Wi-Fi Diagnostics for Openclaw

A comprehensive Linux-based diagnostic tool for analyzing Wi-Fi signal strength, channel congestion, and network throughput.

sa9saq
v1.1.0
Feb 8, 2026
0
0
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install wifi-diagnostics

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 wifi-diagnostics 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 Wi-Fi Diagnostics?

The Wi-Fi Diagnostics skill is a specialized tool designed for Linux environments to troubleshoot and optimize wireless connectivity. It provides deep visibility into network health by aggregating data from system utilities to analyze signal quality, identify channel interference, and measure actual data throughput. By using this skill within the Openclaw Skills ecosystem, users can automate the detection of network bottlenecks and receive actionable advice on configuration improvements.

This skill is particularly valuable for developers and system administrators who need to maintain stable connections for remote work or server management. It goes beyond basic connectivity checks by performing localized scans of the wireless spectrum and validating external performance through standardized speed and DNS latency tests.

Wi-Fi Diagnostics Use Cases

  • Troubleshooting intermittent connection drops or slow internet speeds on Linux workstations.
  • Identifying the least congested Wi-Fi channel in crowded residential or office environments.
  • Benchmarking network performance before and after hardware or router configuration changes.
  • Verifying DNS responsiveness to resolve browsing latency issues.
  • Monitoring signal degradation in different physical locations using automated CLI reporting.

How Wi-Fi Diagnostics Works

  1. The skill identifies the active network interface and retrieves current connection parameters like SSID, signal dBm, and frequency.
  2. It performs a comprehensive scan of all available nearby wireless networks to build a channel utilization map.
  3. The tool executes real-world performance tests by downloading and uploading small data packets via Cloudflare endpoints.
  4. It measures DNS query resolution times and ping latency to global nameservers like Google and Cloudflare.
  5. All collected data is processed and formatted into a structured report with color-coded status indicators based on predefined performance thresholds.

Wi-Fi Diagnostics Setup

To use this skill, ensure your Linux system has the necessary network utilities installed. You can install the requirements using your package manager:

sudo apt update && sudo apt install network-manager curl dnsutils wireless-tools

Note: Some scanning functions require root privileges. Ensure the user running the Openclaw Skills agent has appropriate permissions to execute nmcli and iw commands.

Wi-Fi Diagnostics Data Schema & Taxonomy

The skill generates a structured diagnostic report following this schema:

  • Network Identity: Captures ESSID, BSSID, and Frequency (2.4GHz vs 5GHz).
  • Signal Metrics: Measures Signal Strength (dBm) and Quality (%).
  • Performance Data: Records Download/Upload speeds in Mbps and Latency in ms.
  • Spectrum Analysis: Summarizes network counts per channel and suggests optimal frequencies.
  • Status Mapping:
    Metric Good (🟢) Fair (🟡) Poor (🔴)
    Signal >60% 30-60% <30%
    Speed >25Mbps >5Mbps <5Mbps

Wi-Fi Diagnostics Advanced Features

  • Multi-utility fallback: Automatically switches between nmcli, iwconfig, and iw depending on system availability.
  • VPN Awareness: Detects active VPN tunnels that might skew speed test results and flags them in the report.
  • Intelligent Channel Recommendations: Analyzes both network count and average signal strength on adjacent channels to suggest the best local frequency.
  • Non-intrusive Speed Testing: Uses lightweight curl commands to measure throughput without requiring heavy external dependencies or browser engines.
  • Integration Ready: Designed to be called by other Openclaw Skills for automated environment health checks.

SKILL.md


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