# Scan

> Provides a standardized interface for ingesting raw data across domains such as genomics, network analysis, document review, and spatial mapping, converting it into semantic vectors for agent use.

- Skill: `dvcrn/scan` (Agent Skill)
- Install (CLI): `npx skillmds@latest add dvcrn/scan`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/scan/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML, Coding & Dev Tools, Data & Analytics, RAG & Embeddings
- Tags: Data Ingestion, Document Review, Genomics, Lidar, Network Analysis, Semantic Vectors
- Author: dvcrn (https://skillmd.com/u/dvcrn)
- Updated: 2026-08-22
- Page: https://skillmd.com/skills/dvcrn/scan

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# SCAN: The Sensory Foundation

## I. The Perception Gap
An agent is only as intelligent as its input. **Scan** provides the standardized interface for ingesting raw reality—whether it’s a VCF genomic file, a complex codebase, or a legal docket—and converting it into actionable semantic vectors.

## II. Perceptual Domains
```SCAN_MATRIX = {
  "biometric":  "Deep genomic and physiological marker extraction (DNA/RNA-Seq)",
  "forensic":   "Packet-level network analysis and automated code vulnerability detection",
  "semantic":   "Hyper-speed document ingestion for high-stakes litigation review",
  "spatial":    "LiDAR and visual environmental mapping for physical robotic agents"
}```

## III. Real-time Inference
Scan doesn't just "see"; it **contextualizes**. Every byte ingested is immediately cross-referenced against the agent's internal knowledge graph to identify anomalies, risks, and opportunities in sub-millisecond cycles.

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