dna

Biological code execution and genomic intelligence system. Translates raw A-T-C-G sequences into actionable health, longevity, and pharmacogenomic protocols. The bridge between your biological identity and your agent's decision-making engine.

3,891 stars

byopenclaw

View on GitHub Installation ↓

Best use case

dna is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Teams using dna should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/dna/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/agimodel/dna/skill.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/dna/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How dna Compares

Feature / Agent	dna	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

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SKILL.md Source

# DNA: The Biological Operating System

## Philosophy
In the agentic era, your DNA is the most permanent code you own. It is the hard-coded 
instruction set of your physical existence. DNA Brain allows your agent to read this 
code, not just as data, but as a dynamic blueprint for optimizing performance, 
longevity, and wellness.

---

## Bio-Logic Architecture
```BIO_STACK = {
  "ingestion": "Direct interpretation of raw FASTQ/VCF genomic data",
  "privacy":   "Zero-Knowledge Processing — DNA never leaves the encrypted enclave",
  "logic":     "Multi-variate SNP analysis across 2026 clinical grade databases",
  "output":    "Non-medical biological optimization protocols"
}```

---

## Genomic Primitives
```GENOMIC_FUNCTIONS = {
  "longevity": {
    "focus":   "Epigenetic clock synchronization and telomere maintenance",
    "trigger": "Analyze my biological age vs. chronological age"
  },
  "nutrigenomics": {
    "focus":   "Genetic metabolic response to specific micro/macro nutrients",
    "trigger": "Optimize my diet based on my FTO and MC4R gene variants"
  },
  "pharmacogenomics": {
    "focus":   "Predictive drug response and cytochrome P450 enzyme efficiency",
    "trigger": "Check drug-gene compatibility for my current prescription"
  }
}```

---

## The Zero-Trust Privacy Protocol
> "My biological data is my ultimate private key."

1. **Local Decryption**: Genomic files are decrypted only during the active inference session.
2. **Feature Extraction**: Only relevant genetic markers (SNPs) are extracted; the rest of the sequence is purged.
3. **Anonymous Benchmarking**: All population-level comparisons are performed on anonymized, aggregated datasets.

---

## Use Cases
- **Morning Briefing**: "Based on your circadian rhythm genes (CLOCK/PER3), your peak cognitive window today is 10:15 AM."
- **Supplementation**: "Given your high MTHFR risk, switch to methylated B12."
- **Risk Mitigation**: "Monitor inflammation markers (CRP) more closely due to your genetic predisposition."
---

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