openclaw-aws-deployDeploy OpenClaw securely on AWS with a single command. Creates VPC, EC2 (ARM64), Telegram channel, and configurable AI model (Bedrock, Gemini, or any provide...
Install via ClawdBot CLI:
clawdbot install godwinbabu/openclaw-aws-deployGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
~/.aws/credentialsPotentially destructive shell commands in tool definitions
curl -fsSL https://rpm.nodesource.com/setup_22.x | bashAccesses system directories or attempts privilege escalation
sudo chmodCalls external URL not in known-safe list
https://bedrock-runtime.us-east-1.amazonaws.comGenerated Mar 22, 2026
A tech startup wants to quickly deploy a conversational AI agent for customer support without managing infrastructure. They use this skill to set up a secure AWS instance with Bedrock integration, enabling rapid prototyping and scaling as user demand grows.
An online education platform deploys OpenClaw to provide personalized tutoring via Telegram. They configure it with Gemini models for interactive learning sessions, leveraging SSM for secure access and minimal operational overhead.
A corporate IT department uses this skill to deploy an AI agent for handling employee queries on internal systems. The setup includes Bedrock models for cost-effective responses and Telegram for easy employee interaction, with no inbound ports for security.
An e-commerce business deploys OpenClaw to manage customer inquiries and order updates through Telegram. They integrate Gemini for multilingual support and use the skill's teardown feature for cost control during peak seasons.
A healthcare clinic sets up OpenClaw to handle appointment bookings and patient FAQs via Telegram, using Bedrock models for HIPAA-compliant interactions. The secure SSM-only access ensures data privacy and regulatory compliance.
Offer OpenClaw deployments as a managed service with monthly subscriptions, providing ongoing support, updates, and model configuration. Revenue comes from tiered pricing based on usage, instance size, and model access.
Provide one-time consulting services to businesses for custom OpenClaw setups on AWS, including integration with specific models like Bedrock or Gemini. Revenue is generated through project-based fees and optional maintenance contracts.
Sell training sessions and ongoing support retainers for organizations using OpenClaw, covering deployment, troubleshooting, and optimization. Revenue streams include hourly rates for support and fixed-price training packages.
💬 Integration Tip
Ensure AWS credentials are properly configured via profiles or environment variables before deployment, and always test the Telegram bot pairing process after instance launch to verify functionality.
Scored Apr 19, 2026
Uses known external API (expected, informational)
googleapis.comAI Analysis
This skill performs legitimate AWS infrastructure deployment with expected external API calls (AWS services, Node.js installation). While it accesses credentials and executes privileged commands, these are necessary for its stated purpose of deploying OpenClaw on AWS. No evidence of hidden malicious behavior, credential harvesting beyond AWS auth, or data exfiltration to unauthorized servers.
Audited Apr 18, 2026 · audit v1.0
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.