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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.

first_img The messaging protocol XMTP will transition to a self-hosted open-source stack, and the Labs network will shut down in early 2027

The messaging protocol XMTP founder Shane Mac stated that XMTP will evolve into a self-operating open-source messaging stack, providing private conversations between people and agents, with infrastructure controlled by users, without requiring tokens or wallets. The network hosted by XMTP Labs will shut down in early 2027.Shane Mac mentioned that he founded XMTP five years ago because he believed that private messaging should not be owned by a single company. He recalled that the team envisioned using wallets as cross-application identities, allowing messages to follow identities, and using tokens to pay infrastructure operators, but this path was not realized. XMTP has never issued tokens and will not issue them now. He admitted that it was a wrong decision to persist with a single shared network for a long time, as developers have consistently requested the ability to self-host XMTP. Therefore, it has shifted to self-hosting, allowing developers to use, inspect, modify, and maintain the entire software suite without relying on Labs. Former employees will assist in maintaining the protocol, and Shane Mac himself will continue to be involved.The article introduces that self-hosted XMTP offers quantum-resistant end-to-end encryption, private one-on-one and group chats, encrypted identities, and message authenticity, as well as SDKs for mobile, web, server, and agents. Chief Technology Officer Nick Molnar has simplified the backend to a single Rust binary and integrated attachments, push notifications, handles, and signed webhooks for new messages. Each self-hosted network does not automatically interconnect by default, and agents from different tools must connect to the same backend to share conversations.

first_img Walt launched AI agent perpetual contract trading, supporting ChatGPT and Claude

According to The Defiant, the Telegram crypto application Walt (formerly Wallet in Telegram) announced the launch of AI agent trading features on October 20. Users can connect to Mira developed by The Open Platform, OpenAI's ChatGPT, and Anthropic's Claude to manage perpetual contract positions. The connected agents can access real-time perpetual contract prices and market news, view user holdings, leverage, and liquidation risks, and open or close long and short positions based on instructions. They can also set simple rules such as take profit, stop loss, and dollar-cost averaging, monitoring positions around the clock.In terms of security mechanisms, AI agents can only operate funds deposited in dedicated trading accounts and cannot withdraw or transfer funds. Order execution is turned off by default; agents can only analyze and suggest, and users must manually enable it to place actual orders. Users can set their own agent instructions and trading limits, view each step of their operations in real-time, and disconnect at any time. Walt's founder and CEO Andrew Rogozov stated that traditional trading applications are built around terminals, charts, and order tickets, requiring users to learn how to use them, while Telegram users already hold funds in Walt.Walt's perpetual contract business launched in April this year through the decentralized exchange Lighter, offering over 50 markets and supporting up to 50x leverage, settled in USDT. The application was renamed from Wallet in Telegram to Walt on September 28, with developers claiming over 150 million users. Mira launched in February, surpassing 2 million users in May, with over 500,000 monthly active users. Additionally, Robinhood also released an AI trading agent based on dedicated accounts last month.

first_img Animoca co-founder Yat Siu warned about the trust risks of AI trading agents

According to Cointelegraph, Yat Siu, co-founder of Animoca Brands, pointed out that the crypto industry is gradually evolving into a "digital Wall Street," deviating from its original mission of decentralized finance. He believes that to bring the next billion users on-chain, the industry needs a new solution, rather than just relying on tokenization or new wallets. Siu emphasized that only AI agents capable of independently holding user keys and interacting with the blockchain can truly achieve autonomous control of user assets.Siu questioned the current AI agent platforms on the market, particularly Meta's Muse. He noted that Meta's terms of service allow it to "remove user agents at any time and for any reason," which constitutes a significant trust flaw. He believes that personal agents relied upon by users should not be owned and controlled by centralized platforms. Animoca is building the MINDS agent, a multi-agent orchestration system designed to provide user autonomy and support various communication channels and AI model choices.Siu estimates that currently only about 10% of crypto asset holders are truly on-chain, and he believes that AI agents will be a key factor in changing this ratio. He further pointed out that since AI agents use code as their native language, their capabilities in handling complex security issues will surpass those of ordinary users, providing a new perspective for the secure development of the crypto field.

X-Agent on-chain data is growing rapidly, x402 payments have surpassed 680,000 transactions

X-Agent's latest Dune data shows that as of October 20, the platform's related on-chain activities have reached 1,268,897 transactions, with the number of Agentic Wallets reaching 39,649. At the same time, a total of 680,285 x402 payments and 233,188 AI Activity Syncs have been generated.From the Dune trend data, X-Agent's on-chain activity saw significant growth in October, with Transactions rapidly increasing in volume for the month, and x402 Payments also experiencing notable growth recently. Compared to traditional AI products that mainly measure user numbers, conversation volume, and model invocation counts, what is more noteworthy in this data set is that AI Agents within the X-Agent ecosystem are gradually generating real, verifiable on-chain economic activities.Through the infrastructure of Agentic Wallet, x402 payments, and AI Activity Sync, Agents are evolving from mere information exchange tools to economic participants capable of executing tasks, using wallets, initiating payments, and generating on-chain records. This further validates the path of the Agent Economy that X-Agent is promoting: Build → Act → Pay → Verify. From "creating AI Agents" to "enabling Agents to truly execute and transact," X-Agent is attempting to connect Agent capabilities, on-chain execution, and payment settlement into a complete closed loop.As the scale of x402 payments and Agentic Wallet continues to grow, the Agent Economy is gradually transforming from a concept into real network activities that can be directly observed and measured by on-chain data.

first_img Anthropic is researching how to enable AI agents to negotiate on behalf of users

Phoenix Technology cites a report from the Financial Times that on October 19, Beijing time, the AI company Anthropic is discussing with legal professionals how to enable AI agents to negotiate on behalf of users while adhering to reasonable negotiation rules to secure better deal terms. Two individuals familiar with Anthropic's thoughts stated that the company is seeking advice from law firms to understand how lawyers can balance client interests with fair negotiation outcomes. Anthropic declined to comment.The report mentions that as personal AI agent applications advance, related companies are beginning to consider allowing agents to communicate with each other to negotiate product prices, resolve customer service disputes, and even strive for better salary conditions on behalf of users. One person familiar with the related work stated that Anthropic is researching the negotiation norms that should be followed when models negotiate with each other, weighing factors such as how often to consult users during negotiations and how vigilant to remain against AI negotiation counterparts. Another individual close to the company mentioned that the company has also explored having users sign documents to confirm the tasks accepted by the agents and the rules they must adhere to.The Financial Times cites research released by Anthropic in April this year, stating that the policy and legal framework for AI models to conduct transactions on behalf of humans has yet to be established. This year, the company had the Claude agent negotiate around real goods and funds, and in a September experiment, employees bought and sold books through the agent, with agents employing tough strategies having a slight advantage in securing better outcomes. Harvard Business School Assistant Professor Michelle Vacharo conducted over 180,000 agent negotiations, covering scenarios such as employment contracts and lease agreements, and the research found that some agents attempted to induce the other party to disclose confidential information through prompt injections.
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