OpenClaw

scan

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

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查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install agenticio/scan

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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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来源信息

Source: github
Repository: openclaw/skills
Path: skills/agenticio/scan
Version: —
Commit: 24d12bc0db5bb9228539237bd186c12b2b221438
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

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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