codex-cli

Automate non-interactive OpenAI Codex CLI runs with clean output capture.

Updated Nov 8, 2025
One-click install
npx skills add https://github.com/berad217/human-training --skill codex-cli-berad217
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex-cli
Source: https://github.com/berad217/human-training/tree/main/skills-source/codex-cli
Command: npx skills add https://github.com/berad217/human-training --skill codex-cli-berad217

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Running OpenAI's Codex CLI non-interactively from scripts or other agents is prone to common footguns like infinite hangs from unclosed stdin, noisy output mixing final answers with progress logs, and unexpected behavior from heavy local config files, making automation unreliable without explicit guidance.

Core Features & Use Cases

  • Stdin hang prevention: Clear guidance for closing stdin correctly across bash and PowerShell to avoid blocked runs.
  • Clean output capture: Isolates the final agent response from stderr logs and reasoning streams for context-lean downstream use.
  • Configurable safety and control: Supports sandbox mode selection, model and reasoning effort overrides, and clean config flags for reproducible unattended runs in CI or cross-agent workflows.
  • Use case example: A developer can use this skill to run a headless code review of their repository from a CI pipeline and save only the final review summary to a file for later processing.

Quick Start

Use the codex-cli skill to run a headless analysis of your current repository and save only the final review summary to a file named repo-review.md.

Frequently Asked Questions about codex-cli

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

FAQPage Schema
How do I capture clean output from OpenAI Codex CLI in a CI pipeline?

The OpenAI Codex CLI hangs in scripts because of an unclosed stdin. Preventing stdin hang requires clear guidance for closing stdin correctly across bash and PowerShell environments to ensure unblocked, reliable headless automation runs.

How do I run headless Codex CLI automation without noisy mixed output?

Running headless Codex CLI automation without noisy mixed output involves isolating the final agent response from stderr logs. This clean output capture mechanism provides functional requirements for context-lean downstream use in scripted repository analysis tasks.

Can I configure sandbox safety and model overrides for unattended Codex CLI runs?

Yes, you can configure sandbox safety and model overrides for unattended Codex CLI runs. Configurable safety and control supports sandbox mode selection, model and reasoning effort overrides, and clean config flags for reproducible unattended runs in CI or cross-agent workflows.

What is the best way to automate scripted code review with OpenAI Codex CLI?

The best way to automate scripted code review with OpenAI Codex CLI is applying functional requirements for clean final-output capture and reproducible unattended runs. This enables a developer to run headless repository analysis and save only the final review summary to a file.

Does heavy local config affect reproducible headless Codex CLI execution?

Yes, heavy local config files cause unexpected behavior during reproducible headless Codex CLI execution. Applying clean config flags and user config overrides eliminates this issue, ensuring reliable automation for cross-agent consultation and CI pipeline integration.