""" RMI Agent Skills - Extended Pack. More workflows for more agent types. """ AGENT_SKILLS_EXTENDED = { "mev_avoidance": { "name": "MEV/Sandwich Attack Avoidance", "description": "Protect transactions from MEV extraction. Check before submitting any trade.", "tools_used": ["mev_protection", "mev_alert", "gas_oracle", "liquidity_depth"], "workflow": [ { "step": 1, "tool": "mev_alert", "why": "Check if there is active MEV activity on the target pool.", }, { "step": 2, "tool": "mev_protection", "why": "Verify your transaction parameters will not be frontrun.", }, { "step": 3, "tool": "gas_oracle", "why": "Set gas appropriately. Too low = vulnerable to sandwiching.", }, { "step": 4, "tool": "liquidity_depth", "why": "Deep liquidity reduces slippage and MEV surface area.", }, ], "pro_tip": "Always run MEV checks on trades above $1,000. The $0.03 check saves thousand-dollar sandwiches.", }, "nft_sniper": { "name": "NFT Mint Sniper Strategy", "description": "Evaluate NFT collections before mint. Avoid rugs, identify blue chips early.", "tools_used": [ "clone_detect", "wash_trading", "syndicate_scan", "deployer_history", "sentiment_spike", ], "workflow": [ { "step": 1, "tool": "deployer_history", "why": "Check if the collection deployer has previous rug pulls.", }, { "step": 2, "tool": "clone_detect", "why": "Verify the art/contract is not copied from another collection.", }, { "step": 3, "tool": "wash_trading", "why": "Detect fake volume. Wash-traded NFTs dump immediately after mint.", }, { "step": 4, "tool": "syndicate_scan", "why": "Check for coordinated mint groups that will dump on real minters.", }, { "step": 5, "tool": "sentiment_spike", "why": "Gauge genuine community interest vs bot-driven hype.", }, ], "pro_tip": "Run the full scan 5 minutes before mint. Syndicates often reveal themselves in the final hour.", }, "defi_yield_optimizer": { "name": "DeFi Yield Farming Optimizer", "description": "Find the best yields across chains while avoiding rugs and unsustainable APYs.", "tools_used": ["protocol_risk", "liquidity_flow", "arbitrage_scan", "unlock_calendar"], "workflow": [ { "step": 1, "tool": "protocol_risk", "why": "Check protocol safety: TVL stability, admin keys, oracle dependency.", }, { "step": 2, "tool": "liquidity_flow", "why": "Track where capital is moving. Follow the flow for best yields.", }, { "step": 3, "tool": "arbitrage_scan", "why": "Find cross-chain yield discrepancies for higher returns.", }, { "step": 4, "tool": "unlock_calendar", "why": "Avoid protocols with imminent team token unlocks that dilute value.", }, ], "pro_tip": "Protocols with >1 year TVL stability and renounced admin keys are safest for long-term farming.", }, "launch_sniper": { "name": "Token Launch Day Playbook", "description": "Complete launch day strategy. From detection to entry to exit.", "tools_used": [ "fresh_pair", "sniper_alert", "bundler_detect", "liquidity_depth", "rug_pull_predictor", ], "workflow": [ { "step": 1, "tool": "fresh_pair", "why": "Detect the pair the moment liquidity is added.", }, { "step": 2, "tool": "sniper_alert", "why": "Check sniper activity. If >10 snipers detected, expect immediate sell pressure.", }, { "step": 3, "tool": "bundler_detect", "why": "Check for MEV bundlers. Bundled launches often contain coordinated dumps.", }, { "step": 4, "tool": "liquidity_depth", "why": "Verify adequate liquidity. Under $5K liquidity is a red flag.", }, { "step": 5, "tool": "rug_pull_predictor", "why": "Final safety check before entry. Score >50 = skip.", }, ], "pro_tip": "Use the New Token Firehose stream to catch launches instantly. The first 30 seconds determine profitability.", }, "cex_listing_predictor": { "name": "CEX Listing Prediction", "description": "Predict which tokens are about to get listed on major exchanges. Front-run the announcement.", "tools_used": [ "listing_predictor", "whale_accumulation", "smart_money_alpha", "sentiment_spike", ], "workflow": [ { "step": 1, "tool": "listing_predictor", "why": "Get the primary signal. On-chain patterns that precede CEX listings.", }, { "step": 2, "tool": "whale_accumulation", "why": "Confirm whales are accumulating. CEX listings require large supply deposits.", }, { "step": 3, "tool": "smart_money_alpha", "why": "Check if insiders are buying. Smart money often knows before announcements.", }, { "step": 4, "tool": "sentiment_spike", "why": "Monitor for rumor-driven volume. Real listings often leak before official announcement.", }, ], "pro_tip": "Combine with exchange deposit tracking. Large transfers to exchange hot wallets precede listings by 24-72 hours.", }, "dao_governance": { "name": "DAO Governance Intelligence", "description": "Track DAO proposals, voting power concentration, and governance attacks before they happen.", "tools_used": ["protocol_risk", "whale_profile", "syndicate_scan", "insider_network"], "workflow": [ { "step": 1, "tool": "protocol_risk", "why": "Assess governance risk. Concentrated voting power = centralized control.", }, { "step": 2, "tool": "whale_profile", "why": "Profile top voters. Understand their interests and historical voting patterns.", }, { "step": 3, "tool": "syndicate_scan", "why": "Detect coordinated voting blocs that can hijack governance.", }, { "step": 4, "tool": "insider_network", "why": "Map relationships between proposal authors and top voters.", }, ], "pro_tip": "Governance attacks typically require 51% voting power. Monitor top-10 voter concentration weekly.", }, "rugpull_forensics": { "name": "Post-Rug Investigation", "description": "After a rug pull: trace the funds, identify the scammer, build the evidence package.", "tools_used": ["funding_trace", "cross_chain_trace", "wallet_graph", "scam_database"], "workflow": [ { "step": 1, "tool": "funding_trace", "why": "Trace where the deployer got initial funds. This leads to their identity.", }, { "step": 2, "tool": "cross_chain_trace", "why": "Follow funds across chains. Scammers bridge to obfuscate the trail.", }, { "step": 3, "tool": "wallet_graph", "why": "Map the full transaction network. Identify every wallet in the scam ring.", }, { "step": 4, "tool": "scam_database", "why": "Check if these wallets appear in known scam databases. Build the case.", }, ], "pro_tip": "CEX deposit addresses are the weak point. Scammers must eventually off-ramp through exchanges that require KYC.", }, "market_maker": { "name": "Market Making Intelligence", "description": "Data for professional market makers: order flow, spread optimization, inventory management.", "tools_used": ["liquidity_depth", "wash_trading", "arbitrage_scan", "whale_scan"], "workflow": [ { "step": 1, "tool": "liquidity_depth", "why": "Analyze order book depth to optimize spread and position sizing.", }, { "step": 2, "tool": "wash_trading", "why": "Detect fake volume that distorts true market depth.", }, { "step": 3, "tool": "arbitrage_scan", "why": "Find pricing discrepancies to balance inventory across venues.", }, { "step": 4, "tool": "whale_scan", "why": "Anticipate large orders that will move the market against your position.", }, ], "pro_tip": "Run liquidity analysis every 30 seconds during volatile periods. Wash trading spikes precede large manipulation events.", }, "kols_detector": { "name": "KOL/Influencer Performance Tracker", "description": "Track which influencers actually deliver alpha and which are paid dumpers.", "tools_used": ["kol_performance", "profile_flip", "sentiment_spike", "smart_money_alpha"], "workflow": [ { "step": 1, "tool": "kol_performance", "why": "Get the hard numbers: call accuracy, average ROI, follower quality score.", }, { "step": 2, "tool": "profile_flip", "why": "Check for suspicious profile changes before calls. Flipped accounts = paid promotions.", }, { "step": 3, "tool": "sentiment_spike", "why": "Verify the influencer actually moves sentiment or just posts into the void.", }, { "step": 4, "tool": "smart_money_alpha", "why": "Cross-reference with actual smart money. If wallets are selling while KOL is shilling, run.", }, ], "pro_tip": "The best KOLs have >60% call accuracy and negative correlation with dump events. Track them, not the hype merchants.", }, "bridge_monitor": { "name": "Cross-Chain Bridge Monitor", "description": "Monitor bridge activity for arbitrage, exploit detection, and capital flow tracking.", "tools_used": ["liquidity_migration", "liquidity_flow", "arbitrage_scan", "whale_scan"], "workflow": [ { "step": 1, "tool": "liquidity_migration", "why": "Detect tokens migrating across chains. Often a rug pull precursor.", }, { "step": 2, "tool": "liquidity_flow", "why": "Track overall capital flow direction. Money moving to a chain = opportunity there.", }, { "step": 3, "tool": "arbitrage_scan", "why": "Find cross-chain price gaps exploitable through bridges.", }, { "step": 4, "tool": "whale_scan", "why": "Large bridge transactions often precede major market moves.", }, ], "pro_tip": "Bridge exploiters typically test with small amounts first. Monitor bridges for unusual small transactions followed by large ones.", }, "insider_trading": { "name": "Insider Trading Detector", "description": "Identify wallet clusters trading on insider information before public announcements.", "tools_used": [ "insider_network", "syndicate_scan", "listing_predictor", "smart_money_alpha", ], "workflow": [ { "step": 1, "tool": "insider_network", "why": "Map connected wallets that trade in sync before announcements.", }, { "step": 2, "tool": "syndicate_scan", "why": "Identify the trading group. Coordinated buying before news = insider activity.", }, { "step": 3, "tool": "listing_predictor", "why": "Cross-reference with listing prediction signals.", }, { "step": 4, "tool": "smart_money_alpha", "why": "If multiple smart wallets enter the same microcap simultaneously, someone knows something.", }, ], "pro_tip": "The strongest insider signal: 3+ unconnected wallets buying the same token within a 60-second window.", }, "compliance_screen": { "name": "Compliance & Sanctions Screening", "description": "Screen wallets and tokens against sanctions lists, known scam databases, and OFAC records.", "tools_used": ["scam_database", "wash_trading", "wallet_graph", "deployer_history"], "workflow": [ { "step": 1, "tool": "scam_database", "why": "Check against known scam, phishing, and sanctioned addresses.", }, { "step": 2, "tool": "deployer_history", "why": "Verify the deployer has no history with sanctioned entities.", }, { "step": 3, "tool": "wallet_graph", "why": "Trace connections to sanctioned wallets through transaction flows.", }, { "step": 4, "tool": "wash_trading", "why": "Detect volume manipulation that may indicate compliance evasion.", }, ], "pro_tip": "OFAC compliance requires ongoing monitoring, not one-time checks. Run weekly on all counterparties.", }, } # Merge with existing skills from app.caching_shield.agent_skills import AGENT_SKILLS, get_agent_skills # noqa: E402 ALL_AGENT_SKILLS = {**AGENT_SKILLS, **AGENT_SKILLS_EXTENDED} def get_all_agent_skills() -> dict: base = get_agent_skills() base["skills"] = ALL_AGENT_SKILLS base["quick_start"]["total_skills"] = len(ALL_AGENT_SKILLS) return base