of their take" — Bullish]
[@Influencer2: "quote or summary of their take" — Bearish]
[Or: No noticeable activity detected from high-rep accounts — Bearish]
⚠️ Red Flags:
[Any contract issues, anon team, copycat name, LP not locked, etc. Or: None detected]
📊 Score: XX/100
✅ Verdict: [High/Medium/Low confidence — Bullish/Neutral/Bearish]
⚡ NFA / DYOR
How to gather data:
# Get general sentiment tweets
bird search "$TICKER" -n 30
# Get 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:
- 90-100: Strong bullish consensus, high-reps bullish, no red flags
- 70-89: Moderate bullish, some high-reps in, minor concerns
- 50-69: Mixed/neutral, no clear direction or high-reps silent
- 30-49: Bearish signals, some red flags or high-reps warning
- 0-29: Strong bearish, multiple red flags, avoid
Signal Scoring Guide
CT Sentiment Score (0-100):
- 80-100: Strong bullish consensus, high-rep accounts in, no red flags
- 50-79: Mixed or moderate sentiment, do more research
- <50: Bearish consensus or multiple red flags detected
What to look for:
- Bullish: "gem", "undervalued", "loading up", "next 100x"
- Bearish: "rug", "scam", "avoid", "dumping"
- High-conviction: Specific numbers ("bought $5k"), wallet screenshots, detailed threads
- Red flags: Contract unverified, LP not locked, copycat name, team completely anon
Quick Commands
| Task | Command |
|---|---|
| Daily report | Run scans for last 24h, compile top calls |
| Analyze asset | bird search "$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 → compile top calls → format report → deliver
User: "What about $MOONSHOT?"
You: Search "$MOONSHOT" (30 tweets) → analyze sentiment → check for red flags → deliver analysis with score + verdict + NFA
User: "Is @DegenKing reliable?"
You: Search "from:DegenKing" → review their recent calls → 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. 🦅
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