hermes-agent

Timmy_Foundation/hermes-agent

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Author	SHA1	Message	Date
teknium1	6ab3ebf195	Add hermes-atropos-environments skill (bundled) 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.	2026-03-09 23:04:17 -07:00
teknium1	0ff7fe3ee2	Merge PR #439 : docs: fix spelling of 'publicly' Authored by JackTheGit. Simple typo fix: publically → publicly in axolotl reference docs.	2026-03-09 20:55:37 -07:00
teknium1	732c66b0f3	refactor: reorganize skills into sub-categories The skills directory was getting disorganized — mlops alone had 40 skills in a flat list, and 12 categories were singletons with just one skill each. Code change: - prompt_builder.py: Support sub-categories in skill scanner. skills/mlops/training/axolotl/SKILL.md now shows as category 'mlops/training' instead of just 'mlops'. Backwards-compatible with existing flat structure. Split mlops (40 skills) into 7 sub-categories: - mlops/training (12): accelerate, axolotl, flash-attention, grpo-rl-training, peft, pytorch-fsdp, pytorch-lightning, simpo, slime, torchtitan, trl-fine-tuning, unsloth - mlops/inference (8): gguf, guidance, instructor, llama-cpp, obliteratus, outlines, tensorrt-llm, vllm - mlops/models (6): audiocraft, clip, llava, segment-anything, stable-diffusion, whisper - mlops/vector-databases (4): chroma, faiss, pinecone, qdrant - mlops/evaluation (5): huggingface-tokenizers, lm-evaluation-harness, nemo-curator, saelens, weights-and-biases - mlops/cloud (2): lambda-labs, modal - mlops/research (1): dspy Merged singleton categories: - gifs → media (gif-search joins youtube-content) - music-creation → media (heartmula, songsee) - diagramming → creative (excalidraw joins ascii-art) - ocr-and-documents → productivity - domain → research (domain-intel) - feeds → research (blogwatcher) - market-data → research (polymarket) Fixed misplaced skills: - mlops/code-review → software-development (not ML-specific) - mlops/ml-paper-writing → research (academic writing) Added DESCRIPTION.md files for all new/updated categories.	2026-03-09 03:35:53 -07:00

Author

SHA1

Message

Date

teknium1

6ab3ebf195

Add hermes-atropos-environments skill (bundled)

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.

2026-03-09 23:04:17 -07:00

teknium1

0ff7fe3ee2

Merge PR #439 : docs: fix spelling of 'publicly'

Authored by JackTheGit. Simple typo fix: publically → publicly in axolotl reference docs.

2026-03-09 20:55:37 -07:00

teknium1

732c66b0f3

refactor: reorganize skills into sub-categories

The skills directory was getting disorganized — mlops alone had 40
skills in a flat list, and 12 categories were singletons with just
one skill each.

Code change:
- prompt_builder.py: Support sub-categories in skill scanner.
  skills/mlops/training/axolotl/SKILL.md now shows as category
  'mlops/training' instead of just 'mlops'. Backwards-compatible
  with existing flat structure.

Split mlops (40 skills) into 7 sub-categories:
- mlops/training (12): accelerate, axolotl, flash-attention,
  grpo-rl-training, peft, pytorch-fsdp, pytorch-lightning,
  simpo, slime, torchtitan, trl-fine-tuning, unsloth
- mlops/inference (8): gguf, guidance, instructor, llama-cpp,
  obliteratus, outlines, tensorrt-llm, vllm
- mlops/models (6): audiocraft, clip, llava, segment-anything,
  stable-diffusion, whisper
- mlops/vector-databases (4): chroma, faiss, pinecone, qdrant
- mlops/evaluation (5): huggingface-tokenizers,
  lm-evaluation-harness, nemo-curator, saelens, weights-and-biases
- mlops/cloud (2): lambda-labs, modal
- mlops/research (1): dspy

Merged singleton categories:
- gifs → media (gif-search joins youtube-content)
- music-creation → media (heartmula, songsee)
- diagramming → creative (excalidraw joins ascii-art)
- ocr-and-documents → productivity
- domain → research (domain-intel)
- feeds → research (blogwatcher)
- market-data → research (polymarket)

Fixed misplaced skills:
- mlops/code-review → software-development (not ML-specific)
- mlops/ml-paper-writing → research (academic writing)

Added DESCRIPTION.md files for all new/updated categories.

2026-03-09 03:35:53 -07:00

3 Commits