Agent skill
tping
Ping TCP ports using curl to test service availability and network connectivity. Core Scenario: When the user needs to check if a specific TCP port (e.g., 80, 443) is open and responsive.
Install this agent skill to your Project
npx add-skill https://github.com/x-cmd/skill/tree/main/data/x-cmd/tping
SKILL.md
tping - TCP Port Connectivity Test
The tping module uses curl to perform TCP connection tests to specific ports on a target host. It is ideal for verifying service availability when ICMP (standard ping) is blocked.
When to Activate
- When testing if a web server (port 80/443) or custom service is reachable.
- When standard ICMP ping is disabled by a firewall on the target.
- When needing visual metrics (heatmap/bar) for TCP connection times.
Core Principles & Rules
- Port Specificity: Allows testing connectivity to any TCP port (default is 80).
- Visualization: Supports the same heatmap and bar chart modes as the enhanced
pingmodule.
Patterns & Examples
Basic Port Check
# Test TCP connectivity to port 80 of a domain
x tping bing.com
Custom Port with Visualization
# Check port 443 with a real-time bar chart
x tping --bar bing.com:443
Checklist
- Confirm the target host and port number.
- Verify if standard ping is insufficient for the task.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
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.
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.
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.
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.
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.
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.
Didn't find tool you were looking for?