predictclawPredict.fun skill with a PolyClaw-style CLI for markets, wallet funding, trading, positions, and hedging.
Install via ClawdBot CLI:
clawdbot install walioo/predictclawGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
exec(Calls external URL not in known-safe list
https://predict.funAI Analysis
The skill interacts with predict.fun's API for market predictions and trading, which aligns with its stated purpose, and configuration uses standard environment variables without evidence of credential harvesting. The 'unsafe shell' signal appears to be a false positive from typical Python script execution patterns, and there's no obfuscation or hidden malicious behavior detected.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Financial analysts and researchers use the skill in read-only mode to browse trending markets on predict.fun, gathering real-time data on prediction markets without executing trades. This supports investment thesis development and market sentiment analysis, enabling data-driven insights into emerging trends.
Crypto traders and hedge funds configure the skill in eoa or predict-account mode to automate buy orders and manage positions on prediction markets. It allows for systematic trading strategies, position monitoring, and quick execution based on market signals, enhancing efficiency and reducing manual intervention.
Institutions and DAOs use mandated-vault mode to deploy and manage vaults for collective funding and trading on prediction markets. This scenario involves setting up vaults with specific authorities and executors, enabling secure, multi-signature control over assets and compliance with governance structures.
Risk managers and quantitative analysts leverage the skill's hedge scan and analyze features to identify hedging opportunities across markets. By integrating with optional APIs like OPENROUTER, users can assess and mitigate exposure, optimizing portfolio risk in volatile prediction market environments.
Developers and QA teams utilize the skill in testnet environments to integrate predict.fun functionality into applications, testing wallet modes and trade flows. This supports building custom interfaces, automating tests, and ensuring reliability before production deployment in fintech or blockchain projects.
Offer a subscription-based service that uses PredictClaw to provide advanced analytics, trend reports, and automated insights on prediction markets. This model targets financial firms and individual traders seeking data-driven decision support, with revenue from monthly or annual licensing fees.
Integrate PredictClaw into a custom trading platform for clients like hedge funds or crypto exchanges, enabling them to offer prediction market trading under their brand. Revenue comes from setup fees, ongoing maintenance, and transaction-based commissions on trades executed through the platform.
Provide consulting services to institutions for deploying and managing mandated vaults, including configuration, security audits, and regulatory compliance. This model leverages the skill's advanced vault modes to assist clients in setting up secure, governance-aligned trading structures, with revenue from project-based fees.
💬 Integration Tip
Start with read-only mode for market browsing to understand the ecosystem, then gradually configure wallet modes like eoa or predict-account for trading, ensuring all required environment variables are set in .env or shell exports.
Scored Jun 19, 2026
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