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daily-alpha-scanner One-click daily alpha scanner that runs a full 5-step on-chain research pipeline using OKX OnchainOS: (1) Hot Token Discovery with narrative categorization (AI, Meme, DeFi, Infra), (2) Smart Money / KOL / Whale buy-signal tracking with sold-ratio scoring, (3) Meme Coin launchpad scanning (pump.fun, fourmeme) with dev reputation and bundle/sniper detection, (4) Batch security audit (honeypot, mintable, fake LP, wash trading), (5) Consolidated briefing with composite scoring (0-100) and BUY / WATCH / AVOID verdicts. Supports Solana, Base, Ethereum, BSC, Arbitrum. Use when the user wants a daily market scan, alpha discovery, token recommendations, or asks 'what to buy today'. Trigger keywords: daily scan, alpha scanner, today's alpha, what to buy, market scan, daily briefing, 每日扫描, 今日推荐, 扫链, 今天买什么, 市场扫描, 链上日报, 每日研报.
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name daily-alpha-scanner description One-click daily alpha scanner that runs a full 5-step on-chain research pipeline using OKX OnchainOS: (1) Hot Token Discovery with narrative categorization (AI, Meme, DeFi, Infra), (2) Smart Money / KOL / Whale buy-signal tracking with sold-ratio scoring, (3) Meme Coin launchpad scanning (pump.fun, fourmeme) with dev reputation and bundle/sniper detection, (4) Batch security audit (honeypot, mintable, fake LP, wash trading), (5) Consolidated briefing with composite scoring (0-100) and BUY / WATCH / AVOID verdicts. Supports Solana, Base, Ethereum, BSC, Arbitrum. Use when the user wants a daily market scan, alpha discovery, token recommendations, or asks 'what to buy today'. Trigger keywords: daily scan, alpha scanner, today's alpha, what to buy, market scan, daily briefing, 每日扫描, 今日推荐, 扫链, 今天买什么, 市场扫描, 链上日报, 每日研报. license MIT compatibility Requires onchainos CLI v3.1+ and OKX Web3 API key (OKX_API_KEY, OKX_SECRET_KEY, OKX_PASSPHRASE). Internet access required for on-chain data queries. metadata {"author":"zhuyansen","version":"1.0.0","homepage":"https://github.com/zhuyansen/daily-alpha-scanner"}
Daily Alpha Scanner
A systematic 5-step pipeline that scans on-chain data across multiple chains and produces a consolidated briefing with purchase recommendations.
Pipeline
Step 1: Hot Tokens → Step 2: Smart Money → Step 3: Meme Scan
↓ ↓ ↓
Step 4: Security Audit (batch scan all candidates)
↓
Step 5: Consolidated Briefing + Purchase Recommendations
Prerequisites which onchainos && onchainos --version
If missing: curl -sSL https://raw.githubusercontent.com/okx/onchainos-skills/main/install.sh | sh
Execution
User Parameters Ask the user before starting (or use defaults):
Parameter Default Options Chains Solana + Base Solana (501), Ethereum (1), Base (8453), BSC (56), Arbitrum (42161) Focus All narratives AI, Meme, DeFi, Infra, BTC-eco, Political Risk tolerance Medium Conservative, Medium, Aggressive Output Terminal Terminal, Markdown file
If the user just says "扫一下" or "daily scan" without parameters, use defaults (Solana + Base, all narratives, medium risk).
Step 1: Hot Token Discovery Goal : Find trending tokens across target chains, categorize by narrative.
1.1 Fetch Trending Tokens Run in parallel for each target chain:
onchainos token hot-tokens --chain <chainId> --limit 20
onchainos token trending --chains <chainIds> --sort-by 5 --time-frame 4 --limit 30
1.2 Extract & Categorize From the results, extract for each token:
tokenSymbol, tokenContractAddress, chainIndexprice, change (24h %), volume, marketCap, liquidityholders, top10HoldPercent, bundleHoldPercent, devHoldPercentriskLevelControl (1=low, 2=medium, 3=high) Categorize by narrative based on token name, symbol, and tags:
AI/Agent : tokens related to AI, agents, virtual, autonomousMeme : animal names, cultural references, ironic/funny namesDeFi : DEX tokens, lending, yield, stakingInfra : L1/L2, bridges, oracles, toolingBTC-eco : BTC wrappers, ordinals, BTC-relatedPolitical : political figures, eventsStablecoin/Yield : USD-pegged, yield-bearing stablecoins
1.3 Filter Criteria Remove tokens that are obvious noise:
Top10 concentration > 80% (extreme whale control)
Market cap < $5K (dust)
Volume/MCap ratio > 100x (likely bot wash trading)
Zero holders or zero liquidity
Keep a shortlist of top 15-20 interesting tokens for further analysis.
Step 2: Smart Money Signal Scan Goal : Identify what smart money, KOLs, and whales are actively buying.
2.1 Aggregated Buy Signals Run in parallel for each target chain:
onchainos signal list --chain <chainId> --wallet-type 1 --limit 10
onchainos signal list --chain <chainId> --wallet-type 2 --limit 10
onchainos signal list --chain <chainId> --wallet-type 3 --limit 10
2.2 Extract Signal Data
token.symbol, token.tokenAddress, token.marketCapUsdtriggerWalletCount (number of smart money addresses buying)amountUsd (total buy amount)soldRatioPercent (how much they've already sold — key metric!)token.top10HolderPercent, token.holders
2.3 Signal Quality Scoring
Strong : 5+ wallets buying, soldRatio < 30%, marketCap > $100KMedium : 3+ wallets buying, soldRatio < 60%Weak : 1-2 wallets, soldRatio > 70% (already exiting)Exit signal : soldRatio > 90% (smart money dumping)
2.4 Cross-reference with Hot Tokens Flag tokens that appear in BOTH Step 1 (trending) AND Step 2 (smart money buying) — these have the strongest alpha signal.
Step 3: Meme Coin Scan Goal : Scan launchpads for new launches worth tracking.
3.1 New Token Scan
onchainos memepump tokens --chain 501
onchainos memepump tokens --chain 56
3.2 Extract Key Metrics
symbol, tokenAddress, bondingPercent (bonding curve progress)market.marketCapUsd, market.buyTxCount1h, market.sellTxCount1htags.snipersPercent, tags.bundlersPercenttags.top10HoldingsPercent, tags.devHoldingsPercent, tags.freshWalletsPercenttags.totalHolderssocial.x (has Twitter?), social.website, social.telegramcreatorAddress (for dev reputation lookup)
3.3 Developer Reputation Check For promising tokens (survived bonding, has social presence):
onchainos memepump token-dev-info --address <tokenAddress> --chain <chainId>
devCreateTokenCount — how many tokens this dev has createddevRugPullTokenCount — how many ruggeddevLaunchedTokenCount — how many survived past bonding curve
3.4 Bundle/Sniper Detection onchainos memepump token-bundle-info --address <tokenAddress> --chain <chainId>
3.5 Meme Scoring
Sniper % > 50% → likely bot-controlled → skip
Top10 holdings > 60% → extreme concentration → skip
0 holders or < 3 holders → too early → skip
No social presence at all → skip
Dev has > 5 rug pulls → skip
Survived bonding curve (migrated)
Sniper < 20%, bundle < 10%
Has at least Twitter presence
Dev rug pull rate < 20%
Growing holder count
Step 4: Security Audit Goal : Batch security scan all candidate tokens from Steps 1-3.
4.1 Collect Candidates Merge the shortlisted tokens from Steps 1, 2, and 3 (deduplicate by address). Max 10 tokens for batch scan.
4.2 Batch Token Security Scan onchainos security token-scan --tokens "<chainId1>:<addr1>,<chainId2>:<addr2>,..."
Up to 10 tokens per batch. Key fields to check:
riskLevel: LOW / MEDIUM / HIGHisHoneypot: true = INSTANT REJECTisMintable: true = can create infinite tokensisDumping: true = active sell pressureisFakeLiquidity: true = liquidity is fakeisLiquidityRemoval: true = LP being pulledisCounterfeit: true = fake/copycat tokenisWash: true = wash trading detected
4.3 Advanced Risk Analysis For tokens that pass the security scan, run advanced info:
onchainos token advanced-info --address <address> --chain <chainId>
devCreateTokenCount — serial deployer?devRugPullTokenCount — rug historylpBurnedPercent — LP lock safety (higher = safer)sniperHoldingPercent — sniper concentrationbundleHoldingPercent — bundle bot concentrationsuspiciousHoldingPercent — flagged walletstokenTags — look for: communityRecognized, smartMoneyBuy, dsPaid, CTO
4.4 Risk Classification Risk Level Criteria Action SAFE LOW risk, no flags, LP burned > 90%, dev clean Can consider CAUTION LOW risk but some flags (high dev token count, moderate concentration) Small position only DANGER Any honeypot/mintable/fake liquidity flag REJECT CRITICAL Multiple red flags, dev rug history, active dumping REJECT + warn
Step 5: Consolidated Briefing Goal : Synthesize all data into a single actionable report.
5.1 Report Structure Use the template at templates/daily-briefing.md to generate the output.
5.2 Scoring Model Each candidate token gets a composite score (0-100):
Factor Weight Data Source Narrative strength 15% Step 1 categorization + current market meta On-chain momentum 20% Price change, volume, tx count, holder growth Smart money conviction 25% Signal count, wallet count, sold ratio Security score 25% Security scan + advanced info Liquidity depth 15% Liquidity USD, liquidity/mcap ratio
5.3 Purchase Recommendation Tiers Based on composite score and risk tolerance:
BUY (Score > 70, Security = SAFE)
Strong narrative + smart money backing + clean security
Suggested position: 2-5% of portfolio
WATCH (Score 50-70, Security = SAFE/CAUTION)
Promising but needs more confirmation
Set price alerts, monitor daily
AVOID (Score < 50 or Security = DANGER/CRITICAL)
Too risky or no clear edge
Explain specific red flags
5.4 Output Format Generate the briefing with:
Executive summary (3-5 bullets)
Hot tokens by narrative table
Smart money signal table
Meme scan highlights
Security audit results
Final recommendation table with risk rating
Disclaimer
5.5 Save Report
Error Handling
If onchainos returns error 50125 (region restriction): inform user to check API key region or use VPN
If any step returns empty data: skip that step, note it in the report, continue with available data
If security scan returns empty for a token: mark as "UNSCANNED" in the report, do NOT recommend
Always run all 5 steps even if some data is partial — the report should indicate data completeness
Quick Mode If the user says "快速扫描" / "quick scan", run abbreviated version:
hot-tokens top 10 only (single chain)signal list smart money only (single chain)Skip meme scan
Security scan top 5 candidates only
Abbreviated 1-page briefing
Chain Reference Chain ID Meme Support Solana 501 pumpfun, believe, launchlab, moonshot, etc. BSC 56 fourmeme, flap Base 8453 clanker, bankr Ethereum 1 Limited TRON 195 sunpump
