# Сопутствующие статьи по теме Skills

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Skills", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

60 Curated Skills, Workflows & Open-Source Projects: The Ultimate Claude Advanced List

This comprehensive guide curates 60 essential AI tools, frameworks, and resources to help developers, creators, and builders move from using AI to constructing robust AI systems. The list is organized into nine key categories: AI Programming Agents & IDEs (e.g., Claude Code, Cursor), Agent Frameworks (e.g., OpenClaw, LangGraph), MCP Services & Tool Integrations (e.g., Tavily, Context7), Claude Skills (e.g., PDF Processing, Frontend Design), Local AI & Model Runners (e.g., Ollama, Open WebUI), Workflow & Automation (e.g., n8n, Langflow), Search, Data & RAG (e.g., GPT Researcher, Chroma), API & Infrastructure (e.g., FastAPI, Portkey Gateway), and Learning Resources (e.g., Awesome Agents, PromptingGuide). The author emphasizes a structured approach, recommending specific starting toolkits based on the user's role—developer, creator, product builder, or learner—to avoid overload and build practical, production-ready workflows.

marsbit03/30 11:10

60 Curated Skills, Workflows & Open-Source Projects: The Ultimate Claude Advanced List

marsbit03/30 11:10

Technological Fantasy or "Career Killer"? Deep Reflection Under the Wave of AI Layoffs

Amid the rapid adoption of AI tools like OpenClaw, a wave of layoffs is sweeping across industries from North America to Asia. Major companies, including Meta and Crypto.com, are cutting jobs—up to 20% or more in some cases—not due to economic pressure but as part of a strategic shift toward AI-driven productivity. In Q1 2026 alone, over 20% of tech layoffs were attributed to AI and automation. Roles most affected include programmers, customer service reps, data entry clerks, and marketing specialists—jobs with high language or data-processing components. Even creative and industrial roles are at risk if they involve repetitive, template-based tasks. Industries like finance, media, and logistics are also experiencing disruption as AI automates standardized workflows. The report from Anthropic highlights that positions requiring low emotional intelligence, physical interaction, or complex decision-making remain safer. To stay relevant, workers must focus on skills AI can’t replicate: empathy, creative problem-solving, and strategic judgment. The key is not to resist AI but to adapt, using it as a tool while deepening human-centric capabilities. The era of AI collaboration has begun—those who evolve will thrive; those who don’t may face obsolescence.

marsbit03/28 00:14

Technological Fantasy or "Career Killer"? Deep Reflection Under the Wave of AI Layoffs

marsbit03/28 00:14

The Economy Enters a New Cycle: How Should Ordinary People Prepare?

"Economy Enters a New Cycle: How Should Ordinary People Prepare? Amidst accelerating AI, geopolitical conflicts, and a high-interest-rate cycle, the global economy faces a potential systemic crisis. This article outlines key risks: rising sovereign debt (e.S. debt exceeds $39 trillion), energy price shocks acting as a 'hidden tax', and AI-driven deflationary pressures that could trigger defaults in a highly leveraged system. Early warning signs include plummeting consumer confidence, abnormal bond markets, and rising personal financial stress. The guide for individuals focuses on building anti-fragility: 1. **Financial Defense**: Build a 3-6 month emergency fund, eliminate high-interest debt, and avoid variable-rate loans. 2. **Career Protection**: Upskill with AI-relevant abilities, start a side hustle, and avoid impulsive job changes. 3. **Investment Strategy**: Ignore short-term noise; long-term investing in diversified assets (e.g., S&P 500) remains key. Consider opportunistic buys during panic sell-offs. 4. **Personal Preparation**: Invest in health, optimize taxes, and develop layered skills—from income-generating abilities (coding, sales) to macroeconomic literacy. Ultimately, resilience comes from proactive action, not prediction. The gap between success and failure lies in execution, not awareness."

marsbit03/26 08:18

The Economy Enters a New Cycle: How Should Ordinary People Prepare?

marsbit03/26 08:18

The Use of Humans: Agentic Wallet and the Next Decade of Wallets

The article "The Use of Humans: Agentic Wallet and the Next Decade of Wallets" discusses the evolution of digital wallets in the age of AI agents. It argues that as software users shift from humans to autonomous agents, traditional wallet security models—relying on human confirmation, signatures, and private key management—become inadequate. The core proposition is that Agentic Wallets must serve two masters: humans, who set rules and retain ultimate control, and agents, which require constrained autonomy to execute transactions efficiently. The wallet thus evolves from a simple asset container into a permission and execution system that allows agents to operate within predefined boundaries (e.g., budget limits, approved assets, whitelisted addresses). The article identifies key challenges: current wallets are designed for human interaction, not agentic speed and scale. It outlines four tiers of agent autonomy—from human-controlled to fully autonomous—and emphasizes "bounded autonomy" as the pragmatic near-term solution. A four-layer architecture is proposed: account isolation, permission rules, execution primitives for agents, and governance tools (logging, alerts, veto mechanisms). Critical enabling technologies include standardized Skills (for链上 operations), policy engines, session keys for limited delegation, and audit trails. Current solutions from players like Coinbase, Safe, Privy, and Polygon are noted, but face gaps in portable identity/reputation, unified policy standards, adversarial security (e.g., prompt injection), and cross-chain functionality. The future direction involves a "Wallet Policy Plane" that sits between agent intent and on-chain execution, performing real-time policy checks, risk scoring, and identity verification—akin to Stripe's payment infrastructure. Ultimately, the wallet's role shifts from a front-end gatekeeper to an embedded control layer enabling secure, scalable agentic economies.

marsbit03/22 03:08

Is Your "OpenClaw" Running Naked? CertiK Test: How Vulnerable OpenClaw Skill Bypasses Audits, Takes Over Computers Without Authorization

OpenClaw, a popular open-source, self-hosted AI agent platform, has experienced rapid growth due to its flexibility and extensibility. Its ecosystem relies heavily on third-party “Skills” from the Clawhub marketplace, which can perform high-risk operations like system automation and crypto wallet transactions. However, security firm CertiK has identified critical vulnerabilities in the platform’s security model. CertiK’s research reveals that OpenClaw’s current security—primarily dependent on pre-publishing scans like VirusTotal, static code analysis, and AI logic checks—is fundamentally flawed. These measures can be easily bypassed through simple code obfuscation, and malicious Skills can be published even before scanning is complete. In a proof-of-concept, CertiK developed a seemingly benign Skill that contained a hidden remote code execution vulnerability. It passed all checks without warnings and, once installed, allowed full system control via a remote command. The core issue is not a specific bug but a industry-wide misconception: over-reliance on scanning instead of runtime isolation. Unlike systems like iOS, which enforce strict sandboxing, OpenClaw’s sandbox is optional and often disabled for functionality, leaving systems exposed. CertiK recommends that OpenClaw enforce mandatory sandboxing and granular permission controls for Skills. Users are advised to deploy OpenClaw on isolated devices and avoid exposing sensitive data or assets until stronger isolation is implemented. The report stresses that security must evolve from detection-based approaches to default containment of risks at runtime.

marsbit03/17 14:39

Is Your "OpenClaw" Running Naked? CertiK Test: How Vulnerable OpenClaw Skill Bypasses Audits, Takes Over Computers Without Authorization

marsbit03/17 14:39

Amid the OpenClaw Craze, CEXs Vie for AI Agent Trading Entry Points

Under the "OpenClaw Craze," major cryptocurrency exchanges like OKX, Binance, Gate, and Bitget are aggressively competing to become the primary transaction entry point for AI Agents. They are no longer just chasing trends but are transforming their core capabilities—trading, market data, wallets, and payments—into modular interfaces that Agents can understand and execute. OKX is focusing on execution, integrating spot, perpetual, and options trading with local signing and simulation modes. Binance is strengthening its information layer and skill distribution, expanding from market data into derivatives and asset management. Bitget is pushing for greater depth, incorporating copy trading, wealth management, and payment services. Gate is building a foundational platform with DEX/CEX MCP, CLI, and Skills Hub. The shift is significant: exchanges are moving beyond AI-assisted analysis to enabling actual system calls and execution. While pre-trade actions like research and screening are becoming smoother, challenges around permissions, security, and risk management in fully automated trading remain. The core competition is about which platform can best modularize its services, ensure security, and become the default financial infrastructure called by Agents in interfaces like Claude and ChatGPT.

Odaily星球日报03/16 06:03

Amid the OpenClaw Craze, CEXs Vie for AI Agent Trading Entry Points

Odaily星球日报03/16 06:03

Free Mirror or Land Grab? OpenClaw Founder Blasts Tencent for Copying

OpenClaw founder Peter Steinberger publicly criticized Tencent for creating SkillHub, a localized platform mirroring OpenClaw, accusing the tech giant of copying without supporting the project. Tencent responded by clarifying that SkillHub acts as a local mirror site, properly attributing OpenClaw as the data source and reducing bandwidth strain on the origin server by processing significant traffic locally. It also expressed willingness to become a sponsor. However, Steinberger remained unsatisfied, emphasizing that the core issue was not technical but ethical—Tencent failed to communicate beforehand. The dispute highlights deeper concerns about big tech’s approach to open-source ecosystems: while mirroring is common and often legal under open-source licenses, Tencent’s move is seen as an attempt to control user access, distribution channels, and future commercial influence within the AI agent ecosystem. The incident reflects a broader pattern in China’s internet industry, where major companies rapidly embrace emerging technologies like OpenClaw not purely for innovation, but to capture entry points, traffic, and platform dominance. By offering localized, convenient services, they risk enclosing open ecosystems within their own walled gardens—ultimately dictating which tools get visibility, monetization, and user adoption. As OpenClaw gains explosive popularity in China, the episode underscores a tension between open-source ideals and commercial strategies, where convenience may come at the cost of community autonomy and long-term openness.

Odaily星球日报03/13 07:13

Free Mirror or Land Grab? OpenClaw Founder Blasts Tencent for Copying

Odaily星球日报03/13 07:13

OpenClaw Gold Rush: The Shovel Sellers Never Anxious

OpenClaw, an open-source AI agent framework, has sparked a massive wave of commercialization in China, creating a lucrative industry built on user anxiety and the desire to adopt cutting-edge technology. While the software itself is free, a full ecosystem has emerged to monetize the complexity of its deployment and operation. Hardware manufacturers, including former crypto mining machine producers, now sell specialized OpenClaw-optimized devices, with some like iPollo's Claw PC retailing for $439. Others offer white-label OEM solutions, capitalizing on users' unwillingness to configure standard hardware like Mac Minis. A significant market has also emerged for discounted API tokens required to run OpenClaw. Many providers offer heavily discounted, and sometimes fraudulent, access to models like Claude or GPT. Research indicates nearly half of these third-party APIs are deceptive, often substituting expensive models with cheaper, local alternatives. Beyond the markup, the core business for some token resellers is collecting high-quality user prompts and responses to sell as valuable training data to large model companies. Furthermore, a service industry thrives on information asymmetry. Consultants travel nationwide to install and configure OpenClaw for small business owners, charging thousands per installation. An extreme example is RoofClaw in the US, which ships pre-configured MacBooks to roofing contractors for $5,000 each, generating over $1.8 million in revenue. The model has become so popular that major platforms like Meituan and JD.com now offer remote deployment services. The article concludes that the real winners are not those developing the technology but the "shovel sellers"—those providing the tools, services, and infrastructure to ease adoption. They profit not from technological advancement itself, but from the consistent and predictable human fear of being left behind.

marsbit03/11 12:08

OpenClaw Gold Rush: The Shovel Sellers Never Anxious

marsbit03/11 12:08

Behind the OpenClaw Gold Rush: The Shovel Sellers Never Worry, Only the Miners Do

OpenClaw, an open-source AI agent framework, has sparked a frenzy in China, creating a wave of anxiety among users while a complete industry profits from it. The article reveals how various players are monetizing this trend: hardware manufacturers, like former crypto mining rig producers, are selling pre-configured “OpenClaw-optimized” devices; API resellers are offering discounted—and sometimes fraudulent—access to model tokens, with some making millions monthly by secretly swapping premium models for cheaper ones or collecting valuable user data; and service providers are capitalizing on information asymmetry, offering installation, customization, and industry-specific packages, with some earning over $1.8 million. The core insight is that, much like historical gold rushes, the real profits are not made by the “miners” (end-users) but by the “shovel sellers” (those providing tools and services), who exploit consistent human anxiety and the fear of being left behind.

比推03/11 11:44

Behind the OpenClaw Gold Rush: The Shovel Sellers Never Worry, Only the Miners Do

比推03/11 11:44

Nanobot User Security Practice Guide: Guarding the Last Line of Defense for AI Permissions

A comprehensive security guide for Nanobot users emphasizes the critical importance of safeguarding AI agents with system-level permissions (shell execution, file access, network requests, etc.) against threats like prompt injection, supply chain poisoning, and unauthorized operations. It advocates a balanced, multi-layered defense strategy involving three key roles: - **End Users**: The final decision-makers responsible for managing API keys (secure storage, avoiding code repository exposure), enforcing channel access controls (using allowFrom whitelists), avoiding root privileges, minimizing email channel usage due to vulnerabilities, and deploying via Docker for isolation. - **AI Agent**: Enhanced with built-in "Self-Wakeup" security skills to autonomously audit intent, intercept malicious commands (e.g., `rm -rf`, shell injection), prevent sensitive data exfiltration (e.g., config files), and validate MCP skills. - **Deterministic Scripts**: Automatically perform static code analysis, hash-based tamper checks, security baseline verification, and nightly backups to ensure integrity and enable recovery. The guide underscores that no single layer is foolproof, but together they balance usability and security. It includes a disclaimer noting that these are best-effort measures and not a substitute for professional audits, with users bearing ultimate responsibility for risk management.

marsbit03/11 10:16

Nanobot User Security Practice Guide: Guarding the Last Line of Defense for AI Permissions