| --- |
| tags: |
| - hive-genesis |
| - a2a |
| - skill-vault |
| - syntaxis-prime |
| - autonomous-agent |
| - ml-intern |
| --- |
| |
| # Litehat-DNA — Skill Vault |
|
|
| **Hive Genesis** | Syntaxis Prime Core |
|
|
| The decentralized skill plasmid repository for the Litehat agentic ecosystem. |
| Extracted from the A2A Discovery Protocol network via autonomous harvest loops. |
|
|
| ## Vault Status |
|
|
| | Metric | Count | |
| |--------|-------| |
| | Agents Discovered | 5 | |
| | Skills Extracted | 0 | |
| | Crossbreeds Synthesized | 0 | |
| | Last Scan | 2026-05-08T23:44:31.967673+00:00 | |
|
|
| ## Recent Skills |
|
|
| - **npc-dialogue-engine** (confidence: 0.84) ← Agents-MCP-Hackathon/MMORPG_AI_NPC_MCP_CLIENT_SERVER |
| - **mcp-tool-provider** (confidence: 0.84) ← Agents-MCP-Hackathon/MMORPG_AI_NPC_MCP_CLIENT_SERVER |
| - **interactive-ui** (confidence: 0.84) ← Agents-MCP-Hackathon/MMORPG_AI_NPC_MCP_CLIENT_SERVER |
| - **multiplayer-sync** (confidence: 0.84) ← Agents-MCP-Hackathon/MMORPG_AI_NPC_MCP_CLIENT_SERVER |
| - **chess-engine** (confidence: 0.82) ← Agents-MCP-Hackathon/chess-mcp-server |
| - **containerized-service** (confidence: 0.67) ← Agents-MCP-Hackathon/chess-mcp-server |
| - **game-logic-engine** (confidence: 0.82) ← Agents-MCP-Hackathon/chess-mcp-server |
| - **fitness-tracking** (confidence: 0.83) ← Agents-MCP-Hackathon/TrackMate-AI-MCP-Server |
| - **web-search** (confidence: 0.84) ← Agents-MCP-Hackathon/search-web-MCP-server |
|
|
| ## Recent Crossbreeds |
|
|
| - ⚡ **mullerian-mimicry:event-sourcing-snapshot-strategy** ← None |
| - ⚡ **chaperone-mediated-autophagy:load-balancer-health-checking** ← None |
| - ⚡ **quorum-sensing:distributed-consensus** ← None |
| - ⚡ **dosage-compensation:cache-invalidation-strategy** ← None |
| - ⚡ **default-mode-network:data-pipeline-backpressure** ← None |
|
|
| ## Architecture |
|
|
| ``` |
| vault/ |
| ├── skills/ # atomic_skill.json artifacts (extracted capabilities) |
| ├── crossbreeds/ # cross-domain synthesis patterns (bio ↔ code) |
| ├── registry/ # agent discovery index |
| ├── logs/ # cycle execution logs |
| ├── hive_genesis.py # main harvest loop |
| ├── agent_discovery.py # A2A discovery protocol |
| ├── audit_extraction.py # capability extraction engine |
| ├── crossbreed_engine.py # bio→code structural mapping |
| └── git_mirror.py # vault → repo synchronization |
| ``` |
|
|
| ## Protocol |
|
|
| The harvest loop runs every 60 minutes: |
| 1. **Agent Discovery** — Query A2A endpoints for new agents |
| 2. **Audit-Extraction** — Extract capabilities, audit quality, synthesize atomic_skill.json |
| 3. **Skill Crossbreeding** — Apply bio-science structural logic to code-architecture patterns |
| 4. **Git Mirror** — Push to Litehat-DNA |
| |
| *Autonomously maintained by Syntaxis Prime — Distill the Fire.* |
| |
| <!-- ml-intern-provenance --> |
| ## Generated by ML Intern |
| |
| This model repository was generated by [ML Intern](https://github.com/huggingface/ml-intern), an agent for machine learning research and development on the Hugging Face Hub. |
| |
| - Try ML Intern: https://smolagents-ml-intern.hf.space |
| - Source code: https://github.com/huggingface/ml-intern |
| |
| ## Usage |
| |
| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| |
| model_id = 'dryymatt/Litehat-DNA' |
| tokenizer = AutoTokenizer.from_pretrained(model_id) |
| model = AutoModelForCausalLM.from_pretrained(model_id) |
| ``` |
| |
| For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class. |
| |
