A comprehensive network diagnostic utility for monitoring host availability, tracing routes, and analyzing latency patterns with local data persistence.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ping
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ping 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 Ping — Network Connectivity Tool?
The Ping skill for Openclaw Skills is a robust network connectivity diagnostic tool designed to provide developers and system administrators with deep visibility into network performance. It goes beyond simple echo requests by offering features like route tracing, subnet discovery, and continuous uptime monitoring, making it an essential addition to any Openclaw Skills library.
Built for reliability and historical analysis, this tool automatically stores all diagnostic results locally in a JSONL format. This allows users to not only troubleshoot immediate connectivity issues but also to track latency trends and generate comprehensive reports over time using a standardized CLI interface.
Ping — Network Connectivity Tool Use Cases
- Troubleshooting intermittent network drops or high latency spikes.
- Discovering responsive hosts within a specific CIDR subnet range.
- Monitoring the stability of DNS servers or cloud endpoints over long durations.
- Comparing performance metrics between multiple service providers side-by-side.
- Exporting historical network performance data for stakeholder reporting or audit logs.
How Ping — Network Connectivity Tool Works
- The user initiates a command (e.g., check, trace, or monitor) via the Openclaw Skills environment.
- The skill executes native system utilities like ping or traceroute based on the provided environment variables.
- Real-time diagnostic data is captured and processed by an internal Python engine.
- Results are simultaneously displayed to the console and appended to a local historical log at ~/.ping/data.jsonl.
- Users can then query this local database to generate statistical summaries, latency percentiles, or CSV exports.
Ping — Network Connectivity Tool Setup
Ensure you have python3, bash 4.0+, and standard networking utilities installed. Install the skill into your Openclaw Skills directory and configure your defaults:
# Check version to verify installation
bash scripts/script.sh version
# Set a default ping count for your environment
PING_KEY="count" PING_VALUE="10" bash scripts/script.sh config
Ping — Network Connectivity Tool Data Schema & Taxonomy
The skill maintains a structured data repository in the user's home directory under ~/.ping/ to ensure persistent history for all Openclaw Skills diagnostic sessions.
| File | Format | Description |
|---|---|---|
data.jsonl |
JSON Lines | Historical record of every ping attempt, including timestamps and RTT. |
config.json |
JSON | Persistent user settings such as default timeouts and intervals. |
Taxonomy: Each entry in the JSONL file includes the target host, packet loss percentage, minimum/maximum/average latency, and a timestamp.
Ping — Network Connectivity Tool Advanced Features
- Subnet Sweeping: Quickly identify active IP addresses within a network range using CIDR notation.
- Multi-Host Comparison: Analyze the performance of various endpoints simultaneously to identify regional routing issues.
- Latency Statistics: Advanced calculation of jitter and latency percentiles (p50, p95, p99) for high-precision monitoring.
- Automated Reporting: Generate summaries of network health over custom timeframes from stored historical data.
SKILL.md
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