classify-loop

Classify agent workflows by loop type and map governance controls.

4|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill classify-loop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: classify-loop
Source: https://github.com/m2ai-portfolio/m2ai-skills-pack/tree/main/skills/classify-loop
Command: npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill classify-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Classifies agent workflows by the loop type and maps each loop to the governance controls and rollback paths, enabling structured governance planning for agent deployments.

Core Features & Use Cases

  • Loop classification across Loop A (Code Generation), Loop B (Operational), Loop C (Supervisory), and Loop D (Fully Autonomous) with rationale and risk profile.
  • Controls mapping and governance guidance to produce a formal outputs for audits and reviews.
  • Use Case: During new agent design or deployment audits to determine the appropriate level of oversight and required approvals.

Quick Start

Describe your agent workflow to classify its governance loop and obtain the controls checklist.

Frequently Asked Questions about classify-loop

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

FAQPage Schema
How do I classify autonomous agent loops for governance and risk management?

To classify autonomous agent loops for governance and risk management, map the agent workflow to specific loop types—code-generation, operational, supervisory, or fully autonomous—to determine required oversight levels and rollback paths.

What governance controls do I need for a fully autonomous agent deployment?

For a fully autonomous agent deployment, governance controls are determined by classifying the loop type to produce a structured controls checklist, risk profile, and rollback paths required for formal audits and deployment approvals.

How do I audit an autonomous agent workflow during a governance review?

To audit an autonomous agent workflow during a governance review, classify the agent's operational loop to generate a loop-stability assessment, rationale, and structured controls checklist for ongoing risk management.

When do I need to map rollback paths for autonomous agent workflows?

You need to map rollback paths for autonomous agent workflows during new agent design or deployment audits to determine the appropriate level of human oversight and required approvals for each specific loop type.

Does agent loop classification work for both code-generation and supervisory loops?

Yes, agent loop classification works for both code-generation and supervisory loops, mapping each distinct loop type to the appropriate governance controls, risk profiles, and rollback paths for structured governance planning.

What is the best way to determine required approvals for an autonomous agent loop?

The best way to determine required approvals for an autonomous agent loop is to classify the workflow into its specific loop category and use the resulting controls checklist and loop-stability assessment to define the autonomy level.