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scan

The Universal Perceptual Interface for Autonomous Agents. Multi-modal deep-scan technology for telemetry, biometric data, and high-density information extraction.

agenticio0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install agenticio/scan

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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

  "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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Source information

Source
github
Repository
openclaw/skills
Path
skills/agenticio/scan
Version
—
Commit
24d12bc0db5bb9228539237bd186c12b2b221438
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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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