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hermes-atropos-environments

Build, test and debug RL environments compatible with HermesAgentBaseEnv interfaces and Atropos training loops.

2|Updated Apr 25, 2026
Search Tags:#evaluation#agent-loop#rl-environments#atropos#hermes-agent#wandb-logging#tool-resolution
One-click install
npx skills add https://github.com/AlexiosBluffMara/mercury --skill hermes-atropos-environments-alexiosbluffmara
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hermes-atropos-environments
Source: https://github.com/AlexiosBluffMara/mercury/tree/main/optional-skills/mlops/hermes-atropos-environments
Command: npx skills add https://github.com/AlexiosBluffMara/mercury --skill hermes-atropos-environments-alexiosbluffmara

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Hermes Atropos Environments provide a structured framework to build, test, and debug RL environments that integrate with the Atropos training loop for Hermes Agent, ensuring consistency across environment interfaces and tooling.

Core Features & Use Cases

  • Implements HermesAgentBaseEnv integration, reward shaping, and tool-enabled agent loops.
  • Supports full agent-loop evaluation with tools, wandb logging, and the three CLI modes: serve, process, and evaluate.
  • Ideal for creating, reviewing, or fixing hermes-agent RL environments in both research and production contexts.

Quick Start

Configure your environment and run the serve mode to start building and testing Hermes RL environments.

Frequently Asked Questions about hermes-atropos-environments

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

FAQPage Schema
How do I build and test RL environments for Atropos training?▼

You can debug Hermes agent RL environments by running the process and evaluate CLI modes, which execute multi-turn agent loops and compute rewards to help isolate issues in tool resolution and environment interface compatibility.

How does tool resolution work in multi-turn agent loops?▼

Hermes Atropos environments support tool resolution by implementing multi-turn agent loops that interface with HermesAgentBaseEnv, enabling dynamic tool selection and execution during training and evaluation.

Does this environment framework support wandb logging for agent evaluation?▼

The framework includes wandb logging across all three CLI modes—serve, process, and evaluate—so you can monitor agent evaluation metrics and reward computation throughout the training loop.

Can I use this to create custom configs for tool-integrated RL environments?▼

Creating custom configs requires defining environment logic compatible with HermesAgentBaseEnv, setting up reward computation, and testing through the serve, process, and evaluate CLI workflows.

What's the best way to structure reward computation in a Hermes agent environment?▼

Reward computation should be implemented inside your HermesAgentBaseEnv subclass, with shaping logic applied during the agent loop and results validated through the evaluate CLI mode and wandb logging.

Why is my Hermes agent environment not working with the Atropos training loop?▼

Common causes include missing compatibility with HermesAgentBaseEnv interfaces, incomplete reward computation logic, or lack of support for the three required CLI modes—serve, process, and evaluate.

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