IP Risk Scanner for Openclaw

A professional IP security assessment tool that generates compliance reports and safety scores to protect AI coding environments from network-related bans.

kuiilabs
v2.0.1
Apr 4, 2026
0
739
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install ip-risk-scanner

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install ip-risk-scanner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is IP Risk Scanner?

The IP Risk Scanner is a specialized security utility designed to safeguard users of Claude Code and other AI agents. It functions by analyzing IP addresses against official risk management criteria, providing a safety score between 0 and 100. This skill is a vital addition to your Openclaw Skills collection, ensuring that your network environment meets the stringent reputation requirements of modern AI service providers.

By leveraging real-time data on ISP types, data center signatures, and proxy detection, the skill helps developers maintain account longevity. It provides a technical breakdown of why an IP might be flagged, ranging from residential broadband stability to the high-risk nature of Tor exit nodes. The integration of this tool within your workflow facilitates a proactive approach to network security and compliance.

IP Risk Scanner Use Cases

  • Evaluating the safety of a VPN or proxy before using AI coding tools.
  • Automating the documentation of secure network environments for audit purposes.
  • Identifying high-risk data center IPs that could trigger account restrictions.
  • Troubleshooting connectivity issues by verifying IP reputation and geographic flags.

How IP Risk Scanner Works

  1. The user provides an IP address or requests a security check within the agent interface.
  2. The skill fetches metadata including ASN, ISP reputation, and connection type (e.g., Mobile, Residential, or Data Center).
  3. It cross-references the data against risk factors like proxy usage, VPN signatures, and geographic restrictions.
  4. A comprehensive safety score is calculated based on current AI platform risk-control mechanisms.
  5. If the safety score is 80 or higher, the skill automatically generates and saves a Markdown report to a specified Obsidian vault.

IP Risk Scanner Setup

To get started with this skill in your Openclaw Skills environment, ensure your Obsidian path is correctly mapped. You can initiate a scan by simply typing an IP address or asking for a risk assessment.

# Example trigger within the agent
Check the risk for IP: 1.1.1.1

# Ensure your Obsidian vault is accessible at:
/Users/yourname/Documents/Obsidian Vault/IP Reports/

IP Risk Scanner Data Schema & Taxonomy

The skill organizes its findings into structured Markdown files with the following metadata taxonomy:

Attribute Type Description
safety_score Integer The final 0-100 safety rating
safety_level String Qualitative risk assessment (e.g., Very Safe)
ip_address String The target IP address being scanned
isp String The identified Internet Service Provider
tags Array SEO and organizational tags like ip-risk or security

IP Risk Scanner Advanced Features

  • Intelligent Obsidian Sync: Automatically archives high-reputation IP reports for future compliance reference.
  • Deep Risk Factor Deduction: Provides specific point deductions for Tor nodes, commercial VPNs, and unknown operators.
  • Claude-Compatible Scoring: Uses a scoring logic that mimics official AI platform auditing systems.
  • Multi-Source Validation: Links to external deep-scan tools for WebRTC and DNS leak verification.
  • Historical Tracking: Organizes saved reports by date and score to help monitor network stability over time as part of your Openclaw Skills workflow.

SKILL.md


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