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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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| cloud | ||
| evaluation | ||
| inference | ||
| models | ||
| research | ||
| training | ||
| vector-databases | ||
| DESCRIPTION.md | ||