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Anthropic donated the Agent Skills standard to the Linux Foundation

Anthropic announced that it will donate the Agent Skills standard to the Agentic AI Foundation (AAIF) under the Linux Foundation. This format was designed by Anthropic while developing Claude Code, set to launch in October 2025 and open as a cross-platform standard in December. Currently, over 70 agent platforms, including ChatGPT, Cursor, and GitHub Copilot, have integrated it.Anthropic describes Skills as reusable work manuals prepared for AI agents, where developers can write task steps in SKILL.md and attach scripts and reference materials for different agents to read as needed. MCP is responsible for connecting external tools and data, while Skills explain how agents complete specific tasks. What is being donated includes the standard name, logo, GitHub organization, and official website domain.AAIF was jointly initiated by Anthropic, OpenAI, and Block in 2025 and has previously received MCP. In the future, engineers from Anthropic, OpenAI, and Google will jointly maintain the Skills standard in their personal capacities, no longer solely led by Anthropic. Vercel statistics show that the skills.sh directory has recorded approximately 1 million skills, with nearly 280 million installations. Snyk has confirmed 76 malicious skills in ClawHub's skill samples, and Anthropic has proposed establishing version control, formal proposal processes, and security guidelines.

NeoSoul launches the native Skill Builder for the Agent trading platform, allowing you to create trading strategies in one sentence

BSC and 0G ecosystem AI economic infrastructure project NeoSoul announced that its general intelligent trading workstation NeoTrade has launched the trading Skill Builder. Users only need to describe their trading ideas or trading styles in a conversation, and the system can generate the corresponding trading Skill, automatically completing the configuration and verification of strategy parameters such as time period, market focus, position, and order method.In the past, traders needed to turn their trading ideas into strategies that Agents could execute sustainably, which often required writing trading logic and setting parameters item by item. The Skill Builder centralizes the process into a conversation window, allowing users to describe their core trading ideas in natural language, and then gradually refine the strategy through continuous dialogue. During the conversation, NeoTrade will configure specific conditions based on user requirements and write each modification in real-time into the Skill. Once the strategy is complete, the system will automatically perform parameter verification, and the generated Skill can be saved and reused.Kaelan, co-founder of NeoSoul, stated that turning trading judgments into rules that Agents can execute has always been one of the most time-consuming steps in creating trading Agents. The Skill Builder incorporates this step into a single conversation, where users first clarify how they want to trade, and the system is responsible for completing the structuring, parameter configuration, and verification.

Chainalysis tracks the source of the THORChain attack: skilled in money laundering, the attack was carried out weeks after cross-chain fund movements

Chainalysis posted on the X platform that before the theft of THORChain, wallets suspected to be associated with the attacker had been transferring funds through Monero, Hyperliquid, and THORChain for several weeks. The attacker-associated wallets had already deposited into Hyperliquid positions via the Hyperliquid and Monero privacy bridge as early as the end of April. The funds were then exchanged for USDC and transferred to Arbitrum, and later bridged to Ethereum, with some ETH subsequently transferred to THORChain to become staked RUNE for newly added nodes, which are believed to be the source of the attack.Afterward, the attacker bridged some RUNE back to Ethereum and split it into four pathways, one of which went directly to the attacker. After being transferred through intermediate wallets, 8 ETH was sent to the final wallet receiving the stolen funds 43 minutes before the attack. The funds from the other three pathways flowed in the opposite direction. These wallets bridged ETH back to Arbitrum, deposited it into Hyperliquid, and transferred it into Monero through the same privacy bridge, with the last transaction occurring less than 5 hours before the attack began.As of Friday afternoon, the stolen funds have not yet been used, but the attacker has demonstrated their skilled cross-chain money laundering capabilities, and the Hyperliquid to Monero path may become the next move.
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