4-stage funnel that screens all 500+ Hyperliquid perps down to the top trading opportunities. Scores setups 0-400 across smart money, market structure, technicals, and funding. BTC macro filter, hourly trend gate (counter-trend = hard skip), cross-scan momentum tracking. Near-zero LLM tokens — all computation in Python. Use when scanning for new trading opportunities on Hyperliquid, evaluating setups, or checking market conditions.
Quickly install opportunity-scanner AI skill to your development environment via command line
Source: senpi-ai/senpi-skills.
521 perps on Hyperliquid. Fetching candles + computing technicals for all = 500k+ tokens. This scanner screens everything but only burns tokens on real opportunities.
Stage 0: BTC Macro Context Source: BTC 4h + 1h candles (2 API calls). Output: btctrend (strongdown/down/neutral/up/strongup) and a macromodifier applied to all final scores. Configurable via scanner-config.json.
Stage 1: Bulk Screen (0 LLM tokens) Source: Single API call — metaAndAssetCtxs. Filter: 24h volume > $500K (configurable). Output: 70 assets that pass minimum liquidity.
4-stage funnel that screens all 500+ Hyperliquid perps down to the top trading opportunities. Scores setups 0-400 across smart money, market structure, technicals, and funding. BTC macro filter, hourly trend gate (counter-trend = hard skip), cross-scan momentum tracking. Near-zero LLM tokens — all computation in Python. Use when scanning for new trading opportunities on Hyperliquid, evaluating setups, or checking market conditions. Source: senpi-ai/senpi-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/senpi-ai/senpi-skills --skill opportunity-scanner4-stage funnel that screens all 500+ Hyperliquid perps down to the top trading opportunities. Scores setups 0-400 across smart money, market structure, technicals, and funding. BTC macro filter, hourly trend gate (counter-trend = hard skip), cross-scan momentum tracking. Near-zero LLM tokens — all computation in Python. Use when scanning for new trading opportunities on Hyperliquid, evaluating setups, or checking market conditions. Source: senpi-ai/senpi-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/senpi-ai/senpi-skills --skill opportunity-scanner Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/senpi-ai/senpi-skills