Skills scan

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/agenticio/scan" ~/.openclaw/skills/openclaw-skills-scan && rm -rf "$T"
manifest: skills/agenticio/scan/skill.md
source content

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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