[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6J111D265GFAPZBSMJMZJDX":3,"skill-same:01M6J111D265GFAPZBSMJMZJDX":88},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":55,"ownerDescription":56,"updatedAt":57,"install":58,"resources":71},"01M6J111D265GFAPZBSMJMZJDX","komodo-strategy",null,"KOMODO v1.0 — Momentum Event Consensus. Uses leaderboard_get_momentum_events (real-time threshold crossings) to detect when 2+ quality SM traders cross momentum thresholds on the same asset\u002Fdirection within 60 minutes. Confirmed by market concentration + volume. Enters with the momentum. Replaces MANTIS v1.0 and SCORPION v1.1 (both used stale position data).","enuno\u002Fhyperliquid-trading-firm","enuno","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6727752?v=4","01M6J09HF6Y74150F7PEMC446X","Elvis Nuno","01M6J09HKK0YMKE39JXT8JT8VM",1,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fenuno\u002Fhyperliquid-trading-firm\u002Fblob\u002Fmain\u002Fskills\u002Fsenpi-skills\u002Fkomodo\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"komodo strategy","strategy","komodo","get","v1","minutes","with","event","asset","direction","detect","thresholds","data","volume","time","Market","stale","consensus","quality","real-time","2026-11-10 10:12:30",false,"---\nname: komodo-strategy\ndescription: >-\n  KOMODO v1.0 — Momentum Event Consensus. Uses leaderboard_get_momentum_events\n  (real-time threshold crossings) to detect when 2+ quality SM traders cross\n  momentum thresholds on the same asset\u002Fdirection within 60 minutes. Confirmed\n  by market concentration + volume. Enters with the momentum.\n  Replaces MANTIS v1.0 and SCORPION v1.1 (both used stale position data).\nlicense: Apache-2.0\nmetadata:\n  author: jason-goldberg\n  version: \"1.0\"\n  platform: senpi\n  exchange: hyperliquid\n---\n\n# ? KOMODO v1.0 — Momentum Event Consensus\n\nPatient ambush. Devastating when it commits. Follow smart money ACTIONS, not stale positions.\n\n## Why KOMODO Exists\n\n**MANTIS v1.0 and SCORPION v1.1 were broken at the data source level.** Both used `discovery_get_top_traders` to find historically good whales, then read their current open positions. This returned ALL positions including legacy ones — BTC shorts opened months ago at $89-108k showed up as \"fresh 8-whale consensus.\" The aging filters only checked scan duration, not when positions were actually opened.\n\n**KOMODO uses `leaderboard_get_momentum_events` as the primary data source.** These are real-time threshold-crossing events ($2M+\u002F$5.5M+\u002F$10M+) within a 4-hour rolling window. They capture when a trader's delta PnL crosses a significance level — this is an ACTION, not a stale position.\n\n| Predecessor | Problem | Result |\n|---|---|---|\n| SCORPION v1.1 | 2 whales, 10min aging, stale positions | 406 trades, -24.2% |\n| MANTIS v1.0 | 4 whales, 30min aging, stale positions | 0 trades (gates correct, data wrong) |\n| **KOMODO v1.0** | **Real-time momentum events, quality filtering** | **New — tracking fresh** |\n\n## MANDATORY: DSL High Water Mode\n\n**KOMODO MUST use DSL High Water Mode. This is not optional.**\n\nSpec: https:\u002F\u002Fgithub.com\u002FSenpi-ai\u002Fsenpi-skills\u002Fblob\u002Fmain\u002Fdsl-dynamic-stop-loss\u002Fdsl-high-water-spec%201.0.md\n\nDSL tiers in `komodo-config.json`. Arm DSL immediately after every entry fill. Zero naked positions.\n\n## Five-Gate Entry Model\n\n### Gate 1 — Momentum Events (primary signal)\n\nPoll `leaderboard_get_momentum_events` for recent tier 1+ crossings within the last 60 minutes. These are traders whose delta PnL just crossed $2M+ (T1), $5.5M+ (T2), or $10M+ (T3).\n\nEach event includes:\n- `top_positions`: snapshot of which markets drove the momentum, with direction and delta PnL\n- `concentration`: how focused the trader's gains are (0-1)\n- `trader_tags`: TCS (Elite\u002FReliable\u002FStreaky\u002FChoppy) and TAS (Patient\u002FTactical\u002FActive\u002FDegen)\n- `tier`: 1\u002F2\u002F3 significance level\n\nGroup events by asset+direction. **2+ unique traders** on the same asset\u002Fdirection = consensus.\n\n### Gate 2 — Trader Quality Filter\n\nNot all momentum events are equal. Filter by:\n- **TCS (Trading Consistency Score)**: Only Elite and Reliable. Streaky\u002FChoppy filtered out.\n- **TAS (Trading Activity Style)**: Block Degen. Allow Patient, Tactical, Active.\n- **Concentration ≥ 0.4**: Trader's gains are focused, not spread thin across 20 positions.\n\n### Gate 3 — Market Confirmation\n\nCall `leaderboard_get_markets` to check aggregate SM concentration on the asset. Requires 5+ top traders with significant positions in this market. Confirms momentum events aren't isolated.\n\n### Gate 4 — Volume Confirmation\n\nCall `market_get_asset_data` to check 1h volume. Current volume must be ≥ 50% of 6h average. Don't enter into dead markets.\n\n### Gate 5 — Regime Filter (penalty, not block)\n\nCheck BTC 4h regime. Counter-trend entries get -3 penalty. Regime-aligned entries get +1 bonus. SM momentum may override regime, so this is a penalty not a block.\n\n### Scoring\n\n| Component | Points | Notes |\n|---|---|---|\n| Trader count | 2 per trader | Core signal strength |\n| Avg tier | 1-3 | Higher tiers = bigger moves |\n| Avg concentration | 1-2 | High conviction traders |\n| Market confirmation | 1-2 | Hot market bonus |\n| Volume strength | 0-1 | Strong volume bonus |\n| Regime alignment | -3 to +1 | Penalty\u002Fbonus |\n\n**Minimum score: 10** to trigger entry.\n\n## Entry Direction\n\nKOMODO enters **WITH** the smart money momentum. If SM is long, KOMODO goes long. This is follow-the-leader, not contrarian (that's OWL's job).\n\n## Risk Management\n\n| Rule | Value |\n|---|---|\n| Max positions | 3 |\n| Max entries\u002Fday | 3 base, up to 6 on profitable days |\n| Absolute floor | 3% notional |\n| Drawdown halt | 20% from peak |\n| Daily loss limit | 8% |\n| Cooldown after 3 consecutive losses | 90 min |\n| Stagnation TP | 10% ROE stale for 1 hour |\n\n## Cron Architecture\n\n| Cron | Interval | Session | Purpose |\n|---|---|---|---|\n| Scanner | 5 min | isolated | Momentum events + consensus + all gates |\n| DSL v5 | 3 min | isolated | High Water Mode trailing stops |\n\nBoth crons MUST be isolated sessions with `agentTurn` payload. Use `NO_REPLY` for idle cycles.\n\n## Notification Policy\n\n**ONLY alert:** Position OPENED (asset, direction, trader count, avg tier, score breakdown), position CLOSED (DSL or thesis exit with reason), risk guardian triggered, critical error.\n\n**NEVER alert:** Scanner found no events, quality filter removed events, no consensus, gates failed, DSL routine check, any reasoning.\n\n## What \"Working Correctly\" Looks Like\n\n- **Zero trades for hours:** Normal. Momentum events that pass ALL five gates are rare by design.\n- **Events seen but no consensus:** The quality filter and 2+ trader requirement are doing their job.\n- **Consensus found but score too low:** Volume or regime gates keeping us out of bad setups.\n- **1-2 trades per day:** Ideal. The Komodo waits, then strikes once.\n\n## Bootstrap Gate\n\nOn EVERY session, check if `config\u002Fbootstrap-complete.json` exists. If not:\n1. Verify Senpi MCP\n2. Create scanner cron (5 min, isolated) and DSL cron (3 min, isolated)\n3. Write `config\u002Fbootstrap-complete.json`\n4. Send: \"? KOMODO v1.0 is online. Monitoring momentum events for SM consensus. Silence = no conviction.\"\n\n## Files\n\n| File | Purpose |\n|---|---|\n| `scripts\u002Fkomodo-scanner.py` | Five-gate scanner (momentum events → quality → markets → volume → regime) |\n| `scripts\u002Fkomodo_config.py` | Shared config, MCP helpers, state I\u002FO |\n| `config\u002Fkomodo-config.json` | All configurable variables with DSL High Water tiers |\n","# ? KOMODO v1.0 — Momentum Event Consensus\n\nPatient ambush. Devastating when it commits. Follow smart money ACTIONS, not stale positions.\n\n## Why KOMODO Exists\n\n**MANTIS v1.0 and SCORPION v1.1 were broken at the data source level.** Both used `discovery_get_top_traders` to find historically good whales, then read their current open positions. This returned ALL positions including legacy ones — BTC shorts opened months ago at $89-108k showed up as \"fresh 8-whale consensus.\" The aging filters only checked scan duration, not when positions were actually opened.\n\n**KOMODO uses `leaderboard_get_momentum_events` as the primary data source.** These are real-time threshold-crossing events ($2M+\u002F$5.5M+\u002F$10M+) within a 4-hour rolling window. They capture when a trader's delta PnL crosses a significance level — this is an ACTION, not a stale position.\n\n| Predecessor | Problem | Result |\n|---|---|---|\n| SCORPION v1.1 | 2 whales, 10min aging, stale positions | 406 trades, -24.2% |\n| MANTIS v1.0 | 4 whales, 30min aging, stale positions | 0 trades (gates correct, data wrong) |\n| **KOMODO v1.0** | **Real-time momentum events, quality filtering** | **New — tracking fresh** |\n\n## MANDATORY: DSL High Water Mode\n\n**KOMODO MUST use DSL High Water Mode. This is not optional.**\n\nSpec: https:\u002F\u002Fgithub.com\u002FSenpi-ai\u002Fsenpi-skills\u002Fblob\u002Fmain\u002Fdsl-dynamic-stop-loss\u002Fdsl-high-water-spec%201.0.md\n\nDSL tiers in `komodo-config.json`. Arm DSL immediately after every entry fill. Zero naked positions.\n\n## Five-Gate Entry Model\n\n### Gate 1 — Momentum Events (primary signal)\n\nPoll `leaderboard_get_momentum_events` for recent tier 1+ crossings within the last 60 minutes. These are traders whose delta PnL just crossed $2M+ (T1), $5.5M+ (T2), or $10M+ (T3).\n\nEach event includes:\n- `top_positions`: snapshot of which markets drove the momentum, with direction and delta PnL\n- `concentration`: how focused the trader's gains are (0-1)\n- `trader_tags`: TCS (Elite\u002FReliable\u002FStreaky\u002FChoppy) and TAS (Patient\u002FTactical\u002FActive\u002FDegen)\n- `tier`: 1\u002F2\u002F3 significance level\n\nGroup events by asset+direction. **2+ unique traders** on the same asset\u002Fdirection = consensus.\n\n### Gate 2 — Trader Quality Filter\n\nNot all momentum events are equal. Filter by:\n- **TCS (Trading Consistency Score)**: Only Elite and Reliable. Streaky\u002FChoppy filtered out.\n- **TAS (Trading Activity Style)**: Block Degen. Allow Patient, Tactical, Active.\n- **Concentration ≥ 0.4**: Trader's gains are focused, not spread thin across 20 positions.\n\n### Gate 3 — Market Confirmation\n\nCall `leaderboard_get_markets` to check aggregate SM concentration on the asset. Requires 5+ top traders with significant positions in this market. Confirms momentum events aren't isolated.\n\n### Gate 4 — Volume Confirmation\n\nCall `market_get_asset_data` to check 1h volume. Current volume must be ≥ 50% of 6h average. Don't enter into dead markets.\n\n### Gate 5 — Regime Filter (penalty, not block)\n\nCheck BTC 4h regime. Counter-trend entries get -3 penalty. Regime-aligned entries get +1 bonus. SM momentum may override regime, so this is a penalty not a block.\n\n### Scoring\n\n| Component | Points | Notes |\n|---|---|---|\n| Trader count | 2 per trader | Core signal strength |\n| Avg tier | 1-3 | Higher tiers = bigger moves |\n| Avg concentration | 1-2 | High conviction traders |\n| Market confirmation | 1-2 | Hot market bonus |\n| Volume strength | 0-1 | Strong volume bonus |\n| Regime alignment | -3 to +1 | Penalty\u002Fbonus |\n\n**Minimum score: 10** to trigger entry.\n\n## Entry Direction\n\nKOMODO enters **WITH** the smart money momentum. If SM is long, KOMODO goes long. This is follow-the-leader, not contrarian (that's OWL's job).\n\n## Risk Management\n\n| Rule | Value |\n|---|---|\n| Max positions | 3 |\n| Max entries\u002Fday | 3 base, up to 6 on profitable days |\n| Absolute floor | 3% notional |\n| Drawdown halt | 20% from peak |\n| Daily loss limit | 8% |\n| Cooldown after 3 consecutive losses | 90 min |\n| Stagnation TP | 10% ROE stale for 1 hour |\n\n## Cron Architecture\n\n| Cron | Interval | Session | Purpose |\n|---|---|---|---|\n| Scanner | 5 min | isolated | Momentum events + consensus + all gates |\n| DSL v5 | 3 min | isolated | High Water Mode trailing stops |\n\nBoth crons MUST be isolated sessions with `agentTurn` payload. Use `NO_REPLY` for idle cycles.\n\n## Notification Policy\n\n**ONLY alert:** Position OPENED (asset, direction, trader count, avg tier, score breakdown), position CLOSED (DSL or thesis exit with reason), risk guardian triggered, critical error.\n\n**NEVER alert:** Scanner found no events, quality filter removed events, no consensus, gates failed, DSL routine check, any reasoning.\n\n## What \"Working Correctly\" Looks Like\n\n- **Zero trades for hours:** Normal. Momentum events that pass ALL five gates are rare by design.\n- **Events seen but no consensus:** The quality filter and 2+ trader requirement are doing their job.\n- **Consensus found but score too low:** Volume or regime gates keeping us out of bad setups.\n- **1-2 trades per day:** Ideal. The Komodo waits, then strikes once.\n\n## Bootstrap Gate\n\nOn EVERY session, check if `config\u002Fbootstrap-complete.json` exists. If not:\n1. Verify Senpi MCP\n2. Create scanner cron (5 min, isolated) and DSL cron (3 min, isolated)\n3. Write `config\u002Fbootstrap-complete.json`\n4. Send: \"? KOMODO v1.0 is online. Monitoring momentum events for SM consensus. Silence = no conviction.\"\n\n## Files\n\n| File | Purpose |\n|---|---|\n| `scripts\u002Fkomodo-scanner.py` | Five-gate scanner (momentum events → quality → markets → volume → regime) |\n| `scripts\u002Fkomodo_config.py` | Shared config, MCP helpers, state I\u002FO |\n| `config\u002Fkomodo-config.json` | All configurable variables with DSL High Water tiers |\n",{"name":5,"license":15,"metadata":44,"description":7},{"author":45,"version":46,"exchange":47,"platform":48},"jason-goldberg","1.0","hyperliquid","senpi","main","cc32fdacf303e9c64064829787a5e690bb29cd47","skills\u002Fsenpi-skills\u002Fkomodo",0,"https:\u002F\u002Fgithub.com\u002Fenuno\u002Fhyperliquid-trading-firm","https:\u002F\u002Fgithub.com\u002Fenuno","https:\u002F\u002Fenuno.github.io\u002FDynamicCareerCanvas","Digital Nomad, Blockchain Evangel, and Digital Solutions Architect. \r\nCreator of TerraHash Stack.\r\nCEO of Ryno Crypto Mining Services.","2026-07-02 12:46:02",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add enuno\u002Fhyperliquid-trading-firm --skill komodo-strategy",{"tool":64,"command":65},"bunx","bunx skills add enuno\u002Fhyperliquid-trading-firm --skill komodo-strategy",{"tool":67,"command":68},"pnpm","pnpm dlx skills add enuno\u002Fhyperliquid-trading-firm --skill komodo-strategy","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fenuno\u002Fhyperliquid-trading-firm\u002Fblob\u002Fmain\u002Fskills\u002Fsenpi-skills\u002Fkomodo\u002FSKILL.md",true,[72,78,84],{"path":73,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":76,"sourceHtmlUrl":77},"config\u002Fkomodo-config.json","REFERENCE","参考文档",3012,"https:\u002F\u002Fgithub.com\u002Fenuno\u002Fhyperliquid-trading-firm\u002Fblob\u002Fmain\u002Fskills\u002Fsenpi-skills\u002Fkomodo\u002Fconfig\u002Fkomodo-config.json",{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"scripts\u002Fkomodo_config.py","SCRIPT","脚本",6684,"https:\u002F\u002Fgithub.com\u002Fenuno\u002Fhyperliquid-trading-firm\u002Fblob\u002Fmain\u002Fskills\u002Fsenpi-skills\u002Fkomodo\u002Fscripts\u002Fkomodo_config.py",{"path":85,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":86,"sourceHtmlUrl":87},"scripts\u002Fkomodo-scanner.py",17672,"https:\u002F\u002Fgithub.com\u002Fenuno\u002Fhyperliquid-trading-firm\u002Fblob\u002Fmain\u002Fskills\u002Fsenpi-skills\u002Fkomodo\u002Fscripts\u002Fkomodo-scanner.py",[89,121,145,168,193,214],{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":93,"licenseFileUrl":6,"sourceHtmlUrl":94,"categories":95,"keywords":101,"publishedAt":39},"01M6J14V7SBT7MBPZ9VK8NRQR8","supermemory","Supermemory is a state-of-the-art memory and context infrastructure for AI agents. Use this skill when building applications that need persistent memory, user personalization, long-term context retention, or semantic search across knowledge bases. It provides Memory API for learned user context, User Profiles for static\u002Fdynamic facts, and RAG for semantic search. Perfect for chatbots, assistants, and knowledge-intensive applications.","GPL-3.0","https:\u002F\u002Fgithub.com\u002Fenuno\u002Fhyperliquid-trading-firm\u002Fblob\u002Fmain\u002Fskills\u002Fsupermemory\u002FSKILL.md",[96],{"categoryNo":97,"categoryName":98,"taxonomyType":99,"taxonomyTypeDesc":100},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",[91,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120],"ai agents","memory","rag","semantic search","infrastructure","search","user context","applications","api","knowledge","context","Art","personalization","across","learned","retention","profiles","for","persistent memory",{"skillNo":122,"name":123,"nameZh":6,"description":124,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":125,"licenseFileUrl":6,"sourceHtmlUrl":126,"categories":127,"keywords":128,"publishedAt":39},"01M6J14PEXHE2QBAWM3YZ2GM63","wolverine-strategy","WOLVERINE v2.0 — HYPE alpha hunter. Entry-only scanner, DSL-exit-only architecture. v1.1 lost -22.7% because the scanner's thesis exit chopped 25\u002F27 trades before DSL could manage them. v2.0 removes thesis exit entirely. Scanner decides entries (score 8+, 4H\u002F1H aligned, SM consensus). DSL manages all exits (wide Phase 1 for HYPE volatility, trailing tiers starting at +15% ROE). Leverage lowered to 7x. Max 4 entries\u002Fday. 3-hour cooldown between entries. DSL exit managed by plugin runtime via runtime.yaml.","MIT","https:\u002F\u002Fgithub.com\u002Fenuno\u002Fhyperliquid-trading-firm\u002Fblob\u002Fmain\u002Fskills\u002Fsenpi-skills\u002Fwolverine\u002FSKILL.md",[],[20,129,130,131,132,36,133,134,135,136,137,138,47,139,140,141,142,143,144,119],"wolverine strategy","architecture","alpha","Volatility","only","trading","scanner","manage","max","exit","entries","thesis","runtime","leverage","hunter","at",{"skillNo":146,"name":147,"nameZh":6,"description":148,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":125,"licenseFileUrl":6,"sourceHtmlUrl":149,"categories":150,"keywords":154,"publishedAt":39},"01M6J14FQY9YG5QB45QK4D98AZ","wolf-strategy","WOLF v6.3 — Fully autonomous multi-strategy trading for Hyperliquid perps via Senpi MCP. Manages multiple strategies simultaneously, each with independent wallets, budgets, slots, and DSL configs. 5+N cron architecture: 5 shared wolf crons (Emerging Movers 3min, SM Flip 5min, Watchdog 5min, Risk Guardian 5min, Health Check 10min) plus one DSL v5.2 cron per strategy (native Hyperliquid SL sync via dsl-dynamic-stop-loss skill v5.3.1). Same asset can be traded in different strategies simultaneously. Enter early on first jumps, not at confirmed peaks. Dynamic risk-based leverage per strategy. Requires Senpi MCP connection, python3, mcporter CLI, OpenClaw cron system, and dsl-dynamic-stop-loss skill (provides dsl-cli.py + dsl-v5.py).","https:\u002F\u002Fgithub.com\u002Fenuno\u002Fhyperliquid-trading-firm\u002Fblob\u002Fmain\u002Fskills\u002Fsenpi-skills\u002Fwolf-strategy\u002FSKILL.md",[151],{"categoryNo":152,"categoryName":153,"taxonomyType":99,"taxonomyTypeDesc":100},"01JBSEEDCAT000000000000023","Skill与智能体开发",[20,155,156,157,158,159,130,160,161,134,47,162,163,164,142,27,165,166,144,167],"wolf strategy","MCP","openclaw","cli","sync","watchdog","autonomous","perps","strategies","shared","native","wallets","hyperliquid perps",{"skillNo":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":125,"licenseFileUrl":6,"sourceHtmlUrl":172,"categories":173,"keywords":175,"publishedAt":39},"01M6J14A20TMQ772M3H80XNB2T","wolf-howl","HOWL v2 — Hunt, Optimize, Win, Learn. Nightly self-improvement loop for the WOLF autonomous trading strategy. Runs once per day (via cron) to review all trades from the last 24 hours, compute win rates, analyze signal quality correlation, evaluate DSL tier performance, identify missed opportunities, and produce concrete improvement suggestions for the wolf-strategy skill. v2 adds fee drag ratio (FDR) analysis, holding period bucketing, LONG vs SHORT regime detection, rotation cost tracking, cumulative drift detection, and gross vs net profit factor separation. Use when setting up daily trade review automation, analyzing trading performance, or improving an autonomous trading strategy through data-driven feedback loops. Requires Senpi MCP connection, mcporter CLI, and OpenClaw cron system.","https:\u002F\u002Fgithub.com\u002Fenuno\u002Fhyperliquid-trading-firm\u002Fblob\u002Fmain\u002Fskills\u002Fsenpi-skills\u002Fwolf-howl\u002FSKILL.md",[174],{"categoryNo":152,"categoryName":153,"taxonomyType":99,"taxonomyTypeDesc":100},[176,156,177,158,178,179,180,181,182,183,161,184,185,186,187,188,189,190,191,192],"wolf howl","review","performance","learn","analysis","loop","analyze","short","up","optimize","drift","missed","self","factor","loops","profit","data-driven",{"skillNo":194,"name":195,"nameZh":6,"description":196,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":197,"categories":198,"keywords":199,"publishedAt":39},"01M6J1469QYZMD7E6JDP8Z9X1V","whale-index","Auto-mirror top Discovery traders on Hyperliquid. Scans top 50 traders, scores on PnL rank (35%), win rate (25%), consistency (20%), hold time (10%), drawdown (10%). Creates 2-5 mirror strategies with overlap checks. Daily rebalance with 2-day watch period before swaps. Use when setting up trader mirroring, copy trading, or portfolio auto-rebalancing based on Discovery leaderboard performance.","https:\u002F\u002Fgithub.com\u002Fenuno\u002Fhyperliquid-trading-firm\u002Fblob\u002Fmain\u002Fskills\u002Fsenpi-skills\u002Fwhale-index\u002FSKILL.md",[],[200,201,202,178,203,204,205,206,207,208,184,209,33,163,25,210,211,212,119,213],"index","whale","whale index","auth","monitoring","discovery","use","auto","portfolio","daily","consistency","top","mirror","pnl",{"skillNo":215,"name":216,"nameZh":6,"description":217,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":125,"licenseFileUrl":6,"sourceHtmlUrl":218,"categories":219,"keywords":220,"publishedAt":39},"01M6J141MJ2JMM7X3BGEEW30J9","vixen-strategy","VIXEN v1.0 — Dual-mode emerging movers scanner. Built from FOX v1.6 live trading data (+34.5% ROI). Two entry modes: STALKER (steady accumulation, score 6+, catches the SM buildup BEFORE the explosion) and STRIKER (violent FIRST_JUMP, score 9+, with raw volume confirmation to filter blow-off tops). 2-hour per-asset cooldown after Phase 1 exits. DSL High Water Mode mandatory.","https:\u002F\u002Fgithub.com\u002Fenuno\u002Fhyperliquid-trading-firm\u002Fblob\u002Fmain\u002Fskills\u002Fsenpi-skills\u002Fvixen\u002FSKILL.md",[],[20,221,222,31,223,224,134,135,47,32,225,226,27,25,227,228,229,23,230,231],"vixen strategy","roi","first","confirmation","live","filter","explosion","mode","high","modes","emerging movers"]