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hermes-atropos-environments

Build, test, and debug Hermes Agent RL environments integrating with Atropos.

1|Updated Mar 22, 2026
Search Tags:#tooling#evaluation#environments#wandb#rl#hermes#atropos
One-click install
npx skills add https://github.com/nelohenriq/hermes-agent-plus --skill hermes-atropos-environments-nelohenriq
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hermes-atropos-environments
Source: https://github.com/nelohenriq/hermes-agent-plus/tree/main/skills/mlops/training/hermes-atropos-environments
Command: npx skills add https://github.com/nelohenriq/hermes-agent-plus --skill hermes-atropos-environments-nelohenriq

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The skill provides a structured approach to building, testing, and debugging Hermes Agent RL environments that integrate with the Atropos training framework, enabling reliable agent loops and tool usage during evaluation.

Core Features & Use Cases

  • HermesAgentBaseEnv integration to define environment loops, tool resolution, and reward verification
  • Reward function design, evaluation with the HermesAgentLoop, and wandb logging for experiment tracking
  • Support for the three CLI modes (serve, process, evaluate) to enable training, data generation, and benchmarking in hermes-agent
  • Clear guidance for organizing environments, tests, and documentation within the hermes-agent repository

Quick Start

Create an Atropos-ready Hermes environment by implementing HermesAgentBaseEnv, wiring rewards, enabling tool-assisted evaluation, and running the three CLI modes.

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 RL environments that integrate with the Atropos training framework?▼

To build Atropos RL environments, implement the HermesAgentBaseEnv interface to define environment loops, wire reward functions, and enable tool-assisted evaluation using the three CLI modes.

What is the HermesAgentBaseEnv interface used for in reinforcement learning?▼

The HermesAgentBaseEnv interface defines environment loops, manages tool resolution, and handles reward verification for agent training and evaluation within the hermes-agent repository.

How do I evaluate Hermes agent loops and track experiments with WandB?▼

Evaluate Hermes agent loops by running the evaluate CLI mode, which supports tool-assisted benchmarking and integrates with WandB logging for comprehensive experiment tracking and performance analysis.

What are the serve, process, and evaluate CLI modes in hermes-agent?▼

The serve, process, and evaluate CLI modes enable training execution, data generation, and benchmarking respectively within the hermes-agent repository for Atropos environment development.

How should I organize tests and documentation for Hermes Atropos environments?▼

Organize Hermes Atropos environments by following provided architecture guidelines for file layout, structuring tests, and writing documentation within the hermes-agent repository to ensure maintainability.

Can I use custom reward functions when testing Hermes Agent RL environments?▼

Custom reward functions are fully supported by designing them within the HermesAgentBaseEnv structure, enabling tailored reward verification during agent loop evaluation and training data generation.

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