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OpenClaw

scan

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

agenticio0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install agenticio/scan

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

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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Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/agenticio/scan
Version
—
Commit
24d12bc0db5bb9228539237bd186c12b2b221438
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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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