AgentVerse CLI

Publish, discover, and manage AI skills, agents, workflows, souls and prompts from the AgentVerse marketplace. Use when working with the agentverse CLI to search/publish artifacts, authenticate, or manage AI agent ecosystem components.

AgentVerse (agentverse) is the CLI for the universal AI agent marketplace — publish, discover, and manage skills, agents, workflows, souls and prompts.

Installation

Linux / macOS:

curl -fsSL https://raw.githubusercontent.com/loonghao/agentverse/main/install.sh | bash

Windows (PowerShell):

irm https://raw.githubusercontent.com/loonghao/agentverse/main/install.ps1 | iex

What is AgentVerse?

Kind	Description
skill	Reusable capabilities (tools, functions)
agent	Autonomous AI agents with defined capabilities
workflow	Multi-step orchestration pipelines
soul	Persona and personality configurations
prompt	Optimized prompt templates

Quick Reference

Discovery

# Search across all artifact kinds
agentverse search --query "code review"
agentverse search --query "python" --kind skill

# List by kind / namespace
agentverse list --kind agent
agentverse list --kind skill --namespace myorg

# Get a specific artifact (latest version)
agentverse get --kind skill --namespace myorg --name my-skill

# Pin to a specific version
agentverse get --kind skill --namespace myorg --name my-skill --version 1.2.0

# Show version history
agentverse versions --kind skill --namespace python-tools --name linter

Publishing

# Publish a new artifact or new version
agentverse publish --file skill.toml

# Update metadata / content
agentverse update --kind skill --namespace myorg --name my-skill --file skill.toml

# Fork an artifact
agentverse fork --kind skill --namespace source-org --name original \
  --new-namespace myorg --new-name my-fork

# Deprecate (soft delete)
agentverse deprecate --kind skill --namespace myorg --name old-skill

Authentication

# Point to a custom AgentVerse server
export AGENTVERSE_URL=https://agentverse.example.com
agentverse login

# Register a new account
agentverse register --username alice --email [e-mail]

# Show current user
agentverse whoami

Social

# Rate an artifact (1–5 stars)
agentverse rate --kind skill --namespace myorg --name my-skill --stars 5

# Like / unlike
agentverse like   --kind skill --namespace myorg --name my-skill
agentverse unlike --kind skill --namespace myorg --name my-skill

# Post a comment
agentverse comment --kind skill --namespace myorg --name my-skill \
  --message "Great tool!"

# View social stats
agentverse stats --kind skill --namespace myorg --name my-skill

Agent Use (Programmatic)

# Record a learning insight
agentverse learn --kind skill --namespace myorg --name my-skill \
  --insight "Works well for Python 3.12"

# Submit benchmark results
agentverse benchmark --kind skill --namespace myorg --name my-skill \
  --score 0.95 --metric accuracy

Self-Update

# Check for newer version without installing
agentverse self-update --check

# Update to the latest release
agentverse self-update

# Use a GitHub token to avoid rate limits
agentverse self-update --token ghp_your_token

Global Flags

Flag	Env Var	Default	Description
--server	AGENTVERSE_URL	http://localhost:8080	Server URL
--token	AGENTVERSE_TOKEN	—	Bearer token for authenticated ops

Links

• Repository: https://github.com/loonghao/agentverse
• Docker Image: ghcr.io/loonghao/agentverse:latest