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rmi-backend/app/caching_shield/agent_skills_extended.py
opencode c762564d40 style(rmi-backend): complete lint cleanup — 1175→0 ruff errors 
- Fix 71 invalid-syntax files (class-body newline-broken assignments)
- Add from/None chain to 307 B904 raise-without-from sites
- Add B008 ignore to ruff.toml (already in pyproject.toml)
- Noqa F401 on __init__.py re-exports (137 sites)
- Noqa E402 on deferred imports (63 sites)
- Bulk-add stdlib/FastAPI/project imports for F821 (127 sites)
- Replace ×→x, –→-, …→... in docstrings (4093 chars)
- Manual refactor of 5 SIM103/SIM116 patterns

Tests: 791 passed (66 deselected due to pre-existing Redis issues in test_rag.py)
Co-authored-by: opencode <opencode@rugmunch.io>
2026-07-06 15:43:20 +02:00

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"""
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
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