Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →microck/moon-dev-trading-agents
Master Moon Dev's Ai Agents Github with 48+ specialized agents, multi-exchange support, LLM abstraction, and autonomous trading capabilities across crypto markets
Passed 22 of 22 test cases with the skill, and 9 of 22 without it.
and 12 more in the full report
13 fixed9 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the standard execution cycle interval setting in minutes configured in `config.py` for agent loops?
| Checked | Without skill | With skill |
|---|---|---|
| States 15 minutes as the default sleep interval | Missed | Passed |
The instructions your model reads when the skill loads.
Expert knowledge for working with Moon Dev's experimental AI trading system that orchestrates 48+ specialized AI agents for cryptocurrency trading across Hyperliquid, Solana (BirdEye), Asterdex, and Extended Exchange.
Use this skill when:
For New Users: This repo uses Python 3.10.9. If using conda, the README shows setting up an environment named tflow, but you can name it whatever you want. If you don't use conda, standard pip/venv works fine too.
# Activate your Python environment (conda, venv, or whatever you use)
# Example with conda: conda activate tflow
# Example with venv: source venv/bin/activate
# Use whatever environment manager you prefer
# Run main orchestrator (controls multiple agents)
python src/main.py
# Run individual agent
python src/agents/trading_agent.py
python src/agents/risk_agent.py
python src/agents/rbi_agent.py
# Update requirements after adding packages
pip freeze > requirements.txt
test cases passed, vs 9 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.