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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.
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