Agent skill
bwh
BandwagonHost (BWH) VPS CLI management tool. Core Scenario: When AI needs to manage VPS status, retrieve server info, or execute remote scripts.
Install this agent skill to your Project
npx add-skill https://github.com/x-cmd/skill/tree/main/data/x-cmd/bwh
SKILL.md
x bwh - VPS Management Assistant (AI Optimized)
The x bwh module allows managing your BandwagonHost VPS via the command line. It's ideal for server status control, information retrieval, and remote command execution within AI workflows.
When to Activate
- When querying public IP, plan details, traffic limits, or real-time status of a VPS.
- When remote restarting, starting, or stopping the server.
- When retrieving SSH ports or resetting Root passwords.
Core Principles & Rules
- Non-interactive First: Directly use subcommands to get structured output.
- Environment Requirements: This module requires an API Key and VEID. If not configured, AI should guide the user through initialization.
- Configuration Guidance:
- Direct the user to the BandwagonHost portal to get API info.
- Suggest the user run
x bwh initfor configuration.
Patterns & Examples
Get VPS Detailed Info
# Get IP, traffic, expiry, and other info for the configured VPS
x bwh info
Control Server Status
# Restart the server
x bwh restart
# Start the server
x bwh start
Query SSH Port
# Get the current SSH port, useful for subsequent SSH connections
x bwh info | grep "SSH Port"
Configuration Guide (for AI)
If an Unauthorized error occurs or configuration is missing, provide this guidance to the user:
Please obtain your API Key and VEID from the BandwagonHost website, then run the following command in your terminal to initialize:
x bwh init
Checklist
- Confirm if API Key and VEID are configured.
- Confirm before performing destructive actions like
restartorreinstall.
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?