polymarket-wallet-xrayX-ray any Polymarket wallet — skill level, entry quality, bot detection, and edge analysis. Queries Polymarket's public APIs, no authentication needed. Inspi...
Install via ClawdBot CLI:
clawdbot install adlai88/polymarket-wallet-xrayGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
post → https://x.com/thejaydenCalls external URL not in known-safe list
https://x.com/thejayden/status/2020891572389224878AI Analysis
The skill queries a public API for its stated purpose and the flagged external URLs are documentation links (X/Twitter) cited as inspiration, not data exfiltration endpoints. There is no evidence of credential harvesting, hidden instructions, or obfuscation.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
Novice traders use the skill to analyze successful Polymarket wallets and learn key metrics like Time Profitable and entry quality, helping them understand disciplined trading patterns without risking capital. This supports self-education in prediction markets by identifying what separates skilled traders from risky ones.
Investment analysts employ the skill to study wallet behaviors and detect anomalies like bots or arbitrage activity in Polymarket, providing insights into market dynamics and trader psychology. This aids in generating reports on prediction market trends and identifying potential market inefficiencies.
Security teams at prediction market platforms use the skill to flag suspicious trading patterns, such as inhuman speed or hedge checks, to monitor for bot activity and ensure fair market conditions. This helps maintain platform integrity by identifying automated strategies that may disrupt user experience.
Quantitative traders analyze wallet metrics to inform their own algorithmic strategies, using data on slippage, win rates, and behavior to refine entry and exit models in prediction markets. This enables data-driven decision-making without directly copying trades, enhancing strategy robustness.
Financial influencers and educators use the skill to generate content, such as case studies or tutorials, by comparing wallet profiles and explaining trading concepts like FOMO vs. discipline to their audience. This drives engagement through practical examples from real Polymarket data.
Offer a subscription-based platform where users access enhanced wallet analysis features, tutorials, and community insights to learn trading skills, generating revenue through monthly fees. This model targets novice traders seeking structured learning resources in prediction markets.
Provide the skill's analysis capabilities as an API service, allowing data analytics firms to integrate wallet metrics into their own products for clients in finance or research, with revenue from API usage tiers or licensing fees. This leverages the skill's public data access to offer scalable insights.
Offer consulting services where experts use the skill to conduct in-depth wallet analyses for clients like hedge funds or academic researchers, providing customized reports on trader behavior and market trends, with revenue from project-based fees. This model capitalizes on deep analytical expertise in prediction markets.
💬 Integration Tip
Integrate this skill by calling its Python scripts with wallet addresses or market queries, ensuring your system handles JSON outputs for metrics like profitability and behavior to inform decision-making without authentication.
Scored Apr 19, 2026
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