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Add comprehensive skill for building, testing, and debugging Hermes Agent RL environments for Atropos training. Includes: - SKILL.md: Full guide covering HermesAgentBaseEnv interface, required methods, config class, CLI modes (serve/process/evaluate), reward function patterns, common pitfalls, and minimum implementation checklist - New 'Inference Setup' section: instructs the agent to always ask the user for their inference provider (OpenRouter + model choice, self-hosted VLLM endpoint, or other OpenAI-compatible API) before running tests - references/agentresult-fields.md: AgentResult dataclass field reference - references/atropos-base-env.md: Atropos BaseEnv API reference - references/usage-patterns.md: Step-by-step patterns for process, evaluate, serve, and smoke test modes Will be auto-synced to ~/.hermes/skills/ via skills_sync. |
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| .. | ||
| accelerate | ||
| axolotl | ||
| flash-attention | ||
| grpo-rl-training | ||
| hermes-atropos-environments | ||
| peft | ||
| pytorch-fsdp | ||
| pytorch-lightning | ||
| simpo | ||
| slime | ||
| torchtitan | ||
| trl-fine-tuning | ||
| unsloth | ||
| DESCRIPTION.md | ||