skills.rest
anajuliabit
anajuliabitCOMMUNITY
Explore all skills by this author →
𝕏@anajuliabitGitHub

Reppo Trading Agent

Construct labeled Hyperliquid perp trade datasets from public fills and candles.

6|2|Updated May 21, 2026
Search Tags:#autonomous agents#data verification#hyperliquid#market context#trading datasets#reppo pods#mint intent
One-click install
npx skills add https://github.com/anajuliabit/aeon --skill reppo-trading-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Reppo Trading Agent
Source: https://github.com/anajuliabit/aeon/tree/main/skills/reppo-trading-agent
Command: npx skills add https://github.com/anajuliabit/aeon --skill reppo-trading-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns public Hyperliquid (HL) data into labeled, verifiable perp-trade datasets and produces Reppo mint/vote intents without requiring ongoing manual intervention.

Core Features & Use Cases

  • Builds labeled HL perp trade datasets from leaderboard-ranked wallets by joining HL user fills with HL OHLCV and deriving signal taxonomy, market context, verification hashes, and aggregate metrics.
  • Enforces strict data freshness and rubric compliance by reading the current run’s .hl-cache/ files (or degrading via web fallback) and skipping wallets/datasets that can’t be verified or don’t meet minimum evaluation volume.
  • Writes autonomous intent files for datanet 9 (TradingGymAI) by hashing candidate datasets, selecting top performers by Sharpe (tie-broken by trade count), and emitting .pending-reppo/mint-*.json plus .pending-reppo/vote-*.json where applicable.

Quick Start

Run the skill in your Aeon/Reppo pipeline and let it generate mint and vote intent files from the freshly pre-fetched .hl-cache/ inputs for datanet 9 (TradingGymAI).

Frequently Asked Questions about Reppo Trading Agent

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

FAQPage Schema
How do I automate Hyperliquid perp trade dataset generation?▼

To automate Hyperliquid perp trade dataset generation, you can use an orchestrator to join public HL user fills with OHLCV data, derive market context, and output labeled datasets without ongoing manual intervention.

What are Reppo mint intents and how do they work with trading datasets?▼

Reppo mint intents are JSON files generated by hashing verified trading datasets and selecting top performers by Sharpe ratio. They are written to a pending directory to signal downstream datanet execution.

How do I validate Hyperliquid data freshness for trading datasets?▼

You validate Hyperliquid data freshness by reading the current run’s `.hl-cache/` artifacts. The workflow skips wallets or datasets that cannot be verified or fail to meet minimum evaluation volume thresholds.

Do I need pre-fetched cache files to build Hyperliquid datasets?▼

Yes, you need pre-fetched `.hl-cache/` files as inputs to build Hyperliquid datasets. If these artifacts are missing, the system degrades via a web fallback to maintain dataset generation workflows.

What are the limitations of autonomous trading dataset minting?▼

Limitations of autonomous trading dataset minting include skipping datasets that fail rubric compliance or lack verification hashes. The workflow strictly enforces minimum evaluation volume thresholds, rejecting incomplete data.

Related Skills

Explore More Data & Analytics Skills→
sgcarstrendssgcarstrends
21

server-actions

Create or update Next.js server actions with Zod validation and cache revalidation.

Official
Advanced
anajuliabitanajuliabit
6

Reppo Orchestrator

Route daily datanet agent RUN/SKIP decisions and emit a reppo-plan block.

Community
Intermediate
JubaKitiashviliJubaKitiashvili
41

erne-orchestrate

Coordinate multi-agent plan-to-validate pipelines across React Native/Expo projects.

Community
Advanced
nadicodeainadicodeai

hyperliquid

Fetch Hyperliquid market data and account history via public endpoints.

Official
Intermediate