agent-decision-records

Name: agent-decision-records
Availability: InStock
Author: kristopherlb

Standardize agent decision records with identifiers, governance metadata, and evidence references.

Updated Feb 15, 2026

Search Tags:#compliance #agent #mcp #governance #decision records #auditability

Ready to run

npx skills add https://github.com/Kristopherlb/shinobi-wan --skill agent-decision-records

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-decision-records
Source: https://github.com/Kristopherlb/shinobi-wan/tree/main/.cursor/skills/agent-decision-records
Command: npx skills add https://github.com/Kristopherlb/shinobi-wan --skill agent-decision-records

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams capture and standardize agent decisions so tool selection, constraints, approvals, and security-relevant choices remain traceable and auditable.

Core Features & Use Cases

Decision Record Creation: Defines a consistent structure for recording agent decisions, alternatives, constraints, and required approvals.
Auditability Support: Captures classification, roles, scopes, determinism constraints, SLA expectations, and evidence references for review workflows.
Use Case: Use this Skill when an agent selects tools through MCP, introduces restricted actions, or makes architecture decisions that require operational review.

Quick Start

Use the agent-decision-records skill to create an auditable decision record for the selected agent tool and approval requirements.

Frequently Asked Questions about agent-decision-records

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

FAQPage Schema

How do I make AI agent decisions auditable for compliance reviews?▼

To make agent decisions auditable, standardize them into structured records that capture choices, constraints, alternatives, and required approvals for compliance tracking.

What is an agent decision record in governance workflows?▼

An agent decision record is a structured log standardizing AI choices, tool selections, and restricted actions with stable identifiers and governance metadata for operational review.

How do I capture tool selection constraints when using MCP?▼

Capture MCP tool selection constraints by creating decision records that document classification, roles, scopes, determinism constraints, SLA expectations, and evidence references.

Can I use decision records for architecture decisions that require operational review?▼

Yes, decision records support architecture decisions by capturing required approvals, security-relevant choices, and governance metadata to ensure choices remain traceable and review-ready.

What is the best way to track restricted actions introduced by an AI agent?▼

The best way to track restricted actions is applying structured decision records with stable identifiers, classification, and evidence references for auditability.

What limitations exist when standardizing agent choices for auditability?▼

Standardizing agent choices requires structured records with stable identifiers and governance metadata; without consistent evidence references, auditability and compliance tracking may fail.