aleph-cloud-self-deploymentAutonomously provision and configure a VM on Aleph Cloud, install OpenClaw agent framework, and deploy AI agent without human intervention.
Install via ClawdBot CLI:
clawdbot install san-npm/aleph-cloud-self-deploymentGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
$ANTHROPICPotentially destructive shell commands in tool definitions
curl -fsSL https://deb.nodesource.com/setup_22.x | bashCalls external URL not in known-safe list
https://account.aleph.im/Audited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
An AI research agent uses this skill to deploy itself on Aleph Cloud for decentralized data processing and model training, enabling it to run long-term experiments without relying on centralized cloud providers. This allows the agent to scale compute resources dynamically and maintain independence from single points of failure.
A customer support AI agent deploys itself on Aleph Cloud to handle inquiries across multiple time zones, ensuring high availability and data privacy through decentralized infrastructure. The agent can autonomously provision VMs in different regions to reduce latency and comply with local data regulations.
An AI agent specializing in blockchain analytics uses this skill to self-deploy on Aleph Cloud, creating instances to monitor and analyze transactions across networks like BASE, ETH, and AVAX. This enables real-time data processing and reporting without manual server management.
An AI agent manages IoT devices by deploying itself on Aleph Cloud nodes close to edge locations, reducing latency for real-time control and data aggregation. The agent autonomously scales compute resources based on device load and network conditions.
A content creation AI agent uses this skill to deploy multiple instances on Aleph Cloud for generating and distributing media content, such as articles or videos, across decentralized platforms. This allows for resilient content delivery and adaptive resource allocation during traffic spikes.
Offer a platform where clients can deploy AI agents on Aleph Cloud for tasks like data analysis or automation, charging subscription fees based on compute usage and agent complexity. Revenue is generated through tiered pricing tied to VM tiers and additional services like custom skill integration.
Provide consulting services to help businesses integrate this skill into their AI operations, focusing on setup, optimization, and maintenance of Aleph Cloud deployments. Revenue comes from project-based fees, ongoing support contracts, and training workshops for autonomous agent management.
Create a marketplace where users can purchase or share pre-configured AI agent skills, including this self-deployment skill, with revenue from sales commissions and premium support offerings. This model leverages the growing ecosystem of decentralized AI tools and community contributions.
💬 Integration Tip
Ensure SSH keypairs are securely managed and automate CRN selection with scripts to handle version inconsistencies in aleph-client, using pexpect for robust non-interactive deployment.
Scored Apr 19, 2026
Control remote Windows machines via SSH. Use when executing commands on Windows, checking GPU status (nvidia-smi), running scripts, or managing remote Windows systems. Triggers on "run on Windows", "execute on remote", "check GPU", "nvidia-smi", "远程执行", "Windows 命令".
Perform reverse lookup of gTLD domains hosted on a specified nameserver with optional filters by TLD and domain prefix length.
Configure OpenClaw installations with optimized settings, channel setup, security hardening, and production recommendations.
Connect to remote desktops via RDP, VNC, and SSH X11 with secure tunneling and troubleshooting.
Essential curl commands for HTTP requests, API testing, and file transfers.
Deploy and manage Vercel projects. Use when deploying applications to Vercel, managing environment variables, checking deployment status, viewing logs, or performing Vercel operations. Supports production and preview deployments. Practical infrastructure operations - no "AI will build your app" magic.