MiroFish — OpenCode Agent Guide

Orchestrate OpenCode agents in Docker to predict crypto price direction consensus.

1|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/0xtrou/yggdrasight --skill mirofish-opencode-agent-guide
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: MiroFish — OpenCode Agent Guide
Source: https://github.com/0xtrou/yggdrasight/tree/main/docker/mirofish
Command: npx skills add https://github.com/0xtrou/yggdrasight --skill mirofish-opencode-agent-guide

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MiroFish OpenCode Agent Guide enables running an OpenCode agent inside a Docker container to obtain a crypto price direction prediction for the symbol specified in INSTRUCTIONS.md using the MiroFish swarm intelligence backend. MiroFish coordinates a swarm of AI traders/analysts on simulated platforms to debate and synthesize a consensus prediction, avoiding exposure of internal IDs, simulation URLs, or MiroFish jargon in the final output.

Core Features & Use Cases

  • Orchestrates OpenCode agents inside a Dockerized MiroFish backend to generate a consensus price direction (bullish, bearish, neutral) for a given symbol.
  • Supports a deterministic workflow: seed, graph/ontology generation, multi-agent analysis via back-end backends, and synthesis into a structured verdict.
  • Use Case: traders or researchers seeking reproducible, swarm-based market insight for a crypto asset without relying on a single-model forecast.

Quick Start

Start by launching the OpenCode agent inside the mirofish container and follow the steps in the guide to generate a crypto price direction prediction.

Frequently Asked Questions about MiroFish — OpenCode Agent Guide

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get a consensus crypto price direction signal using a multi-agent swarm?

You obtain a consensus crypto price direction signal by launching an OpenCode agent inside a Dockerized MiroFish backend, which orchestrates parallel agent simulations to debate and synthesize a structured bullish, bearish, or neutral verdict.

What is swarm intelligence for crypto market analysis?

Swarm intelligence for crypto market analysis coordinates multiple AI traders on simulated platforms to debate and synthesize reproducible market insight, avoiding reliance on a single-model forecast.

Can I run OpenCode agents in Docker to generate crypto trading signals?

Yes, you can run OpenCode agents inside a Docker container using the MiroFish backend to execute a deterministic workflow of seed data intake, ontology generation, and multi-agent analysis for crypto trading signals.

Does the MiroFish swarm output specific price forecasts or market direction predictions?

The MiroFish swarm outputs consensus-based market direction predictions—bullish, bearish, or neutral—rather than specific price forecasts, providing a structured verdict with a confidence metric.

How do I configure a specific crypto asset for multi-agent analysis?

You configure a specific crypto asset for multi-agent analysis by specifying the desired symbol within the INSTRUCTIONS.md file before starting the OpenCode agent in the Docker container.

What are the limitations of using consensus-based agent swarms for crypto signals?

A limitation of consensus-based agent swarms is that they provide aggregated reasoning for market direction rather than exact price forecasts, and they require running a Dockerized backend for orchestration.