kalshi-command-centerComplete Kalshi trading command interface — portfolio P&L, live market scanning with edge scoring, trade execution, and risk management through your OpenClaw...
Install via ClawdBot CLI:
clawdbot install kingmadellc/kalshi-command-centerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/kingmadellc/openclaw-prediction-stack/issuesAudited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
A retail trader uses the skill to track daily P&L and open positions across Kalshi markets, leveraging emoji-annotated outputs for quick performance assessment. They run the portfolio command to view cash balance and deployed capital, identifying top-performing positions like inflation bets for potential scaling.
A quantitative analyst employs the live scan feature to screen 600+ markets using heuristic edge scoring, filtering for tight spreads and liquidity to identify actionable opportunities. They cache top picks and use execute with Kelly sizing for automated, risk-validated trades based on algorithmic signals.
A risk-averse investor utilizes the skill's built-in safety caps (e.g., $25 max trade, $50 daily loss cutoff) to execute small, disciplined trades. They query market data with get to verify bid/ask spreads before placing manual buy/sell orders, ensuring compliance with personal risk limits.
A developer integrates the skill into an OpenClaw AI assistant, configuring it via environment variables to enable autonomous portfolio updates and trade execution. The agent uses commands like execute with cached opportunities to act on market insights while adhering to preset blocklists and retry logic.
A trading team runs brier score reports to calibrate prediction accuracy over 90-day periods, filtering by estimators like Claude to assess model performance. They use this data to refine strategies and document audit logs from trade executions for compliance reviews.
Offer the skill as part of a premium subscription service for retail traders, providing advanced features like live market scanning and Kelly sizing. Revenue is generated through monthly fees, with tiers based on access to real-time data and execution limits.
License the skill to fintech platforms or brokerages, integrating it as a branded trading interface for their clients. Revenue comes from licensing fees and revenue-sharing agreements based on trade volume facilitated through the tool.
Monetize the heuristic scoring and cached opportunities by selling market insights and research reports to institutional clients. Revenue is generated through one-time report sales or ongoing data feed subscriptions, leveraging the skill's scanning and calibration capabilities.
💬 Integration Tip
Set up environment variables for API authentication and configure the OpenClaw config.yaml with ticker aliases to streamline command usage and avoid manual input errors.
Scored Jun 17, 2026
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