---
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.