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RAPTOR Loop Hunt Packages Security Hunting as an Agent Skill

RAPTOR Loop Hunt shows security research moving toward looped agent skills with altitude changes, evidence collection, and review checkpoints.

Signal contract

RAPTOR Loop Hunt shows security research moving toward looped agent skills with altitude changes, evidence collection, and review checkpoints. Security agents become useful when they can preserve hypotheses, collect evidence, and force verification before claims become reports. Novelty: notable. Verification: source-linked. This New Runtime record is an evidence-linked retrieval unit.

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1github.comrepoprimary receiptsource_urls

Observation

RAPTOR Loop Hunt shows security research moving toward looped agent skills with altitude changes, evidence collection, and review checkpoints.

Why it matters

Security agents become useful when they can preserve hypotheses, collect evidence, and force verification before claims become reports.

Entities

RAPTOR Loop Hunt, Claude Code skill, security research

Provenance

This public record is a sanitized New Runtime Editorial Inbox signal. Linked source_urls carry the publishable evidence boundary; private discovery provenance stays internal.

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  1. 01patternAgent security moves to runtime boundariesPattern connected to this observed signal.
  2. 02patternSkills become a portable capability layerPattern connected to this observed signal.
  3. 03patternVerification bandwidth is the scarce engineering resourcePattern connected to this observed signal.
  4. 04topicAI Security - New RuntimeExplore the ai security topic hub.
  5. 05topicCoding agents - New RuntimeExplore the coding agents topic hub.

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