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Agent Loops

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Description

Deterministic agent loops for AI coding CLIs (Claude Code, Codex, Cursor, Kimi): worker + adversarial verifier agents, hard quality gates, automatic retries, human escalation. File-based, zero dependencies, one-click on/off.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Agent Loop

Stop auditing every AI agent output. Define tasks and quality gates once — a deterministic loop orchestrates worker and verifier agents until the work is proven correct or escalated to you.

[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE) [![Platform](https://img.shields.io/badge/platform-Windows%20%7C%20macOS%20%7C%20Linux-blue.svg)](#install-into-your-project) [![PowerShell 5.1+](https://img.shields.io/badge/PowerShell-5.1%2B-5391FE.svg)](#install-into-your-project) [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](CONTRIBUTING.md)

**🇩🇪 [Deutsche Version dieser Anleitung → README.de.md](README.de.md)**

Works natively with **Claude Code** and generically with **any agent CLI** (OpenAI Codex, Cursor, Kimi, custom) — same files, same protocol, swappable agent. IDE-only agents (e.g. Antigravity) are supported through a semi-automatic manual mode.


Table of Contents


The Problem

If you run several coding agents in parallel, **you** become the bottleneck: every output needs your review, every session needs your orchestration. Agent Loop inverts this:

Today With Agent Loop
You orchestrate every agent session A deterministic runne