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Tencent SkillHub · Data Analysis

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.

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High Signal

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.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, example-alpha-report.md, example-analysis.md, README.md, scripts/parse_calls.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

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

TaskCommandDaily reportRun scans for last 24h, compile top callsAnalyze assetbird search "$TICKER" -n 30Check specific callerbird search "from:username" -n 20Find mintsbird 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. 🦅

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
4 Docs1 Scripts
  • SKILL.md Primary doc
  • example-alpha-report.md Docs
  • example-analysis.md Docs
  • README.md Docs
  • scripts/parse_calls.py Scripts