Agent skill

nets

Enhanced netstat interface for viewing internet connections, routing tables, and network statistics. Core Scenario: When the user needs an interactive way to audit network sockets (TCP/UDP) or analyze network tables.

Stars 19
Forks 4

Install this agent skill to your Project

npx add-skill https://github.com/x-cmd/skill/tree/main/data/x-cmd/nets

SKILL.md

nets - Enhanced Network Statistics

The nets module provides a user-friendly way to display network statistics, improving upon traditional netstat. It supports interactive views and structured data formats like CSV and TSV.

When to Activate

  • When the user wants to audit active TCP/UDP connections (internet table).
  • When analyzing the system's routing table in a readable format.
  • When needing structured network data (CSV/TSV) for monitoring scripts.
  • When performing a quick interactive overview of all network tables.

Core Principles & Rules

  • Interactive Browsing: Default mode allows users to select which network table to view.
  • Structured Formats: Support for --csv and --tsv for integration with other data processing tools.
  • Refresh Control: Use update to ensure the table data is current.

Patterns & Examples

View Connections

bash
# Show all active internet (TCP/UDP) connections
x nets view internet

Export Routing Table

bash
# Output the routing table as a TSV for analysis
x nets view --tsv route

Checklist

  • Confirm the specific network table (internet, route, etc.) to be viewed.
  • Verify if the output needs to be structured (CSV/TSV) for automation.

Expand your agent's capabilities with these related and highly-rated skills.

x-cmd/skill

pufferlib

High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3 instead.

19 4
Explore
x-cmd/skill

fluidsim

Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.

19 4
Explore
x-cmd/skill

metabolomics-workbench-database

Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.

19 4
Explore
x-cmd/skill

geniml

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

19 4
Explore
x-cmd/skill

zinc-database

Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.

19 4
Explore
x-cmd/skill

astropy

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

19 4
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results