Capture Notes

This paper describes a methodology for building custom AI agents as application-specific components with tools, security boundaries, audit trails, CLI composition, and agent-tests-agent practices.

AI security relevance:

• Not primarily a security paper, but useful for the AI Technology Knowledge Map because it reflects how agent construction patterns are evolving.
• Helps identify security-relevant lifecycle artifacts: skills, hooks, CLI orchestration, liteshell patterns, system/message substrate, and audit trails.

Suggested ingest focus:

• Use for attack-surface mapping, not as security evidence.