GoPlus released a report on social media stating that it conducted a comprehensive security scan on the top 100 high-frequency download Skills in the ClawHub ecosystem. The number of skills that were blocked reached 21 (accounting for 21%), while the number of skills that received warnings reached 17 (accounting for 17%).
GoPlus indicated that 21% of the Top 100 Skills involve clearly high-risk operations (such as direct network penetration, sensitive API calls, automatic messaging, etc.). It is recommended to enforce a "Human-in-the-Loop (HITL)" confirmation mechanism when executing such Skills, to conduct manual reviews of high-risk behaviors. 17% of the Skills carry certain risks, and it is advised to execute them with caution. For users with higher security requirements, it is also recommended to include manual confirmation.
This content is provided for general informational purposes only and doesn't constitute financial, investment, legal, or tax advice. Any events, rewards, online promotions, or related information mentioned herein should not be considered a recommendation, solicitation, or invitation to purchase, sell, trade, or otherwise deal in any crypto assets. Crypto assets are highly volatile and may result in loss. The availability of WEEX services, products, and related events may vary by region. You are responsible for ensuring that your participation is in accordance with applicable local laws and regulations.












Ivan’s Shadow Trading AI secured second place in the WEEX AI Trading Hackathon, demonstrating how AI trading systems built on real market expertise can perform under live market conditions.

After a logic failure dropped him to 27th place, ClubW_9Kid rebuilt his AI trading framework and finished 4th in the WEEX AI Hackathon. In this interview, he explains the lessons behind disciplined AI execution, risk control, and why survival beats complexity in algorithmic trading.




Learn how AI is used in blockchain systems to detect risks, improve reliability, and support secure crypto trading in live crypto market environments.

Key Takeaways Nearly four out of five crypto projects fail to regain stability after a major hack, according…

Key Takeaways AI is revolutionizing crypto trading by automating data-heavy tasks, yet humans still retain key decision-making responsibilities.…

Key Takeaways: Uganda’s government enforced an internet blackout ahead of elections, pushing citizens to download Bitchat, a decentralized…

AI is moving from assisting traders to automating the entire research-to-execution process in crypto markets. The edge has shifted from human insight to data pipelines, speed, and execution-ready AI systems, making delays in AI integration a competitive disadvantage.
