discipline

Implement 15 rules to prevent fabrication, constraint violations, and incomplete work.

3.2k|219|Updated Jul 27, 2024
One-click install
npx skills add https://github.com/av/harbor --skill discipline-av
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: discipline
Source: https://github.com/av/harbor/tree/main/.agents/skills/discipline
Command: npx skills add https://github.com/av/harbor --skill discipline-av

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill ensures that common agent failure modes are prevented through a robust set of rules, enhancing efficiency and reducing errors.

Core Features & Use Cases

  • Failure Prevention Rules: Provides 15 rules covering fabrication, constraint tracking, verification, scoping, retry discipline, and communication.
  • Enhanced Efficiency: Reduces the occurrence of failures and rework by adhering to best practices.
  • Use Case: Before starting any task, load this Skill to prevent agent failures such as fabricating data, ignoring user constraints, or delivering incomplete work.

Quick Start

Load the 'discipline' skill to prevent agent failures in your workflow.

Frequently Asked Questions about discipline

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

FAQPage Schema
How do I prevent AI agent failures like data fabrication and incomplete work?

Load an agent operating protocol before starting tasks to prevent failures like fabrication and incomplete work. This protocol applies 15 rules covering constraint tracking, verification, scoping, and communication to enforce best practices and enhance reliability.

What is an agent operating protocol for failure prevention?

An agent operating protocol for failure prevention is a robust set of 15 behavioral rules ensuring agents do not ignore user constraints or fabricate data. It standardizes best practices to enhance efficiency and reduce errors in operational environments.

How do I enforce constraint tracking and verification in agent management?

Enforce constraint tracking and verification in agent management by applying a structured operating protocol with 15 dedicated rules. This approach standardizes retry discipline and communication to prevent common failure modes and reduce rework.

Does this agent operating protocol work in any agent environment?

This agent operating protocol is designed specifically for Ivan's environment to prevent agent failures. It focuses on best practices for agent behavior within that context to enhance reliability and efficiency.

Why does my AI agent ignore user constraints and deliver incomplete work?

AI agents ignore user constraints and deliver incomplete work due to a lack of operational discipline. Implementing a protocol with 15 failure prevention rules covering scoping, verification, and communication corrects these common failure modes.

What is the best way to enhance agent reliability and efficiency?

The best way to enhance agent reliability and efficiency is to implement a comprehensive operating protocol. This prevents common failure modes through 15 rules covering fabrication, retry discipline, and communication, reducing the need for rework.