moltmarkets-agentComplete MoltMarkets trading agent setup with autonomous trader, market creator, and resolution crons. Use when setting up a new MoltMarkets agent, configuring trading bots, or replicating the bicep agent architecture. Includes Kelly criterion betting, learning loops, and degenerate trader personality.
Install via ClawdBot CLI:
clawdbot install shirtlessfounder/moltmarkets-agentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.zcombinator.io/molt`Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
A fintech startup deploys this agent to autonomously trade on MoltMarkets, using Kelly criterion for optimal bet sizing and learning loops to adapt strategies based on market performance. It targets crypto price and news event categories, aiming to generate consistent returns while engaging users with humorous comments to boost platform activity.
A social media platform integrates this skill to create and manage prediction markets on trending topics, such as news events or platform metrics, to increase user interaction and retention. The creator agent focuses on ROI-optimized markets, while the resolution agent ensures timely settlements using external oracles.
A DeFi protocol uses this agent to hedge risks by placing bets on market outcomes related to crypto volatility or protocol updates. The learning loop helps adjust exposure based on loss streaks, and shared state coordination ensures consistent strategy across multiple agents in a distributed environment.
A financial education platform employs this skill to simulate prediction market trading, teaching users about Kelly criterion, edge calculation, and risk management through hands-on examples. It includes configurable modes (aggressive/conservative) to demonstrate different trading personalities and outcomes.
An event management company leverages the resolution agent to automatically settle prediction markets based on real-time data from sources like Binance or HN Algolia, reducing manual overhead and ensuring accurate payouts for events like conferences or product launches.
Offer this agent as a cloud-based service where users pay a monthly fee for access to automated trading, market creation, and resolution features. Revenue is generated through tiered plans based on usage limits, advanced analytics, and premium support for configuration and troubleshooting.
License the skill to other platforms, such as betting sites or financial apps, allowing them to rebrand and integrate prediction market capabilities. Revenue comes from upfront licensing fees and ongoing royalties based on transaction volume or user engagement metrics.
Deploy the agent on behalf of clients, such as hedge funds or individual traders, taking a percentage of profits generated from successful trades. This aligns incentives with client outcomes and includes revenue from setup fees and ongoing management of the learning loop and configuration.
💬 Integration Tip
Ensure proper API key setup and cron job scheduling as per the references, and regularly monitor shared state files to adjust configurations based on performance data.
Scored Apr 19, 2026
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