agent-decision-records

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

Updated Feb 15, 2026
One-click install
npx skills add https://github.com/Kristopherlb/shinobi-wan --skill agent-decision-records
Or copy as Structured Prompt for Agent
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.