run

Orchestrates CLI AI coding agents with unified commands across platforms and execution modes.

15|6|Updated Apr 20, 2026
One-click install
npx skills add https://github.com/phnx-labs/agents-cli --skill run-phnx-labs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: run
Source: https://github.com/phnx-labs/agents-cli/tree/main/skills/run
Command: npx skills add https://github.com/phnx-labs/agents-cli --skill run-phnx-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the fragmentation of CLI coding agents by providing a single, consistent interface to dispatch, manage, and monitor various AI agents across different platforms and environments.

Core Features & Use Cases

  • Multi-Harness Support: Execute tasks across Claude, Codex, Gemini, Cursor, OpenCode, and more using a unified command syntax.
  • Flexible Execution Modes: Toggle between interactive TUI sessions, headless automation, and permission-gated execution modes like plan, edit, auto, and skip.
  • Advanced Observability: Manage complex workflows with features like budget guardrails, automated fallback chains, secret injection, and remote host dispatching.

Quick Start

Use the run skill to execute a headless task with the Claude agent by typing agents run claude followed by your specific prompt.

Frequently Asked Questions about run

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

FAQPage Schema
How do I run multiple AI coding agents from a single command-line interface?

You can orchestrate diverse AI coding agents from a single CLI by dispatching tasks through a unified command syntax, supporting multi-harness execution across platforms like Claude, Codex, and Gemini.

What is the best way to automate headless AI agent workflows for coding tasks?

Automating headless AI agent workflows is best handled by toggling flexible execution modes that support headless task dispatching, automated fallback chains, and budget guardrails to manage complex development pipelines.

Can I manage AI coding agents on remote hosts and inject secrets during execution?

Yes, you can manage AI coding agents on remote hosts by offloading task dispatching to external environments, utilizing built-in secret injection to securely pass credentials during automated workflow execution.

Does this CLI orchestration tool support interactive TUI sessions alongside automated pipelines?

Yes, the CLI orchestration tool supports toggling between interactive TUI sessions for hands-on coding and headless automation for pipelines, featuring permission-gated execution modes like plan, edit, auto, and skip.

What are the limitations when dispatching tasks across different AI agent harnesses?

While cross-platform agent management is supported, task dispatching depends on the specific permission execution modes and budget guardrails configured, meaning complex workflows require robust observability to prevent runaway token consumption.