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arckit-agent-inventory

Catalog AI agents across project directories with capabilities, security classifications, and oversight levels.

Updated Jul 24, 2026
Search Tags:#architecture#compliance#risk-management#enterprise-architecture#ai-governance#agent-inventory
One-click install
npx skills add https://github.com/tractorjuice/arckit-kimi --skill arckit-agent-inventory
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: arckit-agent-inventory
Source: https://github.com/tractorjuice/arckit-kimi/tree/main/skills/arckit-agent-inventory
Command: npx skills add https://github.com/tractorjuice/arckit-kimi --skill arckit-agent-inventory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the lack of visibility and governance in enterprise AI deployments by creating a centralized, structured inventory of all AI agents, their capabilities, and their risk profiles.

Core Features & Use Cases

  • Agent Cataloging: Automatically identifies and documents agents across projects, capturing purpose, model, and ownership.
  • Governance & Security: Maps agents to risk levels, oversight models, and security classifications to ensure compliance.
  • Dependency Mapping: Visualizes agent-to-agent communication and orchestration patterns using Mermaid diagrams.
  • Use Case: An architect needs to audit all autonomous agents in a production environment to ensure they meet human-in-the-loop requirements; this skill generates the necessary register and dependency map to identify gaps.

Quick Start

Invoke the arckit-agent-inventory skill to scan the current project and generate a comprehensive agent register and security classification report.

Frequently Asked Questions about arckit-agent-inventory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I catalog AI agents across enterprise project directories?▼

To catalog AI agents across enterprise project directories, scan operational views and deployment configurations to extract agent definitions. This generates a structured inventory capturing each agent's purpose, model, and ownership.

What is AI agent governance and why do I need an agent inventory?▼

AI agent governance manages risk and compliance for autonomous systems. An agent inventory provides visibility by mapping security classifications and human oversight levels, ensuring deployed agents meet architectural governance and lifecycle requirements.

How do I assess risk and security classifications for autonomous agents in production?▼

Assess risk for autonomous agents by mapping them to security classifications and human oversight models within an enterprise architecture framework. This identifies compliance gaps and ensures human-in-the-loop requirements are met for production environments.

Can I map dependencies and communication patterns between enterprise AI agents?▼

Yes, you can map agent-to-agent dependencies and orchestration patterns using Mermaid diagrams. Visualizing these communication flows within the agent inventory highlights architectural relationships and potential risk zones across projects.

Does this agent inventory approach work without external architecture dependencies?▼

Yes, the agent inventory operates without external dependencies by scanning existing project directories directly. It extracts agent definitions from local design documents and deployment configurations to build the governance register.

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